Docker, Inc
Staff Software Engineer, Networking (Seattle or SF Bay Area)
San Francisco Bay Area · Staff+ · Full-time
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About the role
- ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls.
- Combines deep technical expertise in infrastructure at scale, virtual networking, service mesh, orchestration, and integration across the broader infrastructure stack; 2.
Responsibilities
- Design, implement, and operate core networking services that power Docker's Sandboxes platform across local laptops and public cloud environments
- Build scalable networking infrastructure for microVM orchestration, workload scheduling, and lifecycle management
- Develop high-performance networking data- and control-plane components for multi-tenant agentic workloads
- Collaborate with product, platform, and security teams to deliver customer-focused capabilities
- Participate in architectural discussions, code reviews, and design documents
- Take part in on-call rotation for your team; respond to incidents and drive continuous improvement of system reliability and availability
- Communicates and collaborates well, thinks critically, and turns ideas into working systems
- Provides technical leadership to a small team of engineers, driving customer delight through the solutions they deliver
- Flexibility that fits your life - We trust you to manage your schedule while delivering great work.
- We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives.
Requirements
- 8+ years of experience building and leading large-scale cloud or distributed systems, with a focus on networking foundations
- Track record of driving technical consensus and delivering high-quality infrastructure software at scale, on tight timelines
- Experience with microservices architecture, container networking, service mesh, policy enforcement, and container orchestration
- Experience with kernel and user-space networking technologies, including Linux networking, OVS/OVN, DPDK, and eBPF
- Experience designing and operating highly available, secure, and observable networking infrastructure
- Strong understanding of cloud infrastructure (AWS, Azure, GCP, OCI) and related scalability patterns
- Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Excellent problem-solving and debugging skills in distributed environments
- Strong communication skills and ability to collaborate across remote, cross-functional teams
- Onboard, integrate with our Sandbox infrastructure teams, and build context on Docker's Sandbox vision
- Deep-dive into Sandbox architecture for local and public-cloud infrastructure, with a focus on driving simple, common foundational primitives usable across both environments
- Identify the highest-leverage opportunities in the current architecture, along with strategic and tactical execution risks
- Develop a technical roadmap to address the challenges identified; drive consensus across stakeholders
Skills
- Your work will directly enable Docker's expansion into AI and security products.
Compensation
- Compensation & Equity
Benefits
- 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.
Equal opportunity
- equal opportunity employer.
Visa & Work Authorization
- Docker considers visa sponsorship on a case-by-case basis based on business needs.
This listing is sourced directly from Docker, Inc's careers page and normalized into a canonical job model.