Principal Support Engineer

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.

Docker supports customers using the largest and most popular container registry service in the world today, Docker Hub. Millions of users - community developers, open source projects and Independent Software Vendors - push and pull Docker container images billions of times through Docker Hub.

We are seeking a Senior Software Engineer, Agentic Platform to join Support Engineering and accelerate delivery of our agentic platform. You are a strong software engineer first - fluent in modern AI-assisted development (Cursor, Codex, Claude) as a force multiplier, but disciplined about shipping: tests, review, evals, and production hygiene are non-negotiable.

Working in strong partnership with the Principal Engineer and Support Engineering leadership, this is reliable vibe coding at scale - fast iteration with AI tools, never at the expense of dependable systems. You provide broad coverage across UI, APIs, integrations, data surfaces, and agentic workflows, with observability, 12-factor discipline, and safe human handoff.

Responsibilities:

• Build agentic and automation workflows with structured inputs, tool calls, evaluation, regression checks, observability, and safe handoff Partner with the principal engineer, Support Engineering, and operations teams to define problems, ship solutions, measure impact, and iterate from real usage Design, develop, and maintain full-stack support tooling, including UI, APIs, background jobs, and service integrations

• Integrate CRM, warehouse, ticketing, incident management, and knowledge systems with clear contracts, retries, idempotency, and auditability Improve reliability, performance, and trust through metrics, logs, traces, dashboards, and production operating practices

• Build safe tool access patterns with least-privilege permissions, audit trails, and human approval for sensitive actions

• Participate in on-call rotation for systems your team owns

Minimum Qualifications:

• Daily fluency with AI-assisted development (Cursor, Codex, Claude, or similar) paired with the judgment to keep output reviewable, testable, and production-safe 6+ years of experience building production web applications, backend services, internal platforms, or distributed systems

• Strong software development skills with Type Script/React and Go, or a comparable backend language used in production

• Hands‑on experience shipping reliable software from design through delivery, including testing, debugging, documentation, and code review Practical experience with LLM application patterns such as tool/function calling, structured outputs, retrieval, evaluation, or agent orchestration Experience building integrations across REST APIs, webhooks, queues, data systems, or workflow platforms

• Production familiarity with observability and operations, including logging, metrics, tracing, dashboards, and incident response

• Strong written and verbal communication in a remote environment, including technical documentation and cross-team collaboration

Nice to Have

Qualifications:

• Agent or workflow orchestration platforms, eval frameworks, tracing tools, or MCP‑style tool servers

• Salesforce, Snowflake, subscription, billing, or incident management integrations

• Support, ticketing, customer operations, or go‑to‑market systems experience

• Kubernetes, cloud services, CI/CD, and internal platform deployment experience

First 90 Days

• Ramp fast on Docker’s products, support workflows, and case data

• Secure access and stand up integrations that…