Software Engineer, Billing

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.

We're in an inflection point. AI agent-driven development is no longer experimental here — it's how we work. We're setting the standard for what it looks like to apply AI-assisted software development to real business systems with real consequences: revenue, compliance, customer trust. If you want to be at the frontier of that practice, not just consuming it but defining it, this is the role.

The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:

• How do we build subscription and usage-based billing flows that are accurate, auditable, and extensible?

• How do we design APIs and service boundaries that remain coherent as billing models evolve?

• How do we architect software systems that AI agents can implement correctly — with specifications tight enough that the output is trustworthy?

• How do we reduce friction in the checkout, upgrade, and payment experience for millions of Docker users?

You'll collaborate with product managers, designers, finance, and business operations. Billing touches more of the company than most teams do — you'll need to be comfortable working across those interfaces.

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  Lead and contribute to features across the billing stack: subscription management, payment processing, entitlements, invoicing, and internal tooling

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  Write, review, and maintain Go/Golang backends and TypeScript/React frontends — including unit, integration, and e2e tests

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  Architect and specify systems with enough precision that AI-assisted implementation produces correct, reviewable output

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  Work within a cross-functional team alongside product, design, and data engineering

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  Own features through their full lifecycle: design, implementation, deployment, and production operation

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  Handle ad-hoc internal billing support requests across the company

• 4+ years building production SaaS applications

• Strong Go/Golang backend experience

• 2+ years with TypeScript/React on the frontend

• Experience with payment and billing platforms — Stripe strongly preferred

• Comfort with cloud infrastructure: AWS preferred, Postgres, Terraform, Kubernetes, GitHub Actions

• Demonstrated ability to write clear technical specifications and design documents — this is as important as code

• Experience or genuine interest in billing, payments, subscriptions, or financial systems

• Strong written English; we are async-first and writing is how decisions get made

• Security-aware engineering practices

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

You understand that in an AI-agent development workflow, the leverage is upstream — in planning, specification, and architectural thinking — not in writing lines of code. You want to help define what high-quality AI-assisted development actually looks like on a team that ships business-critical systems.

You will ship code in your first week. We run an agent-first development workflow — plans before code, specifications before generation, review before merge — and onboarding is no exception. You will get hands-on with the Billing Platform codebase and service architecture early, meet your counterparts across product, finance, and business operations, and build a working picture of how billing, payments, and entitlements move through Docker's products. By the end of 30 days you will have shipped real work and have a clear sense of how the team operates.

You will be an active contributor to design discussions and code reviews, bringing both engineering rigor and a billing domain lens to work in flight. You will have shipped your first meaningful feature through the full lifecycle — design, implementation, deployment, and production — and have a working understanding of where the most important improvements should be made.

You will be a trusted contributor on a team that is setting the standard for AI-agent-driven development on real business systems. You will have driven meaningful improvements to billing accuracy, payment reliability, or developer experience — and your work will be directly visible in the commercial systems that make Docker's growth possible. You will have a clear sense of what you own and where you're headed next.

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