The ad says“Experience building and operating cloud-based services (AWS preferred)”
The ad says“We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems”
The ad says“Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability”
The ad says“We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems”
The ad says“Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production”
The ad says“Strong production experience with Golang, including designing and operating large Go-based services in cloud environments”
The ad says“Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent”
The ad says“Strong production experience with Kubernetes, including operating services at scale”
The ad says“Experience with OCI registries, artifact stores, or large-scale content distribution systems”
The ad says“Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production”
The ad says“Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent”
The ad says“Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability”
The ad says“We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems”
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
Preferred experience
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
Recruitment process
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
