Docker

More roles at Docker

Senior Software Engineer, AI Developer Tools

Work from home

Remote role where the employee must remain based in a particular country.

Listed for United States

From the employer's advert: United States: $160,900 – $260,700 + equity

Employer listed it 13 days ago · Added 10 days ago

First listed 13 days ago and still open.

Salary

$160,900 to $260,700

Location

Listed for United States

Work style

Async

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Clear written and spoken communication suited to a remote, async-first company
Where you can work from: Location eligibility not confirmed
Contract: Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
Experience asked for: Not mentioned in the advert
Pay: Technology stipend – Equivalent to US$100 net per month to help support your work.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "San Francisco, CA, Seattle, WA, Remote"

What Nomaders makes of it

Residency required in United States
Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

“Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals”

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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.

_______________________________________________________________________

Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.

As a Senior Engineer you will design, build, and operate:

AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.

Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.

You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.

What Would Make Someone Successful in This Role

You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.

Responsibilities

Building and Operating AI Developer Tools

Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation

Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards

Build systems that help Docker's engineers adopt AI-native development tools

Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems

Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction

Self-Service Platform

Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster

Help reduce time-to-production for new products from weeks to days

Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response

Design and Delivery

Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions

Write clear design documents for the work you own, and participate in design reviews for the team

Requirements

·6+ years of software engineering experience building and operating production systems
·Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
·Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
·Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
·Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems

Benefits

·Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
·Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
·Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
·Home office support – Set up your workspace for comfort and success.
·Technology stipend – Equivalent to US$100 net per month to help support your work.

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Docker, mentioning your remote working experience and working hours (Async).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.