Staff Software Engineer, Product

Luminai; San Mateo (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A technology firm in San Mateo is seeking a Staff Software Engineer to lead the core platform development for executable AI automations. The ideal candidate will have over 8 years of experience in software engineering, with a proven track record in high-performance systems and distributed environments. You will be responsible for architecting solutions and driving technical initiatives to enhance user experiences in a rapidly growing company. Join us to shape the future of healthcare technology.

Qualifications

• 8+ years of experience as a software engineer with a focus on complex projects.
• Track record of delivering high-quality code in production environments.
• Experience with modern infrastructure stacks.

Responsibilities

• Architect and maintain distributed computing environments.
• Simplify bottlenecks and re-architect system foundations.
• Drive core engineering improvements for user experience.

Skills

Software engineering fundamentals

Problem-solving

Distributed systems

High-performance systems

Monitoring and observability

Education

MS or PhD in CS or equivalent

Tools

Kafka

Kubernetes

Job description

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processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor‑intensive SOPs.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 significant amounts of capital from the best Silicon Valley VCs: General Catalyst, Peak XV (fka Sequoia India), YCombinator, as well as from investors 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.

About the Role

As a Staff Software Engineer, 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

• Languages and associated tooling (DSLs, parsers, compilers) for external and internal system abstractions
• Architecting and maintaining distributed computing environments.
• Simplify system bottlenecks and proactively re‑architect foundational abstractions to support scale
• Lead core technical initiatives setting high quality foundations in the codebase
• Define and scale experimentation, monitoring, reliability, and observability concepts for production systems
• Drive improvements to the core Luminai IDE to deliver a stellar experience for end users
• Help champion high performance engineering foundations and practices across the codebase

What We’re Looking For

• A minimum of 8+ years of experience as a software engineer, that involves spearheading zero to one engineering projects
• Proven track record of shipping high‑quality code in challenging projects
• Direct experience designing and implementing high‑performance systems in production, and an understanding of how to navigate key architectural trade‑offs
• Prior experience or working familiarity with modern infrastructure stack (Kafka, Kubernetes etc.)
• Knowledge of parallel computing concepts and distributed systems
• Exceptional problem‑solving skills and an ability to work across the stack

Bonus

• MS or PhD in CS from a top school or equivalent experience
• Knowledge or interest in compilers, interpreters and design of programming languages
• Prior experience managing (or otherwise leading) engineering teams