Software Engineer II, AI Developer Experience

Temporal Technologies is an innovative company focused on simplifying code and enhancing developer experiences through open source programming models. They are seeking a Software Engineer II for their AI Developer Experience Team to build and maintain internal engineering tools, support the adoption of AI coding tools, and collaborate with various teams to improve workflows and outcomes.

Responsibilities:

• Build and maintain internal engineering tooling that improves builder flow and reduces friction across the company
• Help support adoption of AI agentic coding tools through documentation, automation, and guidance
• Contribute to the development and operation of internally facing agents
• Help implement developer workflows, including guardrails and evaluation approaches that enable safe adoption of new tooling
• Support the development and operation of our internal agent platform
• Partner with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve outcomes
• Contribute to measurement and feedback loops (usage, reliability, cost, and cycle time) to help quantify impact and guide iteration
• Help maintain documentation and enablement materials that support builders using the paved roads
• Participate in on-call to support internal users

Requirements:

• Solid software engineering fundamentals, with some experience contributing to production-quality internal platforms or developer tooling
• Familiarity with modern agentic coding tools such as Codex and Claude Code
• Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java
• Experience building or contributing to workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar)
• Good judgment about when to standardize versus when to enable flexibility, with growing ability to balance friction reduction against reliability
• Comfort working cross-functionally, including with non-traditional developers, and translating their needs into usable solutions
• Ability to use data and qualitative feedback to help prioritize and measure impact
• Clear written communication, including documentation that supports self-service
• Exposure to building internal agents or supporting an agent platform
• Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics