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Docker Logo Docker · IT - Software Development

Principal Software Engineer, AI Developer Tools

United States, Seattle 232000.00 - 319000.00 USD / Year · Job Posted February 21, 2026
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Job Description

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Docker seeks a Principal Engineer to define the technical vision and architecture for our new AI Developer Tools team. This is a rare opportunity to establish the technical foundation for how AI will transform developer productivity—both internally at Docker and for our customers worldwide. You'll work at the intersection of AI, developer experience, and platform engineering, architecting cutting-edge AI-powered developer tools and building the platform that enables teams across Docker to rapidly prototype, deploy, and scale their own AI developer tools.

Job Responsibility

  • Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
  • Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
  • Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
  • Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
  • Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
  • Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
  • Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
  • Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
  • Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
  • Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management
  • Design integration points between AI developer tools and existing developer infrastructure (CI/CD pipelines, observability platforms, deployment systems)
  • Lead technical implementation of AI tools that improve early-stage development metrics (commits, PRs), deployment pipelines, and incident response while maintaining pipeline stability
  • Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks to inform Docker's technical strategy
  • Define technical approach for productizing internal AI developer tools into customer-facing offerings
  • Drive technical standards for measuring AI tool effectiveness including adoption metrics, productivity gains, and developer satisfaction
  • Optimize AI tool performance, cost efficiency, and developer experience through architectural improvements and LLM provider strategies
  • Lead cross-functional technical discussions influencing company-wide AI and developer tooling architecture
  • Mentor senior and staff engineers on AI/LLM integration patterns, agent development, and platform engineering best practices
  • Lead design reviews and technical decision-making for production AI systems
  • Foster culture of technical excellence, experimentation, and rapid prototyping within AI Developer Tools team
  • Serve as primary technical contact and thought leader for AI in developer workflows across Docker's engineering organization
  • Collaborate with platform teams (Infrastructure, Security, Data) to establish shared technical standards and integration patterns

Requirements

  • 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
  • Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
  • Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
  • Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
  • Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
  • Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
  • Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
  • Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
  • Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
  • Track record of technical mentorship and elevating engineering teams' capabilities
  • Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments
  • Comfortable with autonomous work in distributed, remote-first teams across multiple time zones
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Nice to have

  • Experience with MCP (Model Context Protocol) or similar AI agent integration standards
  • Background in developer productivity, DevOps, SRE, or platform engineering domains
  • Contributions to open source AI tools, developer tooling, or platform engineering projects
  • Experience productizing internal platforms or tools into commercial offerings
  • Deep knowledge of security, compliance, and operational best practices for production AI systems
  • Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure)

What we offer

  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • we are a growing start-up and want all employees to have a share in the success of the company
  • Docker Swag
  • Medical benefits, retirement and holidays vary by country
  • Remote-first culture, with offices in Seattle and Paris
Docker - All Job Offers

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