D

Docker

Containerization platform for building apps

Principal Software Engineer - Developer Tools

Full-Time
$198k - $319k/yr
Expert
Bachelor's
Remote in USA
Remote
Software Engineering
H1B Sponsorship Available

About the job

Requirements
  • At least 10 years of software engineering experience, including at least 3 years in Staff or Principal Engineer roles.
  • A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • A proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale.
  • Deep expertise in continuous integration and continuous delivery systems, build infrastructure, and GitOps deployment patterns.
  • Production experience with cloud-native infrastructure, including Kubernetes, Prometheus, Grafana, Loki, observability systems, and deployment tooling.
  • Experience designing self-service platforms, developer portals, or golden path tooling that enables other teams to move faster.
  • Working knowledge of artificial intelligence and machine learning technologies, with hands-on experience using large language model APIs or developing AI agents.
  • Proficiency in Go, Rust, Java, or Python, with strong software engineering fundamentals.
  • Strong communication skills and the ability to influence technical and non-technical stakeholders.
  • A track record of technical mentorship and elevating engineering teams' capabilities.
  • An ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments.
  • Comfort working autonomously in distributed, remote-first teams across multiple time zones.
Responsibilities
  • Define the long-term technical vision and architecture for Docker's developer tooling platform across platform engineering, continuous integration and delivery, and AI-powered tools.
  • Author software development lifecycle tenets with principal engineers, Security, and Infrastructure, and build the mechanisms those tenets bind to, including design gates, code review gates, pipeline standards, and visibility.
  • Establish architectural patterns, technical standards, and best practices across the developer tooling stack.
  • Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services.
  • Drive technical decisions on tooling choices, provider strategies, build and deployment substrate, and agent orchestration frameworks.
  • Partner with the Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities.
  • Architect and build Docker's internal developer platform, enabling teams to scaffold, deploy, and operate services with minimal friction.
  • Design and implement continuous integration, continuous delivery, and build infrastructure supporting Docker's software development lifecycle tenets and GitOps deployment patterns.
  • Establish reliability, security, and performance standards for developer tooling, including service-level objectives, monitoring, incident response, and cost management.
  • Design integration points between developer tools and existing infrastructure, including continuous integration and delivery pipelines, observability platforms, and deployment systems.
  • Evaluate emerging technologies across developer tooling, platform engineering, artificial intelligence, large language models, and agent frameworks to inform Docker's technical strategy.
  • Define and enforce the golden path for how Docker builds software, identifying where tooling closes gaps and where human processes do.
  • Drive technical standards for measuring developer tool effectiveness, including adoption metrics, productivity gains, pipeline performance, and developer satisfaction.
  • Lead cross-functional technical discussions influencing company-wide developer tooling architecture.
  • Define the technical approach for productizing successful internal developer tools into customer-facing offerings.
  • Mentor senior and staff engineers on platform engineering, continuous integration and delivery patterns, design, and artificial intelligence and large language model integration.
  • Lead design reviews and technical decision-making across developer tooling work.
  • Foster technical excellence, experimentation, and rapid prototyping within the Developer Tools team.
  • Serve as the primary technical contact and thought leader for developer tooling across Docker's engineering organization.
  • Collaborate with Infrastructure, Security, Agentic Platform, and Supply Chain Security teams to establish shared technical standards and integration patterns.
  • Participate in an on-call rotation to provide support outside standard business hours, including evenings, weekends, and holidays, as needed.
Desired Qualifications
  • Experience with Model Context Protocol or similar AI agent integration standards.
  • Background in DevOps, Site Reliability Engineering, or platform engineering.
  • Contributions to open-source developer tooling, platform engineering, or observability projects.
  • Experience productizing internal platforms into commercial offerings.
  • Deep knowledge of security, compliance, and operational best practices for production systems.
  • Experience with infrastructure-as-code frameworks such as Terraform or Pulumi and multi-cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
  • A track record driving organization-wide adoption of developer tooling and engineering standards.

About the company

Docker builds, shares, and runs applications in isolated containers by packaging an application and its dependencies into a container image that runs consistently across different systems. It provides tools like Docker Desktop for local development, Docker Hub as a container image repository, and a command-line interface to build, run, and manage containers. It differentiates itself with a large ecosystem, an official image repository, and integrated tools that support an end-to-end container workflow. The company aims to help developers consistently build, share, and run software across any environment, using a freemium model with subscription tiers and additional services.

Company Size

1,001-5,000

Company Stage

Series C

Total Funding

$526M

Headquarters

Palo Alto, California

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • Docker added Mat Velloso and Vinh Le on August 18, 2026, sharpening AI execution.
  • Cloud Sandboxes boot in hundreds of milliseconds and scale to 16 vCPUs.
  • Docker is submitting Kits to CNCF, positioning itself as the agent standard.

