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Home›Jobs›Luminai›Staff Software Engineer, Platform
Luminai

About Luminai

Transforming internal workflows for operational excellence

🏢 Tech👥 21-100 employees📅 Founded 2019📍 North Central, San Mateo, CA
B2BSaaSAutomation

Key Highlights

  • Founded in 2020 by Y Combinator graduates
  • Series A funding secured for growth initiatives
  • Trusted by clients like Carta, Oura, and Strava
  • Headquartered in San Mateo, CA

Luminai, founded in 2020 by Y Combinator graduates, specializes in internal workflow automation technology that streamlines operations for sales and customer service teams. Based in San Mateo, CA, Luminai has raised Series A funding and is trusted by notable clients such as Carta, Oura, and Strava, ...

🎁 Benefits

Luminai offers competitive equity options, flexible PTO policies, and a remote-friendly work environment to support work-life balance....

🌟 Culture

Luminai fosters a culture focused on innovation and efficiency, encouraging employees to contribute ideas that enhance product capabilities and improv...

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Luminai

Staff Software Engineer, Platform

Luminai • Remote

Posted 7 months ago🏠 RemoteLeadSoftware engineering
Apply Now →

Job Description

About Luminai

Nearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things.

At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal.


We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and 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 including 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 might work on

  • 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

Requirements

  • 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

Interested in this role?

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