Lead disciplined use of AI-assisted engineering and communicate decisions, risks and progress across UK and US working hours
Build relationships and understand both teams' products, customers, architecture, dependencies and operational profiles during the first 30 days
Establish a sustainable operating cadence, ownership and escalation paths, and material improvements during the first 90 days
Deliver predictable outcomes connecting secure build, Scout and Docker Hardened Images while reducing operational risk over one year
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years managing high-performing engineering teams, with meaningful responsibility across more than one team or distinct technical domain
8+ years of professional, hands-on software engineering experience in backend, infrastructure, platform or developer tooling
Experience leading, growing and retaining engineers at or above your own technical seniority, including teams you did not build and difficult performance conversations
Leader-first operating model, with current technical judgement to participate in design and review across unfamiliar systems
Experience prioritising across competing roadmaps, operational load and stakeholder commitments
Strong backend and distributed-systems judgement, including APIs, event-driven architectures, data stores, cloud-native infrastructure and production operations
Understanding of CI or build-system internals, containers and artefact workflows, plus interest in software supply-chain security and trust boundaries
Experience leading teams operating production infrastructure through on-call, incident response, observability, SLOs and reduction of recurring operational load
Strong product judgement and evidence of shaping roadmaps with Product
Clear written and verbal communication, cross-functional influence, customer closeness and comfort leading a remote-first organisation across European and US time zones
Experience with Go, Clojure or both, Kafka, Spanner, Datomic, OCI, BuildKit, Buildx, GitHub Actions, sandboxing, microVMs, untrusted workload execution, multi-tenant infrastructure, SLSA, in-toto, SBOMs, VEX, Sigstore, cosign, provenance, signing or vulnerability scanning is helpful but not required
Benefits
Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
Home office support – Set up your workspace for comfort and success.
Technology stipend – Equivalent to US$100 net per month to help support your work.
Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
Parental leave – 16 weeks of paid parental leave after six months of employment.
Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
Docker swag – Because representing the whale never gets old.
Visa sponsorship considered case-by-case based on business needs.
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