Docker, Inc

Docker, Inc

Staff Software Engineer, AI Gateway

San Francisco, CA or Seattle, WA · Staff+ · Full-time

Sponsorship not specified$170k-$276kDetected 8 days ago
GoDistributed SystemsVector DatabasesAWSDockerKubernetesAPI DevelopmentRESTOAuthLLMsRAGAgentic AILeadership

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.
  • Docker is proud to be an equal opportunity employer.

Responsibilities

  • Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production
  • Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end
  • Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example
  • Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next
  • Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on
  • Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced
  • Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on
  • A track record of identifying systemic gaps - in architecture, process, or tooling-- and driving the fix across team boundaries, not just within your own
  • 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 backend engineering experience, with a track record of owning production-grade systems at significant scale
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Nice to have

  • Prior experience with OpenAI, Anthropic, or similar LLM APIs
  • Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
  • Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
  • Understanding of OAuth 2.1, secret management, and cloud IAM systems
  • Experience with Kubernetes, Docker, and microservices architecture
  • A track record of setting technical standards that other teams or engineers went on to adopt
  • Work on what's next: The agent era is just beginning.
  • Help define the infrastructure stack for the next generation of software.

Skills

  • A model and tool routing layer with built-in security and cost optimization
  • A familiar OpenAI-compatible interface and MCP server
  • Unified observability and policy enforcement
  • Auto-RAG, tool injection, session summarization, and more

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.

Company info

  • Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence
  • Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on

Equal opportunity

  • equal opportunity employer.

Visa & Work Authorization

  • Docker considers sponsorship on a case-by-case basis based on business needs.
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This listing is sourced directly from Docker, Inc's careers page and normalized into a canonical job model.