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 Desktop is one of the core pillars of the Docker suite—powering the workflows of millions of developers worldwide. According to the Stack Overflow Developer Survey, Docker has been ranked the most-used, most-desired, and most-admired developer tool for multiple years running. Joining the Desktop Platform team means shaping the experience behind one of the most loved tools in modern software development. The Desktop Platform team is responsible for the core lifecycle of Docker Desktop, including installation, updates, startup, and key shared components used by every Docker Desktop feature team. Our work ensures that Docker Desktop is reliable, and easy to adopt, while providing the modular foundations that enable other teams to build and ship with confidence. Engineers at Docker have access to industry-leading AI tools that support design exploration, code comprehension, implementation, testing, and everything in between. You’ll join a team that is pragmatic, curious, and intentional about using AI to augment - not replace - great software engineering. Please note, this role is remote, but is only open to candidates currently living and working in the EST (Eastern) time zone in the United States. In this role, you will design, develop, and maintain the systems that define the Docker Desktop experience end to end. You’ll improve update and install reliability, reduce startup time, strengthen diagnostics, refine shared platform components such as settings and feature flags, and contribute to the architectural evolution that accelerates development across all Desktop teams. The successful candidate has strong systems and OS fundamentals and thinks like a platform engineer—designing modular, predictable components that scale across teams. They bring sound technical judgment, contribute thoughtfully to architectural discussions, and use data to guide decisions. They collaborate effectively across engineering groups and are comfortable owning ambiguous, cross-cutting problems that shape the long-term health of Docker Desktop.
