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Salary
$200k – $270k per year
Location
Hybrid (San Francisco, United States)
Seniority
Staff
Visa
H-1B filings in 12 months: 11 · for this role: 10
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 3, 2026. Vapi scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Vapi is an artificial intelligence technology company headquartered in San Francisco, California, and founded in 2020. The company provides a developer platform for building, testing, and deploying conversational voice AI agents that integrate speech-to-text, large language models, and text-to-speech technologies. It serves enterprise clients across sectors such as healthcare, finance, and retail, offering scalable infrastructure for automating customer support and sales operations.

Vapi (/ˈVɑːpi/):

  • 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

  • Try talking to Vapi now!

Why We’re Hiring This Role:

  • Three of our worst recent incidents - Nov 29 config rollout, Dec 23 duplicate messages, Oct 13 egress proxy - were resolved by rollback. That’s the SDLC gap this role closes. Vapi engineers are your users, and the deploy pipeline, preview environments, cell-creation tooling, and oncall tooling are products with SLAs, docs, and feedback loops.

  • You’ll own progressive delivery (canary, blue/green, automated rollback, soak periods), the GitOps story across multiple clusters and regions, and the on-demand environment tooling that’s on the Q3 roadmap. Success is measured by how fast every other team ships safely.

What You’ll Do:

  • 30 Day: Get fluent in the Pulumi stacks, the ArgoCD setup, and GitHub Actions pipelines. Sit with engineers from agents and FDE teams to find the top 3 deploy pain points. Land a quality-of-life improvement to the deploy pipeline.

  • 60 Day: Own progressive delivery end-to-end - canary, automated rollback, soak - for at least one critical service path. Ship the first version of cell-creation tooling or preview environments. Make the deploy pipeline measurably faster (lead time, MTTR for failed deploys).

  • 90 Day: Roll out progressive delivery as the default across services. Establish SLAs and a feedback loop with engineering teams. Own the developer-platform roadmap and partner with Infra and SRE on cell creation, multi-region rollouts, and oncall tooling.

Who You Are:

Must-haves

  • You have a platform-as-a-product mindset - you treat internal engineers as customers, with SLAs, docs, and feedback loops, not tickets and ad-hoc help.

  • You’ve operated Pulumi (TypeScript) or Terraform at scale (40+ stacks, multi-region) and you’ve felt the pain when IaC sprawl gets ahead of you.

  • You’ve run ArgoCD or equivalent GitOps for deploying applications across multiple clusters.

  • You’ve built progressive delivery in production - canary, blue/green, automated rollback, soak periods. You can describe a real rollout that automated rollback caught.

  • You’ve designed CI/CD pipelines (GitHub Actions preferred) for many services and Dockerfiles, not just one repo.

  • You’ve built deploy tooling for on-demand environments - preview envs, dev deployments, or cell creation.

Nice-to-haves

  • You’ve written Go for platform services (Vapi’s canary-manager is Go).

  • You’ve operated developer platforms at a mid-stage infra-heavy company or a DevEx team at a larger shop.

Tech stack you’ll work in

  • Languages: TypeScript (primary, for Pulumi and tooling), