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Director Remote Government Software Engineering Jobs in Riverside, CA

Mid Level Software Engineer

Irvine, CA ยท Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

This is a hybrid/remote position based in Claremont, CA. Youll work alongside a collaborative product and engineering team to: * Architect and develop new systems that expand FFR into new industries

- Managing Director (Remote)Position Overview We are seeking an experienced and strategic Managing ... Bachelor's degree in Business Administration, Management, Finance, Engineering, or a related ...

SDET, Remote opportunity

Irvine, CA ยท On-site +1

$130K - $145K/yr

... Test Engineering Position: Senior SDET Location: Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our client is one of the leading mortgage technology ...

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Showing results 1-20

Director Remote Government Software Engineering information

See Riverside, CA salary details

$145K

$265K

How much do director remote government software engineering jobs pay per year?

As of Aug 3, 2026, the average yearly pay for director remote government software engineering in Riverside, CA is $254,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $263,900.00 and $263,900.00 per year, depending on experience, location, and employer.

What is the difference between Director Remote Government Software Engineering vs Government Software Engineer?

AspectDirector Remote Government Software EngineeringGovernment Software Engineer
CredentialsBachelor's/Master's in Computer Science, leadership experienceBachelor's in Computer Science or related field, coding skills
Work EnvironmentRemote leadership role overseeing teamsOn-site or remote coding and development
Employer & IndustryGovernment agencies, tech contractorsGovernment agencies, public sector IT teams
Search & Comparison IntentLeadership, management, remote software rolesTechnical, coding, development roles

The main difference is that the Director Remote Government Software Engineering focuses on leading teams remotely, managing projects, and strategic planning, while the Government Software Engineer is primarily involved in coding and technical development within government IT projects. Both roles require technical skills, but the director position emphasizes leadership and remote work management.

What are popular job titles related to Director Remote Government Software Engineering jobs in Riverside, CA? For Director Remote Government Software Engineering jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Director Remote Government Software Engineering jobs? Cities near Riverside, CA with the most Director Remote Government Software Engineering job openings:
Infographic showing various Director Remote Government Software Engineering job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $254,471 per year, or $122.3 per hour.

Sr. Software Engineer - Engineering Enablement

NextDeavor Inc.

Irvine, CA โ€ข Remote

$150K - $190K/yr

Contractor

Posted 9 days ago


Job description

Sr. Software Engineer - Engineering Enablement
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Sr. Software Engineer - Engineering Enablement

You will own and evolve critical developer platform components that accelerate R&D productivity and AI-native development across the organization. In this senior individual-contributor role you will deliver production features, partner directly with engineering teams, and measure impact through adoption and productivity metrics. Remote.

Here's How You'll Make an Impact on the Team
  • Own features and infrastructure end-to-end: design, implementation, testing, and production release with limited guidance
  • Design and maintain shared CI/CD pipeline abstractions, templates, and reusable jobs used across multiple teams
  • Build and operate AI tooling and MCP server infrastructure, including agent orchestration, scheduling, observability, cost controls, and security boundaries
  • Own sandbox environment infrastructure: container orchestration, provisioning, lifecycle management, networking, and data isolation guardrails
  • Drive adoption through documentation, onboarding programs, office hours, and direct team engagement
  • Resolve systemic reliability issues (flaky tests, slow builds, caching inefficiencies) and partner with teams during migrations
  • Instrument platform usage and productivity (DORA metrics, adoption rates, time-to-productivity) to demonstrate impact
  • Participate in design discussions, code reviews, and mentor other engineers
Here's What You'll Need to Be Successful in This Role
  • 5+ years of professional software engineering experience delivering production features and infrastructure
  • Hands-on experience building and maintaining CI/CD systems at org scale (preferably GitLab CI and/or Jenkins)
  • Experience building developer-facing tooling or platform services relied on by other engineers
  • Hands-on experience with LLM developer tooling, MCP, agent orchestration, or AI harnesses
  • Deep proficiency in Python or TypeScript with production experience
  • Proficiency with Kubernetes and Helm at production scale on AWS or Azure
  • Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
  • Proficiency with Git, Docker, automated testing, and modern scripting; active daily use of AI-assisted development tools
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
Here's What Else Might Help You Out
  • Prior Engineering Enablement, Platform Engineering, or Developer Productivity role with measurable developer velocity outcomes
  • Experience building MCP servers or tool-integration layers for LLM systems
  • Experience operating infrastructure for autonomous AI agents (sandboxed execution, scheduling, observability, cost management)
  • Familiarity with DORA metrics and developer productivity instrumentation
  • Experience with JFrog Artifactory, Nexus, or equivalent artifact management systems
  • Prior experience in financial services, fintech, or regulated environments; exposure to SOC 2 or similar compliance from an engineering perspective
Pay Range

$150K - $190K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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