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. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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Join Docker's Agentic Platform team to build the foundational infrastructure powering the next generation of AI-driven workflows. Intelligent agents are rapidly becoming the primary interface between developers and complex systems and we're building the platform that makes them reliable, scalable, and observable at production scale.
You'll be working on the core agent execution runtime, orchestration primitives, and the cloud infrastructure that keeps the Agentic Platform running 24/7. This is a high-ownership role: you won't just build systems, you'll run them, respond when they fail, and drive continuous improvement across the stack.
This is a greenfield opportunity to shape how agents are built and operated at scale. You'll work alongside seasoned engineers, collaborating with partner teams across AI infrastructure, developer experience, and platform reliability.
Please note: for this role, we are prioritizing candidates who currently live in Seattle, WA Metro Area.
Responsibilities/What you'll work on:
Agent Workflow & Orchestration
Design and operate the core agent execution runtime responsible for scheduling, state management, and lifecycle management of long-running agentic workflows
Build robust multi-agent coordination patterns: task handoff, agent memory (short-term and long-term), tool use, and workflow branching at scale
Develop context window management strategies and session persistence layers for stateful agent interactions
Build tooling for prompt engineering as a first-class engineering discipline — versioning, testing, and evaluation of prompts at scale
Build platform capabilities that support developers working in AI-assisted coding workflows, including IDE integrations, local-first development environments, and fast iteration loops
Cloud Infrastructure & Service Ownership
Own and operate Agentic Platform services in AWS or OCI infrastructure provisioning, scaling, cost management, and reliability
Provision and manage cloud infrastructure using Terraform; manage Kubernetes application packaging and deployment with Helm
Participate in the 24/7 on-call rotation
This role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
Define and uphold SLOs; lead incident response, blameless post-mortems, and drive continuous reliability improvements
Instrument systems for observability: distributed tracing, structured logging, metrics dashboards, and alerting
Technical Leadership
As a Staff Engineer, partner with engineering leadership to set technical direction and serve as a guide and mentor as the team grows
Drive architectural decisions that balance velocity with long-term maintainability across a distributed, cloud-native stack
Collaborate cross-functionally with product managers, designers, and partner engineering teams to integrate agentic capabilities into the broader developer platform
Contribute to a culture of engineering excellence through design reviews, RFC processes, and mentorship
Qualifications for this role
Required:
12+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
Cloud Platform Expertise (AWS/OCI/Azure/GCP): Proven, hands-on experience operating production services in AWS or Oracle Cloud Infrastructure compute, networking, managed services, IAM, and cost management. This is a must-have; the Agentic Platform is a cloud-native service running 24/7.
Service Ownership in a Cloud Setting: You have owned production services end-to-end — on-call, incident response, SLO definition, and post-mortems. You don't just build; you run what you build.
Distributed Systems Design: Deep understanding of fault tolerance, consistency, observability, and scalability in cloud-native environments
Backend Engineering Proficiency: Strong proficiency in at least one backend language used for systems work — Go, Python, Rust, or Java
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Strongly Preferred:
Go: Professional proficiency in Go — Docker's primary language for backend systems
Infrastructure as Code: Experience with Terraform for cloud infrastructure provisioning and Helm for Kubernetes application packaging and deployment
Data Infrastructure: Experience with PostgreSQL and Redis / Pub-Sub patterns for state management, caching, and event-driven agent workflows
MCP & Agent Tooling: Experience with MCP (Model Context Protocol) server design and integration
Container & Orchestration: Docker, Kubernetes, or equivalent — especially in the context of agent sandboxing and secure code execution environments
AI-assisted development tools: Familiarity with Cursor, Claude Code, Copilot, Windsurf, etc. and the developer personas using them
Agent Evaluation: Experience with LLM-as-judge frameworks, behavioral regression testing, and golden dataset management
Agent Systems Experience: Hands-on experience building or operating AI agent systems — including multi-agent orchestration, tool use, memory systems, or agent evaluation frameworks
Open Source: Contributions or community engagement on relevant open source projects
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
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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.
