Define and drive system architecture for services within a Node.js/TypeScript ecosystem.
Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability.
Architect and implement serverless and event-driven data processing pipelines for high-volume scientific data.
Guarantee the scalability, maintainability, and security of software solutions.
Provide technical guidance to Software Engineers, conduct code reviews, and raise the bar for design, code quality, and operational excellence.
Help shape user interfaces that are intuitive and accelerate scientific research.
Collaborate with other teams to build scientific solutions on top of a best-in-class scientific data engine.

12+ years experience in engineering preferably in a SaaS environment
Strong engineering background with Node.js and React
Proven experience designing and implementing distributed, event-driven systems and high-level web applications.
Experience implementing automated testing platforms, unit tests, and integration tests.
Professional experience with PostgreSQL and building/consuming RESTful APIs.
Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads.
Proficiency with CI/CD tools such as GitHub Actions and AWS CodePipeline.
Knowledge of Agile software development practices.

Staff Data Engineer

Key skills