Level

Docker

Senior Software Engineer, Sandboxes (London or East Coast Preferred)

Docker is hiring a Senior Software Engineer, Sandboxes (London or East Coast Preferred) for a remote role open to applicants in United Kingdom. It pays $161k-$261k a year and Level rates it ; you can apply on Docker.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts in line with the typical software engineer posting on Level.
  • This is listed as a remote role.
  • The posting mentions visa sponsorship.
  • The posting mentions Claude, Claude Code and Codex among its tools and skills.

AI in this role

Build and scale secure, isolated microVM runtime environments for AI coding agents to execute untrusted workloads safely.

claudeclaude-codecodexmacoswindowslinux
ai-agentsvirtualizationruntime-environmentssecurityinfrastructuresoftware-engineering

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.

_______________________________________________________________________

The Docker Sandboxes team is building the runtime that lets AI coding agents run safely on a developer's machine: disposable, isolated microVM sandboxes that each get their own Docker daemon, filesystem, and network.

This is the core of Docker's sbx product: developers can give an agent the autonomy it needs to get real work done without it ever touching the host, and tear the whole environment down when it's finished.

The successful candidate is a technical, product-minded engineer with deep experience building secure, isolated runtime environments (sandboxes, containers, or VMs) and a track record of shipping and owning that kind of infrastructure in production at scale. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas.

They can drive clarity and consensus on hard, ambiguous problems that cross team and component boundaries, raise the bar for engineering quality wherever they work, thrive in a remote-first environment, communicate clearly across time zones, work with our users, while bringing curiosity and craftsmanship to hard problems.

Please note: this role is currently prioritizing candidates currently located in the Eastern time zone (US or Canada), or in the EU.

Responsibilities
  • Design, develop, and lead improvements to the sandboxes product across agent integration, tool permissions, and developer-facing workflows.

  • Investigate and resolve correctness, performance, and stability issues in the agent integration layer across macOS, Windows, and Linux.

  • Drive the reliability and performance of sandbox creation, session management, and teardown for AI agent workloads.

  • Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow.

  • Mentor engineers on the team and set the bar in design reviews and code reviews.

  • Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems.

  • Participate in on-call rotations and respond to critical stability issues affecting users.

  • Document your work clearly and share knowledge with the rest of the team.

Qualifications
  • 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.

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

  • Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers.

  • Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment.

  • Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users.

  • Experience driving architecture and technical strategy across multiple engineers or teams.

  • Strong written and verbal communication skills.

  • Comfortable working with a high degree of autonomy in a remote-first environment.

What to Expect

First 30 Days

  • Build an understanding of our codebase.

  • Meet the people on your team and those adjacent to it.

  • Build an understanding of the products we are shipping and our near-term technical priorities.

  • Deliver small fixes or improvements.

First 90 Days

  • Lead the design and development of a significant improvement or feature of the local sandboxes stack.

  • Engage with our open source project and the relevant upstream communities.

  • Shape the team's technical direction, and drive architecture discussions.

One Year Outlook (First Year)

  • Deliver measurable improvements to the correctness and performance of sandboxes.

  • Become a recognized technical owner of key parts of the codebase and a go-to technical leader for the local runtime.

  • Help us define the longer-term technical strategy for the filesystem layer in a way that fits with Product and Business goals, and rally the team behind it.

Docker considers visa sponsorship on a case-by-case basis based on business needs.

Compensation & Equity

United States: $160,900 – $260,700 + equity

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Posting Information

  • Open vacancy: This posting is for an existing open role.

  • AI in hiring: Docker may use AI-assisted tools during our recruiting process.

  • Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.

______________________________________________________________________

Perks & 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.

  • Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.

  • Parental leave – 16 weeks of paid parental leave after six months of employment.

  • Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.

  • Comprehensive benefits – Medical, retirement, and paid holidays vary by country.

  • Docker swag – Because representing the whale never gets old.

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.

#LI-REMOTE

How we rate this

Senior Software Engineer, Sandboxes (London or East Coast Preferred) at Docker rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsVirtualizationRuntime EnvironmentsSecurityInfrastructureSoftware EngineeringClaudeClaude Code

Also common in software engineer jobs at this level

Pay

This job starts at
$161k
Typical software engineer job
$168k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where virtualization was part of your work. What did you do?
  3. Tell me about a project where runtime environments was part of your work. What did you do?
  4. Tell me about a project where security was part of your work. What did you do?
  5. Tell me about a project where infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Virtualization, Runtime Environments, Security, and Infrastructure. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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