Software Engineer | Developer Experience

About the role

ABOUT VOLTA

Volta is the category-defining, fully vertically integrated AI infrastructure platform – from capital to clusters to software, under a founder-led enterprise. Our mission is The Utility of Compute™: AI infrastructure as dependable and available as electricity, for every organization that needs it. Launched with a $10B strategic partnership with one of the leading frontier AI labs, a Series A led by Andreessen Horowitz, and a $5B AI Infrastructure Fund, Volta is building the infrastructure layer of the AI era from the ground up. We are 100+ people across London, Palo Alto, and New York, with rapid growth expectations to hundreds.

About The Role

Volta aims to build self-driving data centers: Kubernetes-native platforms that are designed for near-total automation to make AI compute secure, reliable, and scalable.

As a software engineer on a new Developer Experience team, you will build tools, workflows, and agents that help our engineers use AI effectively across the entire product lifecycle to build these data centers. Your scope spans the full software lifecycle from foundational tooling such as development environments, CI/CD, and testing infrastructure to AI-native capabilities such as MCP servers, coding agents, and evaluation systems.

Success in this role is measured by sustained adoption, faster feedback loops, higher-quality software, reduced toil, and more engineering work moving safely from intent to production.

How can we enable our engineers to move faster, with better quality, and better security? This is your motivating question.

What You Will Be Doing

- Defining and executing Volta’s developer experience roadmap for software engineering, including AI enablement.

- Building the development platform, which may span build systems, dependency management, integration and test environments, etc.

- Working with SOTA AI-assisted software engineering across harnesses, evals, verification loops, and observability.

- Integrating agentic workflows into developer environments, source control, CI/CD, observability, and incident-response systems.

- Building agent infrastructure, including MCP servers, tool APIs, context and retrieval systems, permissions, auditability, and human approval paths.

- Collaborating with Security Engineering to establish secure practices across governance, model access, data handling, etc.

- Continuously improving the entire system based on engineer feedback.

What You Bring

- 4+ years in software, platform, infrastructure, AI, or developer tooling.

- Experience making tooling secure by default, e.g. with supply chain security, secrets management, and least-privilege access.

- Experience building test clusters and cluster management infrastructure to support developer environments.

- Expert knowledge of SOTA AI-assisted software engineering across harnesses, evals, verification loops, and observability.