Technical leader building scalable developer experience tooling and release pipelines to enable fast, high-quality software delivery. Requires 7+ years software engineering experience with expertise in Docker, Kubernetes, and web frameworks like Node or Python.
176k – 265k/yr
Remote7+ YOEDevOps / SRE
About the role
Responsibilities
Build and implement tooling for efficient, frictionless development, testing, and packaging for production release.
Lead the design and development of release tooling that enables code changes to reach production within 10 minutes.
Iterate on developer experience improvements using qualitative and quantitative feedback.
Implement feedback loops that integrate quality into software development workflows.
Champion effective engineering and operational patterns across the Engineering org.
Collaborate with cross-functional teams to address challenges in engineering workflows that impact developer happiness and productivity.
Work closely with product managers, designers, and peers in engineering to make Benchling a delightful place to develop software.
Help rapidly scale our product and team by maturing tooling, best practices, engineering processes, and hiring.
Qualifications
7+ years of experience in software engineering.
5+ years of experience with containerized applications (Docker, Kubernetes, etc.) in production.
Build software with a product-first approach; ship code quickly and care about real-world impact.
Expertise with at least one web framework, preferably Node or Python.
Strong abilities in problem solving and iterating on feedback.
Enjoy ownership and building key pieces of product.
Have empathy for customers and curiosity about their challenges.
Interested in learning more about life science (prior knowledge not required).
Clear and effective communicator, especially in cross-functional settings.
Leads end-to-end development of scalable distributed systems for infrastructure observability, owns production issues, and collaborates on designs. Requires expertise in Go, Kubernetes, SQL, cloud providers, and observability tools like Clickhouse and Prometheus.
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