Senior Software Engineer, Sandboxes

About the role

The Docker Sandboxes team is building the runtime that allows AI coding agents to run safely on a developer's machine using isolated microVM sandboxes. This role involves designing and developing secure, isolated runtime environments and owning infrastructure in production at scale. The successful candidate will drive technical strategy and collaborate across teams to ensure autonomous workflows are trustworthy.

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.

Required skills

• Software engineering
• Runtime infrastructure
• Security boundaries
• Isolation
• Technical leadership
• Developer tools

Nice to have

• Agentic software development
• macOS
• Windows
• Linux

Qualifications

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

Benefits

• Generous PTO
• Whaleness Days
• Home office support
• Technology stipend
• Learning and development stipend
• Parental leave
• Equity

About the Company

Docker is a developer tooling brand trusted by over 20 million monthly users and over 20 billion container image pulls. The company is a globally distributed, remote-first team building tools that define how software is built and delivered, with a focus on providing secure infrastructure for autonomous AI workflows.