Software Engineer

AO REED
Beltsville - MD - US
Salary: USD90,000 - USD110,000

Apply here: https://www.indeed.com/viewjob?jk=c8c7d870bea56ec6

The Bowers Group – A Legence Company

Established in 1984, The Bowers Group is a trusted provider of mechanical construction, service, and repair solutions across Maryland, Virginia, and Washington, D.C. With over three decades of experience, we serve a wide range of clients—from general contractors and technology-driven organizations to healthcare facilities, government agencies, and property managers. We deliver projects through a disciplined, collaborative approach focused on quality, cost control, and reliability. Our process includes rigorous equipment selection, detailed reviews, and proactive subcontractor management—helping us anticipate risks, avoid delays, and ensure safe, compliant, and efficient results. Our success is built on a people-first culture of teamwork, accountability, and respect. By investing in our employees and fostering open communication, we create an environment that supports long-term relationships—with both our team and our clients.



Position Overview

The Software Engineer is responsible for designing, building, and maintaining modern full-stack web applications hosted in Microsoft Azure that support the operations of W.E. Bowers & Associates, LLC. The role delivers applications, integrations, and data solutions used directly by W.E. Bowers business users, while collaborating with Legence shared services and engineering teams across other Legence operating companies on shared platforms, standards, and reusable components.

A defining element of this role is the day-to-day use of artificial intelligence in the software-development workflow. The Software Engineer will leverage Claude Code and related AI tooling to accelerate delivery, improve code quality, and embed AI capabilities into the applications they build.

This is a higher-entry-level position well suited to an early-career engineer with a foundation in full-stack web development who is ready to assume greater ownership, visibility, and responsibility for AI-assisted software delivery.

Key Responsibilities

* Design, build, and maintain full-stack web applications hosted in Microsoft Azure.
* Develop responsive, accessible front-end interfaces using React.
* Build and maintain back-end services, APIs, and integrations using Python and/or Java.
* Model, query, and manage data using Microsoft SQL Server and Microsoft Fabric.
* Leverage Claude Code and related AI development tools to accelerate delivery and improve code quality.
* Integrate AI capabilities into business applications to support W.E. Bowers users and drive operational efficiency.
* Maintain and modernize legacy reporting assets where applicable, including Crystal Reports tied to the Spectrum platform.
* Partner directly with W.E. Bowers business users on-site to gather requirements, troubleshoot issues, and deliver fit-for-purpose solutions.
* Collaborate with Legence shared services and engineering teams across other Legence operating companies on standards, security, and platform initiatives.
* Document solutions, follow source-control and CI/CD best practices, and contribute to a high-quality engineering culture.


Desired Skills and Experience

* Education & Credentials
* Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
* Experience
* 2 to 4 years of professional, post-college experience in full-stack web application development.
* Proficiency with React for front-end development.
* Strong professional experience with Python or Java for back-end development; working knowledge of the other is strongly preferred.
* Hands-on experience designing, querying, and managing data in Microsoft SQL Server and Microsoft Fabric.
* Demonstrated working experience across the Microsoft Azure ecosystem, including services such as Azure App Service, Azure Functions, Azure SQL, Cosmos DB, Azure AI Foundry / Azure OpenAI Service, Azure DevOps or GitHub Actions, and Microsoft Entra ID.
* Hands-on experience with Claude Code or comparable agentic AI coding tools (such as Cursor or GitHub Copilot agents), with demonstrated readiness to adopt Claude Code from day one.
* Strong written and verbal communication skills, with the ability to translate business requirements into working technical solutions.
* Preferred Experience
* Experience building reports and dashboards in Microsoft Power BI.
* Experience maintaining or modernizing reports in Crystal Reports, particularly those tied to the Spectrum platform.
* Exposure to additional AI development capabilities, frameworks, and patterns beyond Claude Code.
* Interest in or exposure to the AEC (architecture, engineering, and construction) or MEP industry.
* Self-motivated, detail-oriented, and able to manage multiple priorities in a fast-paced environment.


Additional Notes

* The salary range for this position is $90,000 to $110,000 annually, commensurate with experience and qualifications.
* There is no visa sponsorship available for this position.


#LI-AC1 #LI-Onsite



About Legence

**Legence (Nasdaq:** LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.

Benefits Overview

**Health & Welfare:** Company Paid medical, dental, vision, prescription drug, accident & sickness benefit, basic group life and AD&D

**Time Off Benefits:** Comprehensive Paid Time Off (PTO) program.

**Financial Benefits:** 401(k) retirement savings plan

Reasonable Accommodations

If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number.

Employment Eligibility

Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position.

Third-Party Recruiting Disclaimer

Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence.

Pay Disclosure & Considerations

Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws.

Equal Employment Opportunity Employer

Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations.

EEO is the Law

Staff / Senior Staff Product Engineer, Full Stack - Codex for Finance

OpenAI
San Francisco - CA - US
Salary: USD230,000 - USD385,000

Apply here: https://www.indeed.com/viewjob?jk=a3a83020d7f1b1ed

About the Team



Codex for Finance is a specialized team within OpenAI’s B2B Applications organization. B2B Applications builds and operates the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI’s technology is delivered with reliability, security, and a world-class user experience.



About the Role



We’re looking for full stack product engineers to help design and scale the future of AI in finance. We’re a small, specialized team operating like a startup within OpenAI, and we’re looking for like-minded builders to join us. On March 5, we launched



ChatGPT for Excel



— just the first step in what we’re building in this space.



**In this role, you will:**

Own the end-to-end development lifecycle for new enterprise products.



Collaborate closely with product, design and external customers to understand problems and implement effective solutions



Work with the research team to improve our next generation of models



**Your background might look something like:**

7+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies



Former founder, or early engineer at a startup who has built a product from scratch is a plus



Proficiency with TypeScript, React, and other web technologies



Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts



Some experience with relational databases like Postgres/MySQL



Care deeply about reliability, safety, and performance in production environments.



Interest in AI/ML (direct experience not required)



Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.



**Title note:**

At OpenAI, research and engineering hires share the internal title



Member of Technical Staff



. We use Staff / Senior Staff externally to signal the depth of experience, ownership, and technical leadership expected for this role.



About OpenAI



OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.



We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.



For additional information, please see



OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement



.



Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.



To notify OpenAI that you believe this job posting is non-compliant, please submit a report through



this form



. No response will be provided to inquiries unrelated to job posting compliance.



We are committed to providing reasonable accommodations to applicants with disabilities.



OpenAI Global Applicant Privacy Policy



At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.



Compensation



$230K – $385K + Offers Equity

Senior Staff Backend Software Engineer, Codex for Finance

OpenAI
San Francisco - CA - US
Salary: USD230,000 - USD385,000

Apply here: https://www.indeed.com/viewjob?jk=720edc35fe42ae27

About the Team



Codex for Finance is a specialized team within OpenAI’s B2B Applications organization. B2B Applications builds and operates the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI’s technology is delivered with reliability, security, and a world-class user experience.



