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Open nowPosted 61 days ago

Staff Software Engineer, Platform

Luminai17 open roles

Pay
$220,000 – $250,000 a year
Where
SF Bay Area
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Your applicationOpen nowStaff Software Engineer, PlatformLuminai · SF Bay Area
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Luminai postings stay open a median of 4 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 61 days ago

Luminai median: 4 days open

The posting

ABOUT LUMINAI

Healthcare operations have always depended on people to bridge the gaps that technology couldn't. It relies on complex manual work to carry out critical internal processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.

Luminai structures the chaos, automates the manual handoffs, and deploys end-to-end workflows across every system, providing the integrated intelligence layer to improve processes over time. By delegating to autonomous AI systems those mission-critical workflows that previously expended valuable human time, Luminai allows doctors and administrators to do what they do best: Focus on Patients.

We've raised $60M in funding, including our recent Series B led by Peak XV Partners (formerly Sequoia India), with participation from healthcare-focused Define Ventures and continued support from General Catalyst and Y Combinator. We're backed by some of the best investors in Silicon Valley, including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter), and CEOs of companies such as Flexport, Notion, Front, Ramp, and Twitch.

Our team is in-office 4 days a week (Monday - Friday, Wednesday optional WFH) in either San Francisco, California or New York, New York.

ABOUT THE ROLE

As a Staff Software Engineer working on Platform, you will play a foundational role in designing, implementing and spearheading the core platform development. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. As a senior member of the engineering team, you are expected to have a strong proficiency in fundamentals of software engineering and exceptional ability to drive technical projects in ambitious technical environments. You will help define, architect and improve key system foundations that allows the overall engineering team to execute effectively and deliver a stellar platform experience for users within a high growth team.

What You'll Do

- Design and maintain the core frameworks, libraries, and shared packages that product engineers and FDEs build on every day

- Own developer experience end to end, including local dev environments, build systems, CI/CD, test infrastructure, and time-to-first-commit for new hires

- Build and maintain the tooling that keeps quality high without slowing anyone down: linters, formatters, static analysis, codegen, and automated checks

- Find and remove the bottlenecks in how we ship, then re-architect foundational abstractions to hold up as the team and the product scale

- Lead core technical initiatives that set the quality bar in the codebase

- Define and scale experimentation, monitoring, reliability, and observability for production systems

- Set sane defaults for how the platform handles access control, secrets management, and authentication, so the systems others build on are safe without extra effort

What We're Looking For

- 8+ years as a software engineer, including zero to one projects you drove from scratch

- Track record of shipping high-quality code on hard problems

- Experience building internal frameworks, libraries, or developer tooling that other engineers depended on, and a real interest in making them better

- Direct experience designing high performance backend systems in production, with judgment about the architectural trade-offs involved

- Working familiarity with a modern infrastructure stack (Kafka, Kubernetes, or similar)

- Solid grasp of security fundamentals for backend and cloud systems (authN/authZ, secrets management, encryption)

Bonus

- Familiarity with frontend foundations (JS toolchain, bundlers, build systems). Not required, but useful for platform work that reaches into the client

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