Docker, Inc
Senior Software Engineer, AI Developer Tools
San Francisco, CA · Senior · Full-time
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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
$4,231 more — $165,131 — moves this role to Level II and 2 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 $165,131 would place this position at wage Level II. 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.
Responsibilities
- Building and Operating AI Developer Tools
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build systems that help Docker's engineers adopt AI-native development tools
- Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster
- Design and Delivery
- Write clear design documents for the work you own, and participate in design reviews for the team
- Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship
- Partner with Infrastructure, Security, and Data teams on integrations and shared standards
- you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward.
Requirements
- Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems
- 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 with GitOps deployment patterns (ArgoCD) or Grafana-based observability
- Familiarity with security and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
- 6+ years of software engineering experience building and operating production systems
- Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
- Experience building developer tools, platform systems, or internal tools that other engineers rely on
- 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
- Comfortable working autonomously in a distributed, remote-first team
Nice to have
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
Skills
- AI-Powered Developer Tools.
- AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews.
- 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.
- Comprehensive benefits - Medical, retirement, and paid holidays vary by country.
Company info
- Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work
- Help newer engineers get up to speed on the team's tools, patterns, and practices
- Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team
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.