Staff Backend Engineer, Hub (US East Coast)
DockerUnited StatesPosted 23 February 2026
Job Description
At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride!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.If you’re passionate about building and operating massive-scale distributed systems with huge data and throughput demands, this role is for you.ResponsibilitiesDistributed Systems & Backend EngineeringArchitect, 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.Data Infrastructure & StorageDesign, 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.Operations, Observability & ScaleImprove 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.Leadership & CollaborationMentor 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.QualificationsRequired8+ years backend engineering experience with deep expertise in distributed systems and large-scale backend architectures.Strong production experience with Golang, including designing and operating large Go-based services in cloud environments.Strong production experience with Kubernetes, including operating services at scale.Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production.Experience building and operating cloud-based services (AWS preferred).Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent.Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability.Comfortable functioning autonomously in a fully distributed, remote-first team and working effectively in a fast-paced environment.Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experienceNice to HaveExperience with OCI registries, artifact stores, or large-scale content distribution systems.Familiarity with search/indexing systems or metadata-rich architectures.Contributions to cloud-native or op ... (truncated, view full listing at source)
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