Principal Software Architect | Luma

Responsibilities

• Drive the end-to-end architecture of Luma from instrument connectivity and data ingestion through platform services and the AI agent experience.
• Design scalable and maintainable AWS solutions with data isolation and auditability for regulated scientific customers.
• Influence technology choices, architectural principles, frameworks, best practices, and engineering standards.
• Prototype and guide implementation of Luma components as a hands-on technical leader.
• Improve developer experience and software lifecycle quality through tools and pipelines.
• Advise on deploying Luma into customer clouds, including multi-tenant and regulated-environment requirements.
• Collaborate with Product Managers, architects, engineers, and customer cloud teams on strategic technology initiatives.
• Facilitate architecture reviews and documentation, mentor software engineers, and promote alignment across teams.
• Analyze and provide feedback on Luma product strategy.

Requirements

• BSc in Computer Science and 10+ years of equivalent experience.
• Deep expertise in engineering architecture, engineering design, and building, releasing, and maintaining complex scientific enterprise software platforms.
• Strong understanding of modern cloud software architecture, multi-tenant platforms, systems design, application development, and enterprise applications.
• Deep knowledge of AWS services and cloud-native infrastructure such as Kubernetes and Kafka.
• Technical knowledge of integration strategies, web services, APIs, cloud networking, software development lifecycle processes, and version control.
• Experience with infrastructure as code using CloudFormation or Terraform and containerization using Docker or Podman.
• Experience with CI/CD tools such as Jenkins, TeamCity, or CodePipeline.
• Backend development experience with JavaScript, Node.js, and Python.
• Experience setting up agentic harnesses for code generation.
• Experience with business requirements gathering, strategic planning, project planning and management, and engineering evaluation principles.
• Preferred experience with instrument integration and scientific data ingestion using SiLA or OPC-UA.
• Preferred experience with Apache Spark, Databricks, or comparable data platforms; securing AI-agent integrations; research informatics software; or Scala.

Benefits

• Medical, dental, vision, health spending accounts, wellness benefits, and company-paid life and disability insurance.
• 401(k) retirement plan with a 4% company match and immediate vesting.
• Flexible time-off plan for US exempt employees.
• Remote-friendly work environment.
• Base pay range of $173,400—$234,600 USD, with certain positions potentially eligible for variable pay.