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Remote Computer Science Opt Jobs in Rancho Santa Margarita, CA

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... Work experience in a quantitative field like mathematics, statistics, computer science, economics ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related ...

Showing results 21-40

Remote Computer Science Opt information

See Rancho Santa Margarita, CA salary details

$90.4K

$111K

$146.7K

How much do remote computer science opt jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote computer science opt in Rancho Santa Margarita, CA is $110,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $124,500.00 per year, depending on experience, location, and employer.

What is a remote computer science OPT?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.

How do remote computer science OPT professionals typically collaborate with their teams to ensure project success?

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.

What are the key skills and qualifications needed to thrive as a remote computer science OPT, and why are they important?

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

What job categories do people searching Remote Computer Science Opt jobs in Rancho Santa Margarita, CA look for?

The top searched job categories for Remote Computer Science Opt jobs in Rancho Santa Margarita, CA are:

What cities near Rancho Santa Margarita, CA are hiring for Remote Computer Science Opt jobs?

Cities near Rancho Santa Margarita, CA with the most Remote Computer Science Opt job openings:

Sr. Software Engineer - Engineering Enablement

NextDeavor Inc.

Irvine, CA • Remote

$150K - $190K/yr

Contractor

Re-posted 17 hours 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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