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Federal Government Software Engineer Jobs in California

Nava

Software Engineer

San Francisco, CA · On-site

This is a great opportunity for engineers who enjoy software archaeology. If you care deeply about ... Note that we participate in E-Verify and upon hire, will provide the federal government with your ...

Nava

Software Engineer

San Francisco, CA

This is a great opportunity for engineers who enjoy software archaeology. If you care deeply about ... Note that we participate in E-Verify and upon hire, will provide the federal government with your ...

Accenture Federal Services

Software Engineer

San Diego, CA · On-site

$109K - $131K/yr

At Accenture Federal Services, nothing matters more than helping the US federal government make the ... Overview We are seeking a motivated Junior to Mid‑Level Software Engineer with a strong ...

Accenture Federal Services

Software Engineer

San Diego, CA · On-site

$109K - $131K/yr

At Accenture Federal Services, nothing matters more than helping the US federal government make the ... Overview We are seeking a motivated Junior to Mid-Level Software Engineer with a strong foundation ...

TEKsystems

Software Engineer

Redondo Beach, CA

$45 - $75/hr

Description One of our federal government clients is looking to add to their team of Embedded Software Engineers based out of Manhattan Beach CA. The Software Engineer will develop software which ...

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All JobsFederal Government Software Engineer JobsFederal Government Software Engineer Jobs in California

Federal Government Software Engineer information

See California salary details

$62.7K

$145.6K

$202.8K

How much do federal government software engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for federal government software engineer in California is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

What is a federal government software engineer?

A Federal Government Software Engineer designs, develops, and maintains software systems for government agencies. They work on secure, scalable, and mission-critical applications that support public services, defense, cybersecurity, and other national priorities. These engineers follow strict security and compliance guidelines, often collaborating with other government and contractor teams. The role may require knowledge of specific programming languages, cloud computing, and cybersecurity best practices. Security clearances may also be necessary, depending on the agency and project.

What skills and qualifications are needed to be a federal government software engineer?

To thrive as a Federal Government Software Engineer, you need a strong background in computer science, programming languages (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with government-specific software systems, cloud platforms, cybersecurity standards (like FedRAMP or FISMA), and security clearances is often required. Excellent problem-solving, communication, and teamwork skills are crucial for collaborating with diverse stakeholders and managing complex projects. These abilities ensure the secure, reliable, and efficient development of software systems that support critical government operations.

What do federal government software engineers do?

As a Federal Government Software Engineer, you may work on projects ranging from developing secure web applications and data management systems to maintaining legacy platforms or implementing new cloud solutions. Your responsibilities often include coding, system integration, collaborating with cross-functional teams, and ensuring compliance with federal cybersecurity guidelines. You might also participate in requirements analysis, testing, and deploying software solutions that serve the needs of both internal users and the public. The work environment is typically collaborative, structured, and mission-driven, with opportunities to contribute to impactful, large-scale initiatives.

What are the most commonly searched types of Federal Government Software Engineer jobs in California? The most popular types of Federal Government Software Engineer jobs in California are:
What are popular job titles related to Federal Government Software Engineer jobs in California? For Federal Government Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Federal Government Software Engineer jobs in California look for? The top searched job categories for Federal Government Software Engineer jobs in California are:
What cities in California are hiring for Federal Government Software Engineer jobs? Cities in California with the most Federal Government Software Engineer job openings:
Federal Government Software Engineer jobs near you
Infographic showing various Federal Government Software Engineer job openings in California as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA • Remote

$123K - $169K/yr

Full-time, Contractor

Re-posted 16 days ago

Job description

No subs- No sponsorship

Remote

AI Engineer (Mid–Senior)

United Global Technologies (UGT) | Remote (U.S.), | Full-time

UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed — and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio.

WHAT YOU'LL DO

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Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.

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Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths.

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Architect scalable data pipelines — aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.

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Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages.

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Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.

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Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.

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Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).

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Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.

WHAT WE'RE LOOKING FOR (REQUIRED)

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5+ years of professional software / AI engineering experience, with a strong Python foundation.

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Hands-on experience building LLM / RAG applications — retrieval, chunking strategies, prompt orchestration, and evaluation.

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Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.

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Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).

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Practical understanding of security and data governance, including handling of sensitive or controlled data.

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U.S. citizenship or permanent residency (supports a federal / DOE environment).

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Ability to provide consistent support during Pacific Time core business hours.

NICE TO HAVE (PREFERRED)

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Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.

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Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.

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Experience using Microsoft Copilot for enterprise RAG use cases.

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Experience integrating application and AI logging into a SIEM.

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Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.

EMPLOYMENT & ELIGIBILITY

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Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).

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Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.

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Must reliably support Pacific Time core business hours.

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U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).

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Government-furnished equipment provided for the engagement.

ABOUT UGT

United Global Technologies, Inc. (UGT) is a Charlotte, NC–based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.