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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’s AI Tools & Security team is building the foundation for the next generation of secure, developer-friendly AI infrastructure. Our flagship product, the MCP Gateway, empowers developers to connect, observe, and secure AI agents and tools across the entire lifecycle—from prototype to production. We’re defining how developers safely harness the power of the Model Context Protocol (MCP) in real-world environments. We’re looking for a Senior Software Engineer who thrives at the intersection of AI, security, and developer experience. You’ll lead the technical direction of the Gateway and related services, collaborating closely with Product, Design, and Security to deliver elegant frameworks and APIs that developers love to use. This is a high-velocity, high-ownership environment: you’ll ship fast, iterate constantly, and help shape the future of secure agent-based development.
Job Responsibility:
Contribute to defining the technical approach for new product initiatives
Collaborate closely with Product and Design to shape features and user experience
Support and guide teammates through code reviews and technical discussions
Serve as a reliable technical voice within the team and help ensure strong engineering standards
Requirements:
6+ years of backend engineering experience with production-grade systems
A strong product mindset—you're excited about building developer-facing tools
Strong grasp of software engineering best practices (code review, source control, CI/CD, testing)
Experience building secure, high-throughput services
Proficiency in modern programming languages (we primarily use Go)
Ownership mentality with a bias for shipping, learning, and iterating
Comfortable working with autonomy across distributed, remote teams.
Strong written and verbal English communication skills
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Nice to have:
Experience with Kubernetes, Docker, and microservices architecture
Prior experience with OpenAI, Anthropic, or similar LLM APIs, and the MCP specification
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