2

Remote Backend Developer Internship Jobs in California

Engineer II, Backend APIs

Los Angeles, CA · On-site +1

$125K - $135K/yr

Engineer II, Backend APIs Reporting & Insights team Los Angeles, CA Broomfield, CO Hybrid Schedule (M/F remote, T/W/TH in-office) West Coast - Remote At Magnite, we cultivate an environment of ...

L'opportunite Unity recherche un Staff Backend Developer pour rejoindre notre equipe Unity Ads, ou ... Solides competences en collaboration et en communication au sein d'une equipe remote-first Vous ...

Senior Backend Engineer

Palo Alto, CA · Remote

$150K - $180K/yr

About the role The Senior Backend Engineer role gives the successful candidate the opportunity to ... Remote Access Named in Forrester research on Operation Technology Security Solutions, and ...

Senior, Software Engineer (Backend Java)

Sunnyvale, CA · On-site +1

$141K - $183K/yr

This is a full-time onsite role based in Sunnyvale, CA; remote and hybrid options are not available ... What You'll Bring: * 6+ years of experience in backend engineering platform development. * 4+ years ...

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

... and DevOps to design, build, and operate cloud-based services. This is a Remote role. Here's How ... Develop backend and frontend functionality using modern engineering practices * Contribute to CI/CD ...

Senior Backend Engineer (Node.js / AWS) Location: Oakland, CA (Remote) | Open to CA, OR, WA Company: Fictiv Build the Future of Manufacturing Manufacturing is a $13 trillion industry-but much of it ...

You'd be joining a small but vibrant product team of mobile, web, and backend developers in a ... Collaborate with our local and remote developer team * Help document our app * Perform routine ...

Showing results 41-60

Remote Backend Developer Internship information

What is the difference between Remote Backend Developer Internship vs Remote Software Engineer Internship?

AspectRemote Backend Developer InternshipRemote Software Engineer Internship
Required CredentialsBasic programming skills, coursework in backend development, some internshipsSimilar, often includes broader software development knowledge
Work EnvironmentRemote, collaborative teams, tech companies, startupsRemote, diverse industries, tech firms, startups
Employer & Industry UsageTech companies, startups focusing on backend systemsTech companies, startups, broader software projects
Search & Comparison IntentPeople interested in backend-specific roles, internshipsPeople exploring software engineering internships broadly

The Remote Backend Developer Internship focuses specifically on backend technologies like databases, server-side logic, and APIs, while the Remote Software Engineer Internship covers a broader range of software development tasks. Both roles are remote, often in tech companies or startups, and require foundational programming skills. The main difference lies in specialization: backend development versus general software engineering.

What are the most commonly searched types of Remote Backend Developer jobs in California?

The most popular types of Remote Backend Developer jobs in California are:

What job categories do people searching Remote Backend Developer Internship jobs in California look for?

The top searched job categories for Remote Backend Developer Internship jobs in California are:

What cities in California are hiring for Remote Backend Developer Internship jobs?

Cities in California with the most Remote Backend Developer Internship job openings:

Senior Forward Deployed Engineer (Backend)

Postman

San Francisco, CA • Remote

$220K - $240K/yr

Full-time

Re-posted 16 days ago


Job description

The Opportunity

The Forward Deployed Engineering (FDE) team tackles some of Postman's most strategic technical challenges. We partner directly with enterprise customers to solve problems that don't fit neatly into existing product boundaries, building production-grade solutions that often become core product capabilities.

As a Sr. Forward Deployed Engineer, you'll operate at the intersection of engineering, product, and customer success. You'll deploy Postman's critical infrastructure into customer environments, solve complex distributed systems challenges, and build the enterprise foundations that enable customers to safely adopt AI at scale.

This isn't consulting or professional services. You're an engineer building production systems alongside customers, turning real-world deployments into durable platform capabilities used by thousands of organizations.  This team will build 0-to-1 products from scratch - innovative, strategic initiatives designed to unlock hundreds of millions of dollars in new revenue. 

If you enjoy difficult engineering problems, working directly with customers, and building products from the field, you'll thrive here.  

What You'll Do
  • Customize and deploy Postman's data-path components into customer environments and make them run reliably: deployment, hardening, and the field engineering required to operate on infrastructure we don't control.
  • Engineer for performance, availability, and fault tolerance where it's hardest: live traffic on the critical path, running in environments we don't control. Hold the line on latency and reliability under real customer load.
  • Build the IT controls and enablement that unlock Applied AI for our customers: the identity, policy, governance, and observability that let an enterprise safely run AI agents against their APIs. This is the layer that turns "interesting AI demo" into "AI in production" inside a regulated enterprise.
  • Turn field experience into a product. Take what you learn in real customer deployments and feed it back to core engineering, hardening one-off solutions into durable product capabilities.
  • Set the engineering bar for FDE's data-path work in the field, mentor engineers, and help grow the team as the surface expands.
About You

You are an experienced backend or distributed systems engineer who enjoys solving difficult technical problems while working directly with customers.

You likely have:

  • 5+ years of backend or systems engineering experience, with proven end-to-end ownership of large-scale distributed systems.
  • Experience building high-throughput, low-latency backend services, with strong command of concurrency, performance tuning, fault tolerance, and high availability.
  • Expert-level engineering in a backend or systems language such as Go, Python, Java, Rust, or C++, on Linux, with strong debugging skills in complex production codebases.
  • A track record as a technical lead or architect on a significant backend system, setting technical direction and raising the quality bar across a team.
  • Comfort with ownership and ambiguity: able to work autonomously in a small team, make decisions independently, and drive high-stakes projects to completion in the field.
  • A builder's interest in enterprise IT controls and enablement (identity, authorization, policy, governance, observability) as the foundation that lets customers adopt Applied AI safely.
  • Strong communication and a genuine willingness to engage directly with customers and field teams.
Nice to Have

We're especially excited if you have experience with:

  • Experience with software deployed and operated in customer environments (on-prem, appliance, agent, or self-hosted), including install, upgrade, and remote diagnosis.
  • Familiarity with identity and authorization (OAuth2, OIDC, SCIM), API gateways, or policy enforcement systems.
  • Familiarity with the agentic AI stack: LLM-based agents, MCP, evaluation frameworks, or agent orchestration.
  • Experience building observability into products deployed across many heterogeneous customer environments.
Why You'll Love This Role
  • Solve technically challenging distributed systems problems with real customer impact.
  • Work directly with some of the world's largest enterprises as they modernize their API and AI infrastructure.
  • Influence Postman's product roadmap by transforming customer problems into platform capabilities.
  • Help define and build a growing Forward Deployed Engineering organization from the ground up.
  • Build the infrastructure that enables enterprises to safely deploy AI at production scale.

The reasonably estimated base salary for this role ranges from $220,000 to $240,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.