About the Role



We’re looking for backend engineers to help design and scale the systems that will drive the future of AI in finance. We’re a small, specialized team operating like a startup within OpenAI, and we’re looking for like-minded builders to join us. On March 5, we launched



ChatGPT for Excel



— just the first step in what we’re building in this space.



**In this role, you will:**

Own the end-to-end development lifecycle for new new platform capabilities and integrations with other systems



Collaborate closely with product, design and external customers to understand problems and implement effective solutions



Work with the research team to improve our next generation of models



**Your background might look something like:**

7+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies



Former founder, or early engineer at a startup who has built a product from scratch is a plus



Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts.



Enjoy building infrastructure that supports billions of requests and petabytes of data.



Care deeply about reliability, safety, and performance in production environments.



Interest in AI/ML (direct experience not required)



Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.



**Title note:**

At OpenAI, research and engineering hires share the internal title



Member of Technical Staff



. We use Senior Staff externally to signal the depth of experience, ownership, and technical leadership expected for this role.



About OpenAI



OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.



We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.



For additional information, please see



OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement



.



Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.



To notify OpenAI that you believe this job posting is non-compliant, please submit a report through



this form



. No response will be provided to inquiries unrelated to job posting compliance.



We are committed to providing reasonable accommodations to applicants with disabilities.



OpenAI Global Applicant Privacy Policy



At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.



Compensation



$230K – $385K + Offers Equity

Readiness & Enablement Lead, SMB Sales

OpenAI
San Francisco - CA - US
Salary: USD239,000 - USD265,000

Apply here: https://www.indeed.com/viewjob?jk=eda2943a79d943e9

About the Team



The B2B Marketing team contributes to OpenAI’s broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform across SMB, enterprise, and developer audiences.



The SMB Sales team is responsible for helping businesses around the world understand, adopt, and succeed with OpenAI’s products. As OpenAI scales across regions, vendors, and sales motions, we are building the operating systems that ensure our frontline teams can execute with consistency, quality, and speed.



We partner closely with Sales Leadership, Vendor Management, Program Management, Revenue Operations, Product, and vendor leadership to design scalable commercial motions and ensure sellers are prepared to deliver high-quality customer experiences. Our work sits at the intersection of strategy, execution, and operational rigor.



About the Role



We are hiring a global Readiness & Enablement Lead to build and scale the onboarding, training, quality, certification, and seller readiness operating system across OpenAI’s outsourced SMB Sales vendor network.



This is not a traditional training coordinator role. We are looking for a builder who can design scalable readiness frameworks, identify performance risks early, and create repeatable systems that help sellers ramp faster, perform better, and maintain high quality as the business evolves.



This role is global by design. You’ll travel across vendor sites, inspect frontline execution, calibrate quality firsthand, and ensure consistent readiness standards across regions, vendors, and sales motions. The core principle is simple: training is not an event; readiness is a system.



**In this role, you will:**

Build and scale global onboarding, readiness, and certification frameworks across SMB sales vendors, regions, and sales motions



Create role-based onboarding paths, knowledge checks, pass/fail standards, and ramp expectations for vendor sellers



Ensure vendor trainers can deliver readiness programs consistently and at scale



Design enablement for new products, pricing changes, process updates, and motion launches



Monitor ramp quality, certification performance, productivity curves, and early quality signals to identify risk early



Build dashboards, inspection mechanisms, and feedback loops that connect readiness to seller performance and quality outcomes



Partner with Vendor Managers, Sales Leadership, RevOps, Product, Program Management, and vendor leaders to diagnose and close execution gaps



Creating scalable knowledge systems and AI-enabled workflows that improve onboarding speed, knowledge retention, and readiness inspection



**You might thrive in this role if you have:**

8+ years of experience in sales enablement, readiness, onboarding, training operations, vendor enablement, or scaled commercial operations



Direct experience supporting outsourced sales teams, BPO environments, or large distributed sales organizations



Experience operating in software, SaaS, cloud, ads, or another high-velocity commercial environment



Proven ownership of onboarding, ramp quality, certification programs, and seller readiness outcomes



Strong understanding of sales funnel performance, quality frameworks, frontline coaching, and manager effectiveness



Executive presence, strong operational discipline, and the ability to influence vendor leaders and internal cross-functional stakeholders



Workplace & Location



This role will be based in San Francisco, CA or New York City. Relocation will be required for this role if you are not located in either of these locations, and regular travel will be part of this role.



**Compensation Range:**

$239K - $265K USD



About OpenAI



OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.



We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.



For additional information, please see



OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement



.



Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.



To notify OpenAI that you believe this job posting is non-compliant, please submit a report through



this form



. No response will be provided to inquiries unrelated to job posting compliance.



We are committed to providing reasonable accommodations to applicants with disabilities.



OpenAI Global Applicant Privacy Policy



At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.



Compensation



$239K – $265K + Offers Equity

Staff Software Development Engineer

CVS Health
Cheyenne - WY - US
Salary: USD106,605 - USD284,280

Apply here: https://www.indeed.com/viewjob?jk=3ab6be391a8ba56b

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

**Position Summary:**


Join Fortune 7 CVS Health as a **Staff Software Engineer** to lead and advance our Site Reliability Engineering (SRE), AIOps, Observability, and Monitoring capabilities in the CVS Digital team. This role is critical in advancing intelligent, automated, and scalable reliability practices across our platforms. You will drive the evolution from traditional monitoring to **AI-driven operations (AIOps)** leveraging automation, machine learning, and advanced analytics to improve system resilience, reduce operational toil, and accelerate incident detection and resolution. As a technical leader, you will influence architecture, build platforms, and mentor teams to embed reliability, observability, and automation into the software delivery lifecycle.

**Key Responsibilities:**

* **SRE Strategy & Reliability Engineering**
+ Define and implement enterprise-wide SRE practices, including SLIs, SLOs, error budgets, and reliability governance.
+ Drive a culture of reliability, automation, and continuous improvement across engineering teams.
+ Establish metrics-driven approaches to measure system health, availability, and performance.
* **AIOps & Intelligent Operations**
+ Lead adoption of **AIOps solutions** to enable predictive monitoring, anomaly detection, and automated root cause analysis.
+ Integrate machine learning models and analytics into monitoring pipelines to proactively detect and prevent incidents.
+ Develop intelligent alerting systems to reduce noise and improve signal quality.
* **Observability & Monitoring Platforms**
+ Architect and build scalable observability frameworks covering metrics, logs, traces, and events.
+ Define standards for instrumentation, telemetry collection, and distributed tracing.
+ Enable real-time insights into system performance across microservices and cloud-native architectures.
* **Incident Management & Automation**
+ Lead incident response practices, including on-call readiness, RCA, postmortems, and continuous learning loops.
+ Build self-healing systems and automate remediation workflows to reduce Mean Time to Resolution (MTTR).
+ Implement runbooks, playbooks, and automated escalations.
* **Platform Engineering & Tooling**
+ Develop internal platforms and tools for observability, monitoring, and performance optimization.
+ Integrate observability into CI/CD pipelines to enable proactive quality and reliability checks.
+ Drive infrastructure automation using IaaC frameworks and GitOps principles.
* **Collaboration & Technical Leadership**
+ Partner with engineering, platform, and product teams to embed reliability and observability into system design.
+ Mentor engineers and lead design reviews focused on scalability, resilience, and operability.
+ Influence enterprise architecture decisions and promote best practices across teams.

