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Docker

Staff Backend Engineer (Hub)

Posted Updated
Discussion
  • We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems
  • You will own systems end-to-end—from schema design and API architecture to deployment, observability, and operational excellence
  • The work is highly dynamic, and you will operate in a fast-paced environment where we continuously evolve the platform to support enormous growth in traffic, data, and global usage
  • You’ll collaborate across engineering, SRE, Product, and Design while acting as a technical leader who simplifies complexity, elevates engineering quality, and improves a globally critical developer platform
  • Architect, build, and operate high-scale distributed systems powering Docker Hub’s registry platform—spanning artifact storage, metadata services, indexing workflows, and performance-critical APIs
  • Lead the design and implementation of backend services with a strong emphasis on scalability, correctness, resilience, and performance
  • Drive major initiatives around multi-region replication, caching strategies, request-path optimization, and core registry reliability
  • Design, optimize, operate the data and storage layers - for both Relational and NoSql as well as object storage and related technologies
  • Develop schemas and data models to support high-throughput, large-volume workloads
  • Own systems end-to-end—from storage-layer behavior to API design, deployment workflows, and production monitoring
  • Improve the performance and reliability of one of the world’s largest repositories of container images
  • Develop and enhance observability through metrics, traces, alerting, and dashboards
  • Lead improvements to deployment and operational tooling (e.g., Argo CD, GitHub Actions)
  • Participate in on-call rotations as part of supporting critical production services
  • Mentor engineers and lead design and architecture reviews
  • Partner with Product, Design, SRE, and Platform teams to deliver high-impact projects
  • Engage with open-source communities, cloud-native partners, and the broader ecosystem
  • This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed

Benefits

  • 100% company paid medical premiums for employees and dependents
  • Flexible Time Off Policy
  • Employer Paid Holidays
  • Generous Parental Leave (after 6 months of employment)
  • Home Office Set Up Budget
  • Monthly Technology Stipend
  • Training Allowances
  • Life and Disability Insurance
  • Retirement Plans
  • Virtual and In-Person Social Events
  • Docker Swag
  • Quarterly Hackathons
  • If you’re passionate about building and operating massive-scale distributed systems with huge data and throughput demands, this role is for you
  • Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Comfortable functioning autonomously in a fully distributed, remote-first team and working effectively in a fast-paced environment
  • Experience building and operating cloud-based services (AWS preferred)
  • Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability
  • Strong production experience with Kubernetes, including operating services at scale
  • Strong production experience with Golang, including designing and operating large Go-based services in cloud environments
  • Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent
  • Familiarity with search/indexing systems or metadata-rich architectures
  • Experience with OCI registries, artifact stores, or large-scale content distribution systems
  • Contributions to cloud-native or open-source ecosystems
  • 8+ years backend engineering experience with deep expertise in distributed systems and large-scale backend architectures
  • An engineer with deep experience in distributed systems and large-scale storage
  • Someone who thrives in a fast-paced environment and consistently optimizes for reliability, automation, and performance
  • A technical leader who takes ownership of complex systems and drives long-term architectural direction
  • An engineer energised by the challenges of operating a global developer platform at massive scale
  • Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent

Skills

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See also

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