Key Problems You’ll Help Solve

• Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on
• Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale
• Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on
• Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find
• Set the bar for developer experience through intuitive APIs and first-class observability

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Who You Are

Required Qualifications

• 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale
• 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
• Fluency in Go and/or Rust
• A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own
• A strong product mindset, with real experience shaping technical direction rather than only executing against it
• Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Bonus Qualifications

• 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

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Why Join Us?

• Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
• Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
• Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
• Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
• Remote-first culture: Work from anywhere with a team that trusts and empowers you.

Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.

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Compensation & Equity

All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.

United States: $170,350 – $275,550 base

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Posting Information

• Open vacancy: This posting is for an existing open role.
• AI in hiring: Docker may use AI-assisted tools during our recruiting process.
• Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.

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Perks & Benefits

• Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
• Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
• 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.
• Docker swag – Because representing the whale never gets old.

Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.

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