**Required Qualifications:**

* 5+ years of experience in software engineering, SRE, or production engineering in large-scale distributed systems.
* Hands-on experience with Observability tools such as AppDynamics, Grafana, Prometheus, Datadog, OpenTelemetry, or similar.
* Experience with AIOps or intelligent monitoring platforms, including anomaly detection and event correlation.
* Strong expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native architectures (Kubernetes, containers, microservices).
* Proficiency in at least one programming language (e.g., Python, Java, Go).
* Strong understanding of distributed systems, resiliency patterns, and fault tolerance.
* Experience implementing incident management, on-call processes, and root cause analysis.
* Hands-on expertise with Infrastructure as Code (Terraform, ARM, CloudFormation) and CI/CD pipelines.
* Experience using GenAI/Automation tools and frameworks such as OpenAI, CoPilot, Gemini, Claude, MCP etc.
* Proven ability to design scalable, reliable, and observable systems.

**Preferred Qualifications:**

* Experience designing and implementing AIOps platforms or predictive reliability systems at scale.
* Strong knowledge of machine learning applications in IT operations (e.g., anomaly detection, forecasting, clustering).
* Experience defining and managing SLIs/SLOs and error budgets at scale.
* Experience with OpenTelemetry and modern observability standards.
* Familiarity with chaos engineering, resilience testing, and fault injection frameworks.
* Exposure to GenAI-driven operations or AI-assisted troubleshooting tools.
* Experience in healthcare, finance, enterprise SaaS, or highly regulated industries.
* Demonstrated leadership in driving cross-functional initiatives and influencing senior stakeholders.
* Contributions to open-source projects in SRE, observability, or AIOps domains.

**Education:**

* Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or related discipline.
* Certifications in AIOps, SRE, OpenTelemetry, cloud platforms, or DevOps are a plus.

**Leadership Competencies:**

* Strategic thinking and execution excellence
* Strong communication and stakeholder influence
* Data-driven decision making
* Continuous improvement mindset

**Pay Range**


The typical pay range for this role is:


$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.



Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**


We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.



This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.



We anticipate the application window for this opening will close on: 07/20/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Staff Software Development Engineer

CVS Health
Montpelier - VT - US
Salary: USD106,605 - USD284,280

Apply here: https://www.indeed.com/viewjob?jk=77302c80a08fc4d0

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

**Position Summary:**


Join Fortune 7 CVS Health as a **Staff Software Engineer** to lead and advance our Site Reliability Engineering (SRE), AIOps, Observability, and Monitoring capabilities in the CVS Digital team. This role is critical in advancing intelligent, automated, and scalable reliability practices across our platforms. You will drive the evolution from traditional monitoring to **AI-driven operations (AIOps)** leveraging automation, machine learning, and advanced analytics to improve system resilience, reduce operational toil, and accelerate incident detection and resolution. As a technical leader, you will influence architecture, build platforms, and mentor teams to embed reliability, observability, and automation into the software delivery lifecycle.

**Key Responsibilities:**

* **SRE Strategy & Reliability Engineering**
+ Define and implement enterprise-wide SRE practices, including SLIs, SLOs, error budgets, and reliability governance.
+ Drive a culture of reliability, automation, and continuous improvement across engineering teams.
+ Establish metrics-driven approaches to measure system health, availability, and performance.
* **AIOps & Intelligent Operations**
+ Lead adoption of **AIOps solutions** to enable predictive monitoring, anomaly detection, and automated root cause analysis.
+ Integrate machine learning models and analytics into monitoring pipelines to proactively detect and prevent incidents.
+ Develop intelligent alerting systems to reduce noise and improve signal quality.
* **Observability & Monitoring Platforms**
+ Architect and build scalable observability frameworks covering metrics, logs, traces, and events.
+ Define standards for instrumentation, telemetry collection, and distributed tracing.
+ Enable real-time insights into system performance across microservices and cloud-native architectures.
* **Incident Management & Automation**
+ Lead incident response practices, including on-call readiness, RCA, postmortems, and continuous learning loops.
+ Build self-healing systems and automate remediation workflows to reduce Mean Time to Resolution (MTTR).
+ Implement runbooks, playbooks, and automated escalations.
* **Platform Engineering & Tooling**
+ Develop internal platforms and tools for observability, monitoring, and performance optimization.
+ Integrate observability into CI/CD pipelines to enable proactive quality and reliability checks.
+ Drive infrastructure automation using IaaC frameworks and GitOps principles.
* **Collaboration & Technical Leadership**
+ Partner with engineering, platform, and product teams to embed reliability and observability into system design.
+ Mentor engineers and lead design reviews focused on scalability, resilience, and operability.
+ Influence enterprise architecture decisions and promote best practices across teams.

**Required Qualifications:**

* 5+ years of experience in software engineering, SRE, or production engineering in large-scale distributed systems.
* Hands-on experience with Observability tools such as AppDynamics, Grafana, Prometheus, Datadog, OpenTelemetry, or similar.
* Experience with AIOps or intelligent monitoring platforms, including anomaly detection and event correlation.
* Strong expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native architectures (Kubernetes, containers, microservices).
* Proficiency in at least one programming language (e.g., Python, Java, Go).
* Strong understanding of distributed systems, resiliency patterns, and fault tolerance.
* Experience implementing incident management, on-call processes, and root cause analysis.
* Hands-on expertise with Infrastructure as Code (Terraform, ARM, CloudFormation) and CI/CD pipelines.
* Experience using GenAI/Automation tools and frameworks such as OpenAI, CoPilot, Gemini, Claude, MCP etc.
* Proven ability to design scalable, reliable, and observable systems.

**Preferred Qualifications:**

* Experience designing and implementing AIOps platforms or predictive reliability systems at scale.
* Strong knowledge of machine learning applications in IT operations (e.g., anomaly detection, forecasting, clustering).
* Experience defining and managing SLIs/SLOs and error budgets at scale.
* Experience with OpenTelemetry and modern observability standards.
* Familiarity with chaos engineering, resilience testing, and fault injection frameworks.
* Exposure to GenAI-driven operations or AI-assisted troubleshooting tools.
* Experience in healthcare, finance, enterprise SaaS, or highly regulated industries.
* Demonstrated leadership in driving cross-functional initiatives and influencing senior stakeholders.
* Contributions to open-source projects in SRE, observability, or AIOps domains.

**Education:**

* Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or related discipline.
* Certifications in AIOps, SRE, OpenTelemetry, cloud platforms, or DevOps are a plus.

