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A remote Software Development role at Docker. 4+ years building production SaaS applications
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What sets you apartYou 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 ExpectFirst 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.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Docker
YC S10Software Development
42 open roles on Sydicom
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Source: Y Combinator