The job, in the employer's words
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processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.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, 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
Requirements mentioned
- 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
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