**Leadership Competencies:**

* Strategic thinking and execution excellence
* Strong communication and stakeholder influence
* Data-driven decision making
* Continuous improvement mindset

**Pay Range**


The typical pay range for this role is:


$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.



Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**


We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.



This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.



We anticipate the application window for this opening will close on: 07/20/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Staff Software Development Engineer

CVS Health
Pierre - SD - US
Salary: USD106,605 - USD284,280

Apply here: https://www.indeed.com/viewjob?jk=397dffe7a69bb809

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

**Position Summary:**


Join Fortune 7 CVS Health as a **Staff Software Engineer** to lead and advance our Site Reliability Engineering (SRE), AIOps, Observability, and Monitoring capabilities in the CVS Digital team. This role is critical in advancing intelligent, automated, and scalable reliability practices across our platforms. You will drive the evolution from traditional monitoring to **AI-driven operations (AIOps)** leveraging automation, machine learning, and advanced analytics to improve system resilience, reduce operational toil, and accelerate incident detection and resolution. As a technical leader, you will influence architecture, build platforms, and mentor teams to embed reliability, observability, and automation into the software delivery lifecycle.

**Key Responsibilities:**

* **SRE Strategy & Reliability Engineering**
+ Define and implement enterprise-wide SRE practices, including SLIs, SLOs, error budgets, and reliability governance.
+ Drive a culture of reliability, automation, and continuous improvement across engineering teams.
+ Establish metrics-driven approaches to measure system health, availability, and performance.
* **AIOps & Intelligent Operations**
+ Lead adoption of **AIOps solutions** to enable predictive monitoring, anomaly detection, and automated root cause analysis.
+ Integrate machine learning models and analytics into monitoring pipelines to proactively detect and prevent incidents.
+ Develop intelligent alerting systems to reduce noise and improve signal quality.
* **Observability & Monitoring Platforms**
+ Architect and build scalable observability frameworks covering metrics, logs, traces, and events.
+ Define standards for instrumentation, telemetry collection, and distributed tracing.
+ Enable real-time insights into system performance across microservices and cloud-native architectures.
* **Incident Management & Automation**
+ Lead incident response practices, including on-call readiness, RCA, postmortems, and continuous learning loops.
+ Build self-healing systems and automate remediation workflows to reduce Mean Time to Resolution (MTTR).
+ Implement runbooks, playbooks, and automated escalations.
* **Platform Engineering & Tooling**
+ Develop internal platforms and tools for observability, monitoring, and performance optimization.
+ Integrate observability into CI/CD pipelines to enable proactive quality and reliability checks.
+ Drive infrastructure automation using IaaC frameworks and GitOps principles.
* **Collaboration & Technical Leadership**
+ Partner with engineering, platform, and product teams to embed reliability and observability into system design.
+ Mentor engineers and lead design reviews focused on scalability, resilience, and operability.
+ Influence enterprise architecture decisions and promote best practices across teams.

**Required Qualifications:**

* 5+ years of experience in software engineering, SRE, or production engineering in large-scale distributed systems.
* Hands-on experience with Observability tools such as AppDynamics, Grafana, Prometheus, Datadog, OpenTelemetry, or similar.
* Experience with AIOps or intelligent monitoring platforms, including anomaly detection and event correlation.
* Strong expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native architectures (Kubernetes, containers, microservices).
* Proficiency in at least one programming language (e.g., Python, Java, Go).
* Strong understanding of distributed systems, resiliency patterns, and fault tolerance.
* Experience implementing incident management, on-call processes, and root cause analysis.
* Hands-on expertise with Infrastructure as Code (Terraform, ARM, CloudFormation) and CI/CD pipelines.
* Experience using GenAI/Automation tools and frameworks such as OpenAI, CoPilot, Gemini, Claude, MCP etc.
* Proven ability to design scalable, reliable, and observable systems.

**Preferred Qualifications:**

* Experience designing and implementing AIOps platforms or predictive reliability systems at scale.
* Strong knowledge of machine learning applications in IT operations (e.g., anomaly detection, forecasting, clustering).
* Experience defining and managing SLIs/SLOs and error budgets at scale.
* Experience with OpenTelemetry and modern observability standards.
* Familiarity with chaos engineering, resilience testing, and fault injection frameworks.
* Exposure to GenAI-driven operations or AI-assisted troubleshooting tools.
* Experience in healthcare, finance, enterprise SaaS, or highly regulated industries.
* Demonstrated leadership in driving cross-functional initiatives and influencing senior stakeholders.
* Contributions to open-source projects in SRE, observability, or AIOps domains.

**Education:**

* Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or related discipline.
* Certifications in AIOps, SRE, OpenTelemetry, cloud platforms, or DevOps are a plus.

**Leadership Competencies:**

* Strategic thinking and execution excellence
* Strong communication and stakeholder influence
* Data-driven decision making
* Continuous improvement mindset

**Pay Range**


The typical pay range for this role is:


$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.



Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**


We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.



This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.



We anticipate the application window for this opening will close on: 07/20/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Staff Software Development Engineer

CVS Health
Providence - RI - US
Salary: USD106,605 - USD284,280

Apply here: https://www.indeed.com/viewjob?jk=eedea24e95febe52

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

**Position Summary:**


Join Fortune 7 CVS Health as a **Staff Software Engineer** to lead and advance our Site Reliability Engineering (SRE), AIOps, Observability, and Monitoring capabilities in the CVS Digital team. This role is critical in advancing intelligent, automated, and scalable reliability practices across our platforms. You will drive the evolution from traditional monitoring to **AI-driven operations (AIOps)** leveraging automation, machine learning, and advanced analytics to improve system resilience, reduce operational toil, and accelerate incident detection and resolution. As a technical leader, you will influence architecture, build platforms, and mentor teams to embed reliability, observability, and automation into the software delivery lifecycle.

**Key Responsibilities:**

* **SRE Strategy & Reliability Engineering**
+ Define and implement enterprise-wide SRE practices, including SLIs, SLOs, error budgets, and reliability governance.
+ Drive a culture of reliability, automation, and continuous improvement across engineering teams.
+ Establish metrics-driven approaches to measure system health, availability, and performance.
* **AIOps & Intelligent Operations**
+ Lead adoption of **AIOps solutions** to enable predictive monitoring, anomaly detection, and automated root cause analysis.
+ Integrate machine learning models and analytics into monitoring pipelines to proactively detect and prevent incidents.
+ Develop intelligent alerting systems to reduce noise and improve signal quality.
* **Observability & Monitoring Platforms**
+ Architect and build scalable observability frameworks covering metrics, logs, traces, and events.
+ Define standards for instrumentation, telemetry collection, and distributed tracing.
+ Enable real-time insights into system performance across microservices and cloud-native architectures.
* **Incident Management & Automation**
+ Lead incident response practices, including on-call readiness, RCA, postmortems, and continuous learning loops.
+ Build self-healing systems and automate remediation workflows to reduce Mean Time to Resolution (MTTR).
+ Implement runbooks, playbooks, and automated escalations.
* **Platform Engineering & Tooling**
+ Develop internal platforms and tools for observability, monitoring, and performance optimization.
+ Integrate observability into CI/CD pipelines to enable proactive quality and reliability checks.
+ Drive infrastructure automation using IaaC frameworks and GitOps principles.
* **Collaboration & Technical Leadership**
+ Partner with engineering, platform, and product teams to embed reliability and observability into system design.
+ Mentor engineers and lead design reviews focused on scalability, resilience, and operability.
+ Influence enterprise architecture decisions and promote best practices across teams.

