About the company
Vapi is Voice AI that resolves, not transfers. Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life. Trusted by 1 million developers building the future of voice agents. Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised.
About the role
Vapi ships hundreds of pull requests a day while serving some of the world’s largest enterprises. Every release must stay fast, safe, observable, and predictable at scale. Our CI and deployment systems are critical product infrastructure. We need a senior/staff engineer to remove bottlenecks, repair fragile deploy paths, and increase confidence without slowing product teams. You’ll own the systems behind safe releases, including Argo CD, Terraform, and Atlantis—and automate the reliable path. This role focuses on CI/CD, testing, and deployment safety, not primary incident response. This is a full-time, hybrid role in San Francisco.
Responsibilities
- 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.
- 90 Days: Establish a repeatable model for safe, fast releases with measurable gains in validation time, deploy speed, and reliability. Deliver self-service workflows and guardrails, and set the longer-term release-infrastructure roadmap.
Requirements
- Evidence of owning critical CI/CD or release infrastructure at meaningful scale and driving measurable cross-team improvements
- 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
- 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
Conditions
- $235,000–$280,000 base salary, plus meaningful equity ownership
- Comprehensive health coverage: medical, dental, and vision plans
- Quarterly off-sites
- Flexible time off
- Catered meals, transportation, equipment, and a $10k annual L&D budget