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 Engineer – Full Stack, Node.js

Key skills