**Required Qualifications:**

* 5+ years of experience in software engineering, SRE, or production engineering in large-scale distributed systems.
* Hands-on experience with Observability tools such as AppDynamics, Grafana, Prometheus, Datadog, OpenTelemetry, or similar.
* Experience with AIOps or intelligent monitoring platforms, including anomaly detection and event correlation.
* Strong expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native architectures (Kubernetes, containers, microservices).
* Proficiency in at least one programming language (e.g., Python, Java, Go).
* Strong understanding of distributed systems, resiliency patterns, and fault tolerance.
* Experience implementing incident management, on-call processes, and root cause analysis.
* Hands-on expertise with Infrastructure as Code (Terraform, ARM, CloudFormation) and CI/CD pipelines.
* Experience using GenAI/Automation tools and frameworks such as OpenAI, CoPilot, Gemini, Claude, MCP etc.
* Proven ability to design scalable, reliable, and observable systems.

**Preferred Qualifications:**

* Experience designing and implementing AIOps platforms or predictive reliability systems at scale.
* Strong knowledge of machine learning applications in IT operations (e.g., anomaly detection, forecasting, clustering).
* Experience defining and managing SLIs/SLOs and error budgets at scale.
* Experience with OpenTelemetry and modern observability standards.
* Familiarity with chaos engineering, resilience testing, and fault injection frameworks.
* Exposure to GenAI-driven operations or AI-assisted troubleshooting tools.
* Experience in healthcare, finance, enterprise SaaS, or highly regulated industries.
* Demonstrated leadership in driving cross-functional initiatives and influencing senior stakeholders.
* Contributions to open-source projects in SRE, observability, or AIOps domains.

**Education:**

* Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or related discipline.
* Certifications in AIOps, SRE, OpenTelemetry, cloud platforms, or DevOps are a plus.

**Leadership Competencies:**

* Strategic thinking and execution excellence
* Strong communication and stakeholder influence
* Data-driven decision making
* Continuous improvement mindset

**Pay Range**


The typical pay range for this role is:


$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.



Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**


We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.



This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.



We anticipate the application window for this opening will close on: 07/20/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Software Engineer IV - AI

SEACORP
Middletown - RI - US

Apply here: https://www.indeed.com/viewjob?jk=49f31298f7c4c39d

SEACORP is seeking a well-qualified **Software Engineer IV - AI**.


**Primary Duties and Responsibilities:**


**Job Summary****:** SEACORP is seeking to fill a Software Engineer – AI position to support the development, integration, testing, and sustainment of modern US Navy software systems using advanced AI-assisted software engineering workflows. This position is intended for highly capable software engineers who are proficient not only in software development fundamentals, but also in leveraging AI-enabled development tools to accelerate delivery, improve code quality, automate repetitive tasks, and enhance engineering productivity across the software lifecycle. The ideal candidate understands how to effectively utilize AI coding assistants, agentic software engineering workflows, and modern developer tooling to support requirements analysis, software implementation, testing, debugging, refactoring, documentation generation, and codebase comprehension. This role requires strong engineering judgment and the ability to balance AI-generated outputs with sound software engineering principles, architecture awareness, maintainability, and operational reliability.


Job Responsibilities Include:

* Develop, integrate, test, and maintain software applications using modern AI-assisted software engineering workflows.
* Utilize AI development tools such as Cursor, Claude Code, OpenAI Codex, Continue.dev, and related technologies to improve software engineering productivity and effectiveness.
* Collaborate with software engineers, architects, testers, and system integrators within Agile software development environments.
* Implement software solutions in Java and related technologies while applying secure coding practices and software engineering best practices.
* Utilize Git, GitLab, and Atlassian collaboration tools to support source control, issue tracking, code reviews, sprint execution, and software delivery workflows.
* Support AI-assisted code generation, debugging, test generation, refactoring, and documentation activities while validating outputs for correctness, maintainability, and security.
* Work within large and complex codebases while leveraging AI tooling to improve software comprehension, navigation, and development efficiency.
* Support CI/CD-driven software engineering workflows and automated testing approaches.
* Assist with the evaluation and adoption of emerging AI-enabled software engineering tools, workflows, and developer productivity technologies.
* Produce technical documentation, software artifacts, test evidence, and implementation guidance to support engineering and program objectives.


**Qualifications:**


**Education:** Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field.

**Experience****:** Required knowledge of Git, GitLab, Atlassian tools, VS Code, Cursor, Java, Claude Code, OpenAI Codex, Continue.dev, Linux, and Red Hat Enterprise Linux (RHEL). Candidates should have the ability to work in a fast-paced work environment. Able to collaborate with others while being able to handle independent tasking. Ability to learn new technologies quickly.


Required Experience: Required knowledge of Git, GitLab, Atlassian tools, VS Code, Cursor, Java, Claude Code, OpenAI Codex, Continue.dev, Linux, and Red Hat Enterprise Linux (RHEL). Candidates should have the ability to work in a fast-paced work environment. Able to collaborate with others while being able to handle independent tasking. Ability to learn new technologies quickly.

* 3+ years of experience in software engineering, software integration, or application development.
* Experience using AI-assisted software engineering tools and workflows to support software development activities.
* Strong experience with Git-based development workflows and collaborative source control practices.
* Experience with GitLab repositories, merge requests, branching strategies, and CI/CD integration workflows.
* Experience utilizing Atlassian tools such as Jira and Confluence within Agile software development environments.
* Strong proficiency with modern software development environments including VS Code and AI-enabled development extensions.
* Experience developing software applications in Java.
* Experience working within Linux-based development and deployment environments, including Red Hat Enterprise Linux (RHEL).
* Familiarity with Linux command-line operations, shell scripting, package management, system services, permissions, process management, and development toolchains.
* Ability to evaluate, validate, and refine AI-generated code outputs for correctness, security, maintainability, and operational suitability.
* Experience troubleshooting software defects, integration issues, build/test failures, and Linux-based runtime issues.


Desired Experience: Desired knowledge in the areas of AI-enabled software engineering workflows, agentic software development, embeddings generation, context optimization for large codebases, modern developer productivity tooling, and Linux-based software environments.



