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About the Role

Docker is seeking a Senior Software Engineer to join the AI Developer Tools team. This role focuses on building AI-powered developer tools and the underlying platform, working at the intersection of AI, developer experience, and platform engineering. You will contribute to tools that enhance engineer productivity and enable teams to prototype, deploy, and scale their own AI developer tools.

Responsibilities

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 tools to measure adoption, effectiveness, and developer satisfaction.
Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management.
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.
Take features and services from requirements to production, considering scale, users, and constraints before designing.
Write clear design documents for owned work and participate in team design reviews.
Review code thoroughly and share learnings with the team.
Take part in the team's on-call rotation and improve alerts, runbooks, and tooling.
Follow AI-assisted engineering practices, using AI tools critically and validating their output.

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.
Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals.
Experience building developer tools, platform systems, or internal tools that other engineers rely on.
Good product judgment, weighing developer experience and technical trade-offs.
Clear written and spoken communication suited to a remote, async-first company.
Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments.
Comfortable working autonomously in a distributed, remote-first team.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Skills

LLM APIs (OpenAI, Anthropic)
Prompt engineering
Agent orchestration frameworks
Scalable backend services
Distributed systems
Developer-facing platforms
Cloud-native infrastructure
Kubernetes
CI/CD pipelines
Observability systems
Go
Rust
Java
Python
Developer tools
Platform systems
Internal tools
MCP (Model Context Protocol)
GitOps deployment patterns (ArgoCD)
Grafana-based observability
Infrastructure-as-code (Terraform, Pulumi)
AWS
GCP
Azure

Location

Remote

Work Type

Remote-first
Full-time

Experience Level

Senior

Education Level

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

Salary/Compensations

$160,900 – $260,700 + equity

Benefits

Remote-first by design
Offices in Seattle and Paris for connection and collaboration
Flexibility that fits your life
Generous PTO
Designated quarterly Whaleness Days
Designated end-of-year Whaleness break
Home office support
Technology stipend (US$100 net per month)
Learning & development stipend (annual)
16 weeks of paid parental leave
Equity for all full-time employees
Comprehensive benefits (Medical, retirement, paid holidays vary by country)
Docker swag

About the Company

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.

Equal Opportunity

Docker is proud to be an equal opportunity employer.
We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives.
We believe diverse teams build better products, make better decisions, and better serve our global community.