Software Engineer, Billing
Role details
Job location
Tech stack
Job description
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.
Responsibilities
- Lead and contribute to features across the billing stack: subscription management, payment processing, entitlements, invoicing, and internal tooling
- Write, review, and maintain Go/Golang backends and TypeScript/React frontends - including unit, integration, and e2e tests
- Architect and specify systems with enough precision that AI-assisted implementation produces correct, reviewable output
- Work within a cross-functional team alongside product, design, and data engineering
- Own features through their full lifecycle: design, implementation, deployment, and production operation
- Handle ad-hoc internal billing support requests across the company, 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., * Develop, deploy, and monitor microservices and serverless components in AWS.
- Build and improve automation tooling including GitHub Actions, Argo CD, and Grafana dashboards.
- Tackle high-performance engineering challenges to deliver container images and metadata efficiently and securely.
- Design and enforce security and compliance policies across delivery pipelines.
- Collectively own the security posture and developer experience of secure container images.
- Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability, * Take ownership over a functional area (scope depends on level).
- Help shape the direction of Docker products, with a strong focus on security and policy enforcement.
- Collaborate across teams to deliver end-to-end features that strengthen supply chain
Docker considers sponsorship on a case-by-case basis based on business needs.
Requirements
- 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
What Sets You Apart
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 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.
One Year Outlook
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., * 6+ years of experience building, deploying, and monitoring microservices on top of cloud infrastructure (AWS, Azure, GCP, etc.).
- Proficiency in modern programming languages (we primarily use Go).
- Knowledge of relational and non-relational databases in high-volume environments.
- Strong grasp of software engineering best practices (code review, source control, CI/CD, testing).
- Comfortable working with autonomy across distributed, remote teams.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Bonus points: hands-on experience in infrastructure security, policy enforcement, or compliance frameworks (e.g., SLSA, SOC 2, FedRAMP).