Lead the development of complex, high-impact features within a Node.js/TypeScript and React ecosystem.
Develop and maintain serverless and event-driven data pipelines capable of handling high-volume scientific data.
Write clean, maintainable, and well-tested code. You will proactively identify technical debt and advocate for architectural improvements.
Partner closely with other team members to build intuitive user interfaces that simplify complex scientific research.
Provide technical guidance through thoughtful code reviews and pair programming, fostering a culture of continuous learning.
Support the reliability of our services by implementing observability and participating in the deployment and monitoring of your code in production.

Requirements

8+ years experience in engineering preferably in a SaaS environment
Expert-level proficiency with Node.js and React
Proven experience building and consuming RESTful APIs and working with PostgreSQL
Hands-on experience with AWS services and a solid understanding of Docker/Kubernetes
Experience working with message-based architectures (e.g., Kafka) and event-driven patterns
Strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools like GitHub Actions or AWS CodePipeline
Proficiency in Agile methodologies and a track record of delivering value in iterative cycles

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Node.jsTypeScriptReactRESTful APIsPostgreSQLAWSDockerKubernetesKafkaautomated testing

Soft Skills

technical guidancecode reviewspair programmingcontinuous learningcollaboration