Staff Software Engineer, Builder Tools

New

United States, Remote OpportunityFull-TimeStaff

Salary212000 - 286000 USD per year

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Job Details

Strong software engineering fundamentals and a track record of leading the design, delivery, and operation of production-quality internal platforms or developer tooling.
Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining best practices and driving adoption across teams.
Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with the ability to make pragmatic, high-leverage technical decisions.
Experience architecting and scaling workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar) used across teams or the organization.
Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability, security, or long-term maintainability.
Comfort leading cross-functional collaboration, including partnering with non-traditional developers and translating ambiguous needs into scalable, well-adopted solutions.
Ability to use data and qualitative feedback together to define success metrics, prioritize effectively, and measure impact.
Clear written communication, including documentation that enables self-service and scales knowledge across teams.

Lead the design, build, and evolution of internal engineering tooling that improves builder flow and reduces friction across the company.
Define best practices and drive adoption of AI agentic coding tools through guidance, automation, and hands-on enablement.
Architect, develop, and operate internally facing agents that scale across teams and use cases.
Own and continuously improve developer workflows, including guardrails, evaluation frameworks, and guidance that enables safe and effective adoption of new tooling.
Own the strategy, development, and operation of our internal agent platform, setting direction and ensuring reliability and scalability.
Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes.
Establish and drive measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact, inform prioritization, and guide iteration.
Create and maintain clear documentation, playbooks, and enablement materials, and proactively drive adoption of paved roads across the organization.
Mentor and support engineers on the team, raising the bar on technical design, execution, and use of AI-enabled tooling.
Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience.

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