# Member of Technical Staff, Agentic Release Engineer at Vapi

- Company: Vapi
- What the company does: Build, test, and deploy advanced voice AI agents in minutes with Vapi. The platform for developers creating conversational voice AI. Backed by Bessemer, Peak XV and Y Combinator.
- Company website: https://vapi.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: Remote
- Pay: $235K to $264K base salary per year (USD)
- Posted: 2026-09-22
- Apply by: 2026-11-06
- Apply: https://jobs.ashbyhq.com/vapi/250ac759-97a6-46b8-ad7c-9bb4f223dd26
- Page: https://www.1752.vc/careers/jobs/vapi-member-of-technical-staff-agentic-release-engineer/

## About the role

30 Days: Map Vapi’s release architecture end to end. Partner with product and infrastructure engineers, baseline CI/test/deploy performance, identify the biggest failure modes, and ship an initial improvement. 60 Days: Own the release-tooling roadmap and operating health. Remove the costliest CI/deploy bottlenecks, improve observability and diagnosis, and automate slow or failure-prone workflows.

## What they're looking for

- Evidence of owning critical CI/CD or release infrastructure at meaningful scale and driving measurable cross-team improvements. We care about impact, not a specific number of years
- Strong distributed-systems fundamentals and the ability to diagnose failures across build, test, deployment, and infrastructure layers
- Hands-on experience operating Kubernetes-based delivery systems and infrastructure-as-code tooling such as Argo CD, Terraform, and Atlantis or comparable systems
- A habit of automating repetitive work, investing in testing and passive defenses, and using data to prove that a system became faster or more reliable
- Deep curiosity and the ability to gather context quickly, form a clear point of view, and keep pace as the architecture and product evolve
- A low-ego teammate who communicates clearly and owns outcomes. Familiarity with AI coding tools is expected, experience as an SRE, with development frameworks like multi-agent workflows, and programming languages like TypeScript and Go are a plus

Tags: Engineering