Software Engineer, Billing

Docker
US
Remote

Who this role is best for

Aimed at senior engineers with Go/Golang and TypeScript/React experience who want to define AI-agent-driven development in billing systems.

Best fit for

  • Senior engineers who thrive in cross-functional billing and payments domains.
    — “Collaborate with product managers, designers, finance, and business operations
  • Developers comfortable specifying systems for AI-assisted implementation.
    — “Architect and specify systems with enough precision that AI-assisted implementation produces correct, reviewable output
  • Candidates with Stripe and SaaS billing platform experience.
    — “Experience with payment and billing platforms — Stripe strongly preferred

Things to consider

  • Expect to handle internal billing support requests across the company.
    — “Handle ad-hoc internal billing support requests across the company
  • Writing clear technical specifications is as important as coding.
    — “Demonstrated ability to write clear technical specifications and design documents — this is as important as code

How to stand out

  • Showcase experience in architecting systems for AI-assisted development.
    — “You understand that in an AI-agent development workflow, the leverage is upstream
  • Highlight contributions to billing accuracy or payment reliability.
    — “You will have driven meaningful improvements to billing accuracy, payment reliability, or developer experience
  • Emphasize security-aware engineering practices in your past work.
    — “Security-aware engineering practices
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and maintained billing systems
  • Improved user experience in billing processes
Typical background
Software EngineerBilling System Developer

Skills & requirements

Required

Go/golangTypescript/reactPayment ProcessingCloud InfrastructureTechnical Specifications

Preferred

Ai-assisted Development

Stack & domain

Go/golangTypescript/reactPayment ProcessingBilling PlatformsCloud InfrastructureAWSPostgreSQLTerraformKubernetesGithub ActionsTechnical SpecificationsDesign DocumentsCommunicationTeamworkBillingPaymentsSubscriptionsFinancial Systems

About the role

This role involves leading and contributing to the development of billing systems for Docker, requiring strong backend and frontend skills, as well as a keen interest in AI-assisted development practices.

Original posting from Docker via Ashby

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.

WHAT YOU'LL WORK ON

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

QUALIFICATIONS

  • 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.

WHAT TO EXPECT

FIRST 30 DAYS

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.

FIRST 90 DAYS

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.

Overview https://jobs.ashbyhq.com/docker/7ba666f6-c67b-45be-a01d-5ea2bf538cca?embed=jsApplication https://jobs.ashbyhq.com/docker/7ba666f6-c67b-45be-a01d-5ea2bf538cca/application?embed=js

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.

The Supply Chain Security group is rethinking software development and operations security with a holistic, developer-first approach. We’re building an end-to-end solution for securing the container ecosystem — from the developer’s inner loop to production — with automation, scalability, and ease-of-use at the center.

We’re looking for a Senior Backend Engineer who thrives at the intersection of large-scale infrastructure and security. The ideal candidate not only has experience building and running services at scale, but also understands the importance of security and policy enforcement in protecting modern software supply chains. You’ll collaborate with product managers, designers, and other engineers to deliver, secure, and evolve Docker’s registry and SaaS offerings — shaping the way developers around the world deliver containers more effectively and securely.

RESPONSIBILITIES

  • 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

QUALIFICATIONS

  • 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 auton

Source: Docker careers (Ashby)

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