Docker, Inc
Staff Software Engineer, AI Developer Tools
San Francisco, CA · Staff+ · Full-time
Stay score
odds of building a lasting career here
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.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$22,799 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
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.
- You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex.
- Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Responsibilities
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Systems Design and Implementation
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
Requirements
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Track record of mentoring other experienced engineers
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Experience evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
Nice to have
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
Skills
- AI-Powered Developer Tools.
- Self-Service AI Developer Tools Platform.
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.
Visa & Work Authorization
- Docker considers 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.