Requirements

8+ years of software engineering experience with technical leadership on production systems at scale.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Deep experience designing, building, and operating production backend or platform systems.
Strong programming ability in at least one production language and ability to become effective in unfamiliar languages and codebases.
Experience with distributed systems, event-driven architectures, APIs, databases, and cloud-native infrastructure.
Proven record of leading complex cross-team or organizational initiatives.
Strong technical and product judgment, with ability to explain constraints, alternatives, and business trade-offs.
Experience influencing without authority and improving other engineers’ effectiveness.
Operational mindset focusing on observability, resilience, incident response, and on-call ownership.
Comfort with critical use of AI-assisted engineering tools while retaining ownership of outcomes.
Clear written and spoken communication for a remote, async-first environment.

Nice to Haves

Production experience with Go, Clojure, or both.
Experience with Spanner, Datomic, Kafka, or other distributed data and streaming platforms.
Experience with build systems, containers, artifact workflows, or developer tooling.
Experience evolving platform, database, or language strategy without disrupting product delivery.
Experience building security or software supply-chain products.

Setting technical direction for backend and developer-experience initiatives across multiple languages and systems.
Turning ambiguous product or platform problems into clear plans and measurable outcomes.
Designing, building, and operating distributed services, event pipelines, databases, and APIs with strong security and reliability.
Leading cross-team delivery, surfacing risks early, and removing blockers proactively.
Making pragmatic recommendations on retaining, evolving, or replacing system components including legacy dependencies.
Partnering with Product, Design, Security, and engineering teams to connect technical investments to outcomes.
Improving observability, incident readiness, performance, and service ownership.
Enhancing engineering leverage through automation and AI-assisted workflows with maintained human accountability.
Mentoring senior engineers, raising design and code review quality, and creating reusable patterns.
Remaining hands-on with implementation, debugging, and participating in on-call rotation.
Communicating decisions clearly in a remote and async-first environment.

Remote-first by design, with offices in Seattle and Paris for collaboration.
Flexible schedule trusted to fit your life and work style.
Generous PTO, quarterly Whaleness Days, and an end-of-year Whaleness break for recharging.
Home office support for a comfortable workspace.
Technology stipend equivalent to US$100 net per month.
Annual learning and development stipend for conferences, courses, and certifications.
16 weeks paid parental leave after six months of employment.
Equity for all full-time employees to share in Docker’s long-term success.
Comprehensive benefits including medical, retirement, and paid holidays varying by country.
Docker swag to represent the brand proudly.