* Master’s degree in Computer Science, Software Engineering, or a related discipline.
* Experience with Team Submarine, SWFTS, US Navy program offices, TI/APB cycle
* Experience generating and utilizing embeddings to improve software engineering workflows, semantic search, retrieval augmentation, or codebase understanding.
* Experience reducing context complexity and optimizing workflows for large software repositories and multi-project codebases.
* Experience developing software in C++, Python, Go, or Rust.
* Familiarity with containerized Linux development environments, Docker, Kubernetes, or DevOps workflows.
* Familiarity with LLM orchestration frameworks, MCP-based integrations, or agentic development environments.
* Experience with AI-assisted test generation, code review automation, or software documentation generation.
* Experience supporting software development within defense, government, or mission-critical environments.
* Experience with OpenClaw and Claude Cowork.


Exceptional Qualifications: Candidates possessing knowledge in these technologies will be considered exceptional candidates:



* Deep expertise utilizing AI-assisted software engineering workflows to accelerate software delivery while maintaining engineering rigor and code quality.
* Demonstrated experience integrating multiple AI coding assistants and developer productivity tools into production engineering workflows.
* Experience improving developer productivity across large-scale software repositories through embeddings, retrieval augmentation, semantic indexing, or context optimization techniques.
* Experience developing or integrating autonomous or semi-autonomous software engineering agents.
* Demonstrated ability to balance AI-generated implementation approaches with sound architecture, software quality, cybersecurity, and long-term maintainability considerations.
* Deep familiarity with the Hugging Face ecosystem including Transformers, Datasets, Tokenizers, PEFT, TRL, Accelerate,
* Diffusers, Safetensors, Text Generation Inference (TGI), and model packaging workflows.
* Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, DSPy, AutoGen, CrewAI, OpenAI SDKs/APIs, Anthropic APIs, Ollama APIs, vLLM APIs, LiteLLM, and MCP-based integrations.
* Experience integrating AI/ML capabilities into production software applications, APIs, developer platforms, CI/CD pipelines, IDE tooling, or enterprise software systems.
* Experience designing Retrieval-Augmented Generation (RAG) pipelines including embeddings generation, vectorization strategies, semantic chunking, reranking, hybrid search, and contextual retrieval techniques.
* Experience with vector databases and semantic search technologies such as FAISS, ChromaDB, Milvus, Weaviate, Pinecone, Elasticsearch/OpenSearch vector search, pgvector, or Qdrant.
* Experience with local or enterprise model inference hosting technologies including vLLM, Ollama, Hugging Face TGI, TensorRT-LLM, llama.cpp, Triton Inference Server, Ray Serve, BentoML, or KServe.
* Experience deploying and operating AI inference workloads on Kubernetes, Docker, Podman, OpenShift, or cloud-native GPU-enabled environments.
* Experience with distributed AI/ML training technologies including PyTorch Distributed, DeepSpeed, FSDP, Megatron-LM, Ray, Horovod, or NVIDIA NeMo.
* Experience developing, fine-tuning, training, evaluating, deploying, and hosting Large Language Models (LLMs) and AI/ML models in enterprise or on-premise environments.
* Experience with model optimization techniques including quantization, LoRA/QLoRA fine-tuning, pruning, batching optimization, speculative decoding, caching strategies, and GPU memory optimization.
* Experience with GPU-enabled infrastructure including NVIDIA CUDA, TensorRT, NCCL, MIG partitioning, multi-GPU orchestration, and high-performance AI compute environments.
* Experience with AI observability, evaluation, and monitoring technologies such as LangSmith, Weights & Biases, MLflow, OpenTelemetry, Phoenix/Arize, TruLens, or prompt evaluation frameworks.
* Experience with AI security and governance technologies including model isolation, prompt injection protections, content filtering, secrets management, supply chain validation, and secure model deployment practices.
* Experience building AI-enabled developer tooling including AI copilots, code assistants, autonomous coding agents, semantic code search, AI-driven test generation, or AI-enabled software modernization tools.
* Experience working with modern data and AI pipelines using Apache Kafka, Spark, Iceberg, Airflow, Ray, Redis, or streaming data architectures supporting AI/ML applications.
* Experience with enterprise AI deployment in disconnected, air-gapped, regulated, or classified environments.


**As a requirement of em****ployment, all SEACORP employees must hold U.S. Citizenship.**


**Location:** Middletown, RI


**Travel:** Quarterly (approximately 4 times a year)


**Clearance:** Secret


**Work Environment & Physical Demands:** Office & Computer Laboratories - Sitting, standing, extended periods of time using a mouse and keyboard and viewing computer screens. Infrequent lifting of <40lbs. Movement between points within the same office or between buildings. Work is performed in generally consistent environmental conditions with some seasonality for temperature differences and lighting.



Successful candidates will enjoy competitive wages and a very rich benefit program, including:


* **Medical Benefits:** Choice of two medical insurance programs through Blue Cross & Blue Shield.
* **Dental Benefits:** A best in class Dental Insurance Plan through Delta Dental.
* **Vision Benefits:** An excellent Vision Benefit providing discounts and allowances for prescription glasses and contact lenses.
* **Retirement Benefits:** A qualified 401(k) Retirement Savings Account with a generous employer matching contribution up to 8% of your eligible compensation.
* **Life Insurance Benefits:** Employer paid Life and Accidental Death & Dismemberment Insurance equal to your annual salary. Supplemental coverage is available for you and qualified family members as well as Supplemental Short-Term and Long-Term Disability Insurance.
* **Additional Benefits:** Ten (10) Paid Holidays per year (including 2 floating Holidays), a generous Paid Time Off (PTO) program; Tuition Reimbursement, and Referral Bonuses.

**Undersea, on the surface, or in the air, SEACORP leverages its software and engineering expertise to deliver cutting edge warfare systems.**



SEACORP is a proud Equal Opportunity Employer and complies with all applicable federal, state and local fair employment practices laws. SEACORP strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), age, sexual orientation, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state or local law.

Advanced AI Full Stack Engineer

Accenture
Pittsburgh - PA - US
Salary: USD68,300 - USD220,400

Apply here: https://www.indeed.com/viewjob?jk=b2daeda2d0fd7d57

**We Are:**


We are at the forefront of a new era in enterprise AI — one that moves beyond isolated models and experiments toward fully governed, production-grade AI systems. Our Data & AI practice brings together more than 45,000 professionals dedicated to helping clients build, deploy, and operate AI at scale. We design and engineer the platforms, runtimes, and developer tooling that make autonomous AI agents a reliable reality for the world's largest organisations.

**You Are:**


As an Advanced AI Full Stack Engineer, you will design and build the foundational systems that power AI agent platforms — from agent orchestration runtimes and sandboxed execution environments to inference routing layers, SDK tooling, and developer-facing APIs. You are a software engineer first, with deep fluency in Python and Node.js, who thrives at the intersection of distributed systems, AI infrastructure, and developer experience. You will work across the full platform stack — from CLI tooling and event-streaming protocols to multi-tenant Kubernetes-based execution environments — shipping production systems that other engineers and AI agents depend on.

**The Work:**

**Platform & Runtime Engineering:**

* Design and build agent orchestration runtimes — stateful execution loops that coordinate tool discovery, model inference, approval gates, and context management.
* Implement sandboxed execution environments with declarative policy enforcement (network egress, filesystem, compute quotas) that isolate agent workloads at the infrastructure level.
* Develop pluggable provider interfaces so that sandbox backends (container-based or microVM-based) are swappable without changing agent code.

