Software Engineer | Developer Experience

Volta•Palo Alto, CA

About The Position

Volta is hiring a Software Engineer for its new Developer Experience team. The team builds tools, workflows, and agents that help engineers use AI effectively across the product lifecycle while developing Kubernetes-native platforms for highly automated data centers. The role spans foundational developer tooling—such as development environments, CI/CD, and testing infrastructure—and AI-native capabilities, including MCP servers, coding agents, and evaluation systems. Success is measured by sustained adoption, faster feedback loops, higher-quality software, reduced toil, and more engineering work moving safely from intent to production. The engineer will define and execute the developer experience roadmap, build the development platform, integrate agentic workflows into engineering systems, and create secure agent infrastructure. They will collaborate with Security Engineering and continuously improve the system in response to engineer feedback.

Requirements

At least 4 years of experience in software, platform, infrastructure, AI, or developer tooling.
Experience making tooling secure by default, such as through supply-chain security, secrets management, and least-privilege access.
Experience building test clusters and cluster-management infrastructure to support developer environments.
Expert knowledge of state-of-the-art AI-assisted software engineering across harnesses, evaluations, verification loops, and observability.
Awareness of emerging industry learnings and a track record of responding quickly to promising innovations.
Good judgment and discipline in balancing exploration of emerging technology with exploitation of proven technologies.
Experience turning prototypes into reliable tools used by other engineers.

Responsibilities

Define and execute Volta’s developer experience roadmap for software engineering, including AI enablement.
Build the development platform, potentially spanning build systems, dependency management, integration environments, and test environments.
Work with state-of-the-art AI-assisted software engineering across harnesses, evaluations, verification loops, and observability.
Integrate agentic workflows into developer environments, source control, CI/CD, observability, and incident-response systems.
Build agent infrastructure, including MCP servers, tool APIs, context and retrieval systems, permissions, auditability, and human approval paths.
Collaborate with Security Engineering to establish secure practices for governance, model access, and data handling.
Continuously improve the system based on engineer feedback.