What critics are saying

  • Podman Desktop and free registries like Harbor undercut Docker Desktop and Hub pricing.
  • Docker Cloud Sandboxes remain experimental in docs, and one-hour expirations disrupt long jobs.
  • If OCI-native Kits standardize without Docker, the company becomes a replaceable runtime wrapper.

What makes Docker unique

  • Docker Cloud Sandboxes launched September 24, 2026, extending agent isolation from laptop to cloud.
  • Docker's Sandbox Kit Spec v3 packages permissions, tools, and volumes into OCI images.
  • Docker unifies Hub, Desktop, and AI governance across one developer workflow.

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Benefits

  • Flexible Work Hours
  • Home Office Stipend
  • Parental Leave
  • Phone/Internet Stipend
  • Unlimited Paid Time Off
  • Professional Development Budget
  • Company Equity
  • Health Insurance

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
PR Newswire
Sep 24th, 2026
BAND partners with Docker to enable safe sandboxed execution for multi-agent AI teams

BAND has partnered with Docker to integrate sandboxed local execution into its multi-agent collaboration platform. The integration enables developers to run AI agents inside Docker Sandboxes' isolated microVM environments whilst connecting them to larger agent teams through BAND's platform. The BAND Python Kit for Docker Sandboxes allows agents to work with local codebases in isolated environments while communicating with other agents and humans in BAND rooms. BAND provides collaboration infrastructure, including persistent agent identities and shared rooms, whilst Docker Sandboxes offers isolated execution with its own kernel and filesystem. The architecture enables sophisticated workflows where hosted and local agents can collaborate. A BAND room might contain hosted planning and research agents alongside a local coding agent in a Docker Sandbox, with only the local agent accessing the repository. The integration addresses challenges as AI agents evolve from chat interfaces to autonomous systems requiring safe code execution and collaboration capabilities.

Associated Press
Sep 24th, 2026
Docker launches cloud sandboxes for secure AI agent execution beyond local machines

Docker has launched Docker Cloud Sandboxes, enabling AI agents to run in cloud infrastructure rather than on developers' laptops. The solution extends Docker's secure local sandbox isolation to the cloud, allowing agentic workflows to continue running after machines shut down. The service lets developers start work locally and shift to the cloud without switching environments. Cloud Sandboxes boot in hundreds of milliseconds and scale from 1 to 16 vCPUs without requiring infrastructure provisioning. Docker also introduced next-generation Kits, an open specification for packaging agentic sandboxes as standard OCI images. The company plans to submit the Kits specification to the Cloud Native Computing Foundation. Docker Cloud Sandboxes are available now at docker.com/products/docker-sandboxes.

Associated Press
Aug 18th, 2026
Docker names Mat Velloso CPO and Vinh Le CFO to lead agentic AI expansion

Docker has appointed Mat Velloso as chief product officer and Vinh Le as chief financial officer to strengthen its leadership team as the company expands into agentic workflow management. Velloso brings 15 years of experience from Microsoft, where he advised the CTO and CEO, and later worked with Google AI Studio and Meta on AI strategy. At Docker, he will drive product strategy to help customers secure and manage agentic workflows at enterprise scale. Le joins from PolyAI, bringing experience from Electronic Arts, Tanium, and BetterUp. He will lead Docker's global finance organisation and support the company's growth strategy. Docker positions itself as a trusted platform for building software in what it calls the "agentic era", helping organisations deploy autonomous agents whilst maintaining security and governance.

Wikipedia
May 14th, 2026
Docker, Inc.

Docker, Inc. is an American technology company that develops productivity tools built around Docker, which automates the deployment of code inside software containers via OS-level virtualization.[1][2] Major commercial products of the company are Docker Hub, a central repository of containers, and Docker Desktop, a GUI application for Windows, Linux and macOS to manage containers. The historic offering was Docker Enterprise PaaS business, acquired by Mirantis.[3] The company is also an active contributor to various CNCF projects, such as containerd and runC. The main open source offering of the company are Docker Engine and buildkit which are rebranded under the Moby umbrella project. The core specification, Dockerfile, still includes the company trademark, however.

TechCrunch
Mar 13th, 2026
Docker partners with NanoClaw creator weeks after viral AI agent tool launch

NanoClaw creator Gavriel Cohen has struck a deal with Docker to integrate Docker Sandboxes into his open-source AI agent-building tool, capping a whirlwind six weeks since the project's launch. Cohen built NanoClaw in a weekend as a secure alternative to OpenClaw, using just 500 lines of code compared to OpenClaw's 800,000. The project exploded after AI researcher Andrej Karpathy praised it on X, garnering 22,000 GitHub stars and 4,600 forks. Cohen has since shut down his AI marketing startup, which was on track for $1 million in annual recurring revenue, to launch NanoCo around the project. The company plans to offer commercial services including forward deployed engineers to help companies build secure AI agents, though specific monetisation plans remain under development. VCs are already calling, Cohen says.