**SDK, API & Developer Tooling:**

* Build Python and Node.js/TypeScript SDKs and CLIs that give developers first-class interfaces for authoring, validating, and running AI agents locally and in enterprise environments.
* Design REST, gRPC, and event-streaming APIs (WebSocket, SSE) that serve as the communication backbone between agent runtimes, IDE integrations, and platform services.
* Implement framework adapters that normalize event streams from multiple AI frameworks into a unified platform event model, enabling consistent observability and governance regardless of the underlying agent framework.

**Inference Routing & Memory Systems:**

* Build and maintain intelligent inference routing layers that intercept model API calls and dispatch them to on-premise or cloud model endpoints based on data-sovereignty, cost, and capability policies.
* Engineer multi-tier memory architectures spanning in-process working memory, cross-session relational stores, vector databases for semantic retrieval, and version-controlled procedural pipelines — each backed by swappable provider interfaces.
* Implement ephemeral credential injection and RBAC-scoped data access so agents operate under least-privilege principles without long-lived secrets in agent code.

**Observability, Governance & CI/CD:**

* Instrument platform components with distributed tracing (OpenTelemetry), cost attribution, and P50/P95/P99 latency metrics exportable to standard observability backends.
* Build CI/CD governance tooling — static validation pipelines that enforce schema correctness, separation-of-duty rules, and regulatory constraints before agent packages are promoted to production registries.
* Implement human-in-the-loop approval gates and audit-trail mechanisms compatible with enterprise compliance requirements.

**Collaboration & Technical Leadership:**

* Work closely with cross-functional teams — AI researchers, product managers, security engineers, and enterprise architects — to align platform capabilities with real-world agent use cases.
* Provide technical guidance on platform architecture decisions, code reviews, and engineering best practices across the team.
* Communicate architectural trade-offs and platform roadmap decisions clearly to both technical and non-technical stakeholders.


Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

**This role requires working onsite in Mountain View, CA. Applicants must be local to Mountain View area or willing to relocate prior to joining.**




**Here's what you need**

* Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or a related field.
* Minimum of 2 years of experience with Python and/or Node.js/TypeScript building production backend services or platform tooling.
* Minimum of 1 year of experience building or integrating with AI/LLM systems, agent frameworks, or AI developer tooling.

**Bonus point is you have**

* 4+ years of experience with Python and Node.js/TypeScript, with a strong track record of building and shipping developer-facing platforms, SDKs, or APIs.
* 2+ years of experience in one or more of: agent orchestration frameworks, inference serving infrastructure, sandboxed execution environments, or multi-tenant platform engineering.
* Hands-on experience with async Python frameworks (FastAPI, asyncio), containerisation and Kubernetes, event-streaming protocols (WebSocket, SSE, gRPC), and vector/relational databases.
* Familiarity with AI agent protocols (MCP, ACP, A2A), OpenTelemetry instrumentation, and modern AI framework ecosystems (LangGraph, OpenAI Agents SDK, Anthropic Claude SDK).
* Master's or PhD in Computer Science, Computer Engineering, or a related field is a plus but not required.



Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 06/30/2026.



Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:


U.S. Employee Benefits | Accenture



Role Location Annual Salary Range

California $73,800 to $220,400

Cleveland $68,300 to $176,300

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Maryland $73,800 to $190,400

Massachusetts $73,800 to $202,700

Minnesota $73,800 to $190,400

New York $68,300 to $220,400

New Jersey $78,500 to $220,400

Washington $80,200 to $202,700

**#LI-NA-FY25**

**Requesting an Accommodation**


Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.


If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

**Equal Employment Opportunity Statement**


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.


For details, view a copy of the Accenture Equal Opportunity Statement


Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.


Accenture is committed to providing veteran employment opportunities to our service men and women.

**Other Employment Statements**


Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.


Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.


Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.


The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.


California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.


Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Advanced AI Full Stack Engineer

Accenture
Philadelphia - PA - US
Salary: USD68,300 - USD220,400

Apply here: https://www.indeed.com/viewjob?jk=0a25c5c40c044858

**We Are:**


We are at the forefront of a new era in enterprise AI — one that moves beyond isolated models and experiments toward fully governed, production-grade AI systems. Our Data & AI practice brings together more than 45,000 professionals dedicated to helping clients build, deploy, and operate AI at scale. We design and engineer the platforms, runtimes, and developer tooling that make autonomous AI agents a reliable reality for the world's largest organisations.

**You Are:**


As an Advanced AI Full Stack Engineer, you will design and build the foundational systems that power AI agent platforms — from agent orchestration runtimes and sandboxed execution environments to inference routing layers, SDK tooling, and developer-facing APIs. You are a software engineer first, with deep fluency in Python and Node.js, who thrives at the intersection of distributed systems, AI infrastructure, and developer experience. You will work across the full platform stack — from CLI tooling and event-streaming protocols to multi-tenant Kubernetes-based execution environments — shipping production systems that other engineers and AI agents depend on.

**The Work:**

**Platform & Runtime Engineering:**

* Design and build agent orchestration runtimes — stateful execution loops that coordinate tool discovery, model inference, approval gates, and context management.
* Implement sandboxed execution environments with declarative policy enforcement (network egress, filesystem, compute quotas) that isolate agent workloads at the infrastructure level.
* Develop pluggable provider interfaces so that sandbox backends (container-based or microVM-based) are swappable without changing agent code.

**SDK, API & Developer Tooling:**

* Build Python and Node.js/TypeScript SDKs and CLIs that give developers first-class interfaces for authoring, validating, and running AI agents locally and in enterprise environments.
* Design REST, gRPC, and event-streaming APIs (WebSocket, SSE) that serve as the communication backbone between agent runtimes, IDE integrations, and platform services.
* Implement framework adapters that normalize event streams from multiple AI frameworks into a unified platform event model, enabling consistent observability and governance regardless of the underlying agent framework.

**Inference Routing & Memory Systems:**

* Build and maintain intelligent inference routing layers that intercept model API calls and dispatch them to on-premise or cloud model endpoints based on data-sovereignty, cost, and capability policies.
* Engineer multi-tier memory architectures spanning in-process working memory, cross-session relational stores, vector databases for semantic retrieval, and version-controlled procedural pipelines — each backed by swappable provider interfaces.
* Implement ephemeral credential injection and RBAC-scoped data access so agents operate under least-privilege principles without long-lived secrets in agent code.

**Observability, Governance & CI/CD:**

* Instrument platform components with distributed tracing (OpenTelemetry), cost attribution, and P50/P95/P99 latency metrics exportable to standard observability backends.
* Build CI/CD governance tooling — static validation pipelines that enforce schema correctness, separation-of-duty rules, and regulatory constraints before agent packages are promoted to production registries.
* Implement human-in-the-loop approval gates and audit-trail mechanisms compatible with enterprise compliance requirements.

