Senior Software Engineer, Tooling

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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Docker's Platform Engineering team builds and operates the cloud-native platform behind Docker's products. Inside the company, teams across Engineering and the business rely on a growing set of internal applications, and each one is built, deployed, and run a little differently.

We're looking for a Senior Engineer to give those applications a common foundation and then build the custom tools the business needs on top of it. You'll create a framework that makes it easy to build and deploy internal tools, including slack bots, web apps, workflows, etc, with authentication, hosting, observability, and alerting in place. You'll use it to build internally-facing tools to support cross-org efforts: road mapping, headcount management, business reporting, etc.

You'll decide when to build, when to buy, and when to integrate an existing product. You'll help shape how internal systems fit together across the company.

This is a hands-on role. You'll own projects from scoping through rollout and adoption, working with platform leads, engineering teams, and business teams such as HR, Finance, Marketing, and Customer Support.

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• Build and maintain a framework that makes it fast to create and deploy internal applications and services, with defaults for authentication, hosting, CI/CD, logging, observability, and alerting

• Provide templates, documentation, and examples so teams can ship their own tools without starting from scratch

• Set the standards for how internal apps are built, secured, and run, and make the standard path the easiest one

• Leverage existing systems and sources of truth to build cross-connects where they don’t exist

• Work across teams and organizations to understand where tools, processes, or systems are falling short, and turn those gaps into proposals that platform leads can prioritize

• Scope and deliver apps and tooling to address identified gaps

• Ship early versions quickly, learn from how people use them, and improve them over time

• Own the tools you build through rollout, adoption, and ongoing support

• Evaluate whether a need is best met by building, buying, or integrating an existing product, and recommend one with the tradeoffs

• Connect tools to the systems the company already uses, such as identity, data sources, and Slack, so they work together

• Help shape the architecture of internal systems, so they stay consistent and maintainable as the company grows

• Build operational basics into the framework, so every internal app gets incident management, SLO, and alerting defaults automatically

• Use AI tooling to speed up delivery and to automate workflows where it adds value

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• 6+ years of software engineering, including building and shipping internal tools or full-stack web applications

• Strong full-stack skills: a backend language such as Go, Python, or Type Script, and a modern frontend framework

• Experience designing reusable frameworks, templates, or platforms that other engineers build on

• Experience deploying to the cloud (AWS, GCP, or Azure) with containers and CI/CD, and working knowledge of Kubernetes

• Sound judgment on build, buy, and integrate decisions, and experience integrating third-party SaaS products and APIs

• Experience working directly with non-engineering stakeholders to turn a need into a working tool

• Experience with AI-assisted development or LLM-powered automation

• Clear written communication and comfort working asynchronously on a remote team

• Bachelor's degree in Computer Science,…