9 hours ago
Seattle, WA, USA or San Francisco, CA, USASenior
Base Salary
$161k - $261k/yr
Responsibilities
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident-response automation.
- Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable developer tools.
- Build self-service platform capabilities that help teams prototype, deploy, and scale their own AI developer tools.
- Integrate AI tools with CI/CD pipelines, observability platforms, deployment systems, and other developer infrastructure.
- Instrument tools to measure adoption, effectiveness, and developer satisfaction.
- Build deployment pipelines, observability integrations, security controls, and cost-management capabilities for AI systems.
- Take features and services from requirements through production, including design documents, design reviews, code review, monitoring, and incident response.
- Participate in the on-call rotation and improve alerts, runbooks, and operational tooling.
- Collaborate with infrastructure, security, data, product engineering, and platform teams, and help newer engineers develop their skills.
Requirements
- 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.
- Working knowledge of LLM APIs such as OpenAI and Anthropic, prompt engineering, agent orchestration frameworks, and AI-assisted software development workflows.
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms.
- Experience with cloud-native infrastructure, Kubernetes, CI/CD pipelines, and observability systems.
- Proficiency in Go, Rust, Java, or Python.
- Experience building developer tools, platform systems, or internal tools used by other engineers.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Preferred qualifications include MCP or similar AI-agent integration standards, developer productivity, DevOps, SRE or platform engineering experience, open-source contributions, ArgoCD, Grafana, infrastructure-as-code with Terraform or Pulumi, and AWS, GCP, or Azure experience.
- Strong product judgment, communication, ownership, autonomous execution, and comfort working in a distributed remote-first environment.
Benefits
- Remote-first work from home, with offices in Seattle and Paris for collaboration.
- Flexible scheduling and generous PTO, quarterly Whaleness Days, and an end-of-year Whaleness break.
- Home office support and a technology stipend equivalent to US$100 net per month.
- Annual learning and development stipend for conferences, courses, certifications, and continued learning.
- 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees and comprehensive benefits including medical, retirement, and paid holidays, varying by country.
- Docker swag.
Categories
About Docker
Docker builds developer tools for building, sharing, and running containerized applications, including Docker Desktop, Docker Hub, Docker Scout, and the open-source Docker Engine. It monetizes through paid subscriptions for individuals, teams, and enterprises, along with security offerings such as Docker Hardened Images. Founded in 2013 and headquartered in San Francisco, the company serves over 20 million monthly users and supports more than 20 billion container image pulls.