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Principal Software Engineer - Platform

Job in Los Angeles, Los Angeles County, California, 90001, USA
Listing for: Arcadia
Full Time position
Listed on 2026-11-05
Job specializations:
  • Software Development
    DevOps, Software Engineer, Cloud Engineer - Software, Backend Developer
Salary/Wage Range or Industry Benchmark: 250000 - 350000 USD Yearly USD 250000.00 350000.00 YEAR
Job Description & How to Apply Below

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.

We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.

For more information, visit arcadia.io .

Why This Role Is Important to Arcadia

As our business grows, and as AI is improving, we need fewer, better building blocks: less per-team glue, more self-service capabilities every team builds on, so engineers spend their time on customers instead of plumbing. This is platform engineering  role could just as well be titled Developer Platform, Dev Ex, Dev Prod, or SRE.

Arcadia builds and operates the petabyte-size lakehouse, and the client-facing applications that run on Kubernetes. The role will span both, reporting directly to the engineering VP.

What Success Looks Like

Arcadia engineers and their agents rely on platform building blocks, from services and pipelines to databases, queues, and storage, that come wired in with logging, metrics, tracing, alerts, encryption, access controls, backups, and cost tags, with sensible defaults.

Teams change their own pipelines, environments, alerts, and SLOs. When something breaks, the owning team sees it first, traces it to the change that caused it, and rolls it back themselves. They see their own delivery numbers and cloud spend, and act on them. Platform upgrades reach them as a merged pull request, not a checklist. Engineers take the paved road because it's the fastest way to production, and platform engineers spend their time building capabilities, not working tickets.

What

You'll Be Doing
  • Push quality attributes into the platform, especially as AI increases the volume of changes: test and regression gates, progressive delivery and fast rollback, supply-chain and policy checks in the pipeline, and cost that's visible and attributable to the teams.
  • Run the platform as a curated internal product: find what slows teams down, pick the few capabilities worth building, publish the roadmap, and measure adoption, delivery speed, stability, and developer satisfaction.
  • Build software: self-service APIs, templates, and golden paths for CI/CD, environments, and observability, so teams get what they need without waiting on anyone. You write a meaningful share of the code.
  • Carry the cost of migrations: track usage, automate instead of handing out checklists, push through the final 20%, and sunset.
  • Manage the platform's stakeholders: say yes with compromises, say no without breaking trust, bring shadow platforms back onto the paved road, and make cost visible to the teams that generate it.
  • Set the technical direction and evolve the platform, and coach Senior Engineers through design partnership and review.
What You'll Bring
  • Both halves of platform engineering: a software engineer's instinct for clean abstractions and APIs, and a systems engineer's depth in cloud, Kubernetes, networking, and IaC.
  • Reliability you've owned: SLOs, observability, on-call, and incident response.
  • Customer empathy: you talk to the engineers you serve, tell a real need from a loud request, and retire what nobody uses.
  • Big, long-running projects you've seen through: migrations pushed past the final 20%, platforms sunset on purpose, and the attention to detail both require.
  • A clear philosophy on structuring infrastructure and delivery for security, velocity, and reliability, and the stories behind it.
  • Current, hands‑on production coding, the habit of figuring things out (research, spike, deliver), and relentless pragmatism…
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