**Collaboration & Technical Leadership:**

* Work closely with cross-functional teams — AI researchers, product managers, security engineers, and enterprise architects — to align platform capabilities with real-world agent use cases.
* Provide technical guidance on platform architecture decisions, code reviews, and engineering best practices across the team.
* Communicate architectural trade-offs and platform roadmap decisions clearly to both technical and non-technical stakeholders.


Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

**This role requires working onsite in Mountain View, CA. Applicants must be local to Mountain View area or willing to relocate prior to joining.**




**Here's what you need**

* Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or a related field.
* Minimum of 2 years of experience with Python and/or Node.js/TypeScript building production backend services or platform tooling.
* Minimum of 1 year of experience building or integrating with AI/LLM systems, agent frameworks, or AI developer tooling.

**Bonus point is you have**

* 4+ years of experience with Python and Node.js/TypeScript, with a strong track record of building and shipping developer-facing platforms, SDKs, or APIs.
* 2+ years of experience in one or more of: agent orchestration frameworks, inference serving infrastructure, sandboxed execution environments, or multi-tenant platform engineering.
* Hands-on experience with async Python frameworks (FastAPI, asyncio), containerisation and Kubernetes, event-streaming protocols (WebSocket, SSE, gRPC), and vector/relational databases.
* Familiarity with AI agent protocols (MCP, ACP, A2A), OpenTelemetry instrumentation, and modern AI framework ecosystems (LangGraph, OpenAI Agents SDK, Anthropic Claude SDK).
* Master's or PhD in Computer Science, Computer Engineering, or a related field is a plus but not required.



Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 06/30/2026.



Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:


U.S. Employee Benefits | Accenture



Role Location Annual Salary Range

California $73,800 to $220,400

Cleveland $68,300 to $176,300

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Maryland $73,800 to $190,400

Massachusetts $73,800 to $202,700

Minnesota $73,800 to $190,400

New York $68,300 to $220,400

New Jersey $78,500 to $220,400

Washington $80,200 to $202,700

**#LI-NA-FY25**

**Requesting an Accommodation**


Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.


If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

**Equal Employment Opportunity Statement**


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.


For details, view a copy of the Accenture Equal Opportunity Statement


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Accenture is committed to providing veteran employment opportunities to our service men and women.

**Other Employment Statements**


Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.


Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.


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The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.


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Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Staff Software Development Engineer

CVS Health
Oklahoma City - OK - US
Salary: USD106,605 - USD284,280

Apply here: https://www.indeed.com/viewjob?jk=665f020f7c34f14f

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

**Position Summary:**


Join Fortune 7 CVS Health as a **Staff Software Engineer** to lead and advance our Site Reliability Engineering (SRE), AIOps, Observability, and Monitoring capabilities in the CVS Digital team. This role is critical in advancing intelligent, automated, and scalable reliability practices across our platforms. You will drive the evolution from traditional monitoring to **AI-driven operations (AIOps)** leveraging automation, machine learning, and advanced analytics to improve system resilience, reduce operational toil, and accelerate incident detection and resolution. As a technical leader, you will influence architecture, build platforms, and mentor teams to embed reliability, observability, and automation into the software delivery lifecycle.

**Key Responsibilities:**

* **SRE Strategy & Reliability Engineering**
+ Define and implement enterprise-wide SRE practices, including SLIs, SLOs, error budgets, and reliability governance.
+ Drive a culture of reliability, automation, and continuous improvement across engineering teams.
+ Establish metrics-driven approaches to measure system health, availability, and performance.
* **AIOps & Intelligent Operations**
+ Lead adoption of **AIOps solutions** to enable predictive monitoring, anomaly detection, and automated root cause analysis.
+ Integrate machine learning models and analytics into monitoring pipelines to proactively detect and prevent incidents.
+ Develop intelligent alerting systems to reduce noise and improve signal quality.
* **Observability & Monitoring Platforms**
+ Architect and build scalable observability frameworks covering metrics, logs, traces, and events.
+ Define standards for instrumentation, telemetry collection, and distributed tracing.
+ Enable real-time insights into system performance across microservices and cloud-native architectures.
* **Incident Management & Automation**
+ Lead incident response practices, including on-call readiness, RCA, postmortems, and continuous learning loops.
+ Build self-healing systems and automate remediation workflows to reduce Mean Time to Resolution (MTTR).
+ Implement runbooks, playbooks, and automated escalations.
* **Platform Engineering & Tooling**
+ Develop internal platforms and tools for observability, monitoring, and performance optimization.
+ Integrate observability into CI/CD pipelines to enable proactive quality and reliability checks.
+ Drive infrastructure automation using IaaC frameworks and GitOps principles.
* **Collaboration & Technical Leadership**
+ Partner with engineering, platform, and product teams to embed reliability and observability into system design.
+ Mentor engineers and lead design reviews focused on scalability, resilience, and operability.
+ Influence enterprise architecture decisions and promote best practices across teams.

**Required Qualifications:**

* 5+ years of experience in software engineering, SRE, or production engineering in large-scale distributed systems.
* Hands-on experience with Observability tools such as AppDynamics, Grafana, Prometheus, Datadog, OpenTelemetry, or similar.
* Experience with AIOps or intelligent monitoring platforms, including anomaly detection and event correlation.
* Strong expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native architectures (Kubernetes, containers, microservices).
* Proficiency in at least one programming language (e.g., Python, Java, Go).
* Strong understanding of distributed systems, resiliency patterns, and fault tolerance.
* Experience implementing incident management, on-call processes, and root cause analysis.
* Hands-on expertise with Infrastructure as Code (Terraform, ARM, CloudFormation) and CI/CD pipelines.
* Experience using GenAI/Automation tools and frameworks such as OpenAI, CoPilot, Gemini, Claude, MCP etc.
* Proven ability to design scalable, reliable, and observable systems.

**Preferred Qualifications:**

* Experience designing and implementing AIOps platforms or predictive reliability systems at scale.
* Strong knowledge of machine learning applications in IT operations (e.g., anomaly detection, forecasting, clustering).
* Experience defining and managing SLIs/SLOs and error budgets at scale.
* Experience with OpenTelemetry and modern observability standards.
* Familiarity with chaos engineering, resilience testing, and fault injection frameworks.
* Exposure to GenAI-driven operations or AI-assisted troubleshooting tools.
* Experience in healthcare, finance, enterprise SaaS, or highly regulated industries.
* Demonstrated leadership in driving cross-functional initiatives and influencing senior stakeholders.
* Contributions to open-source projects in SRE, observability, or AIOps domains.

**Education:**

* Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or related discipline.
* Certifications in AIOps, SRE, OpenTelemetry, cloud platforms, or DevOps are a plus.

**Leadership Competencies:**

* Strategic thinking and execution excellence
* Strong communication and stakeholder influence
* Data-driven decision making
* Continuous improvement mindset

**Pay Range**


The typical pay range for this role is:


$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.



Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**


We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.



This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.



We anticipate the application window for this opening will close on: 07/20/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.