Original listing text, shown exactly as published by the company.
Responsibilities
Distributed Systems & Backend Engineering
- 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.
Data Infrastructure & Storage
- 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.
Operations, Observability & Scale
- 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.
Leadership & Collaboration
- 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.
Qualifications
Required
- 8+ 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 experience
Nice to Have
- Experience 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 open-source ecosystems.
What We’re Looking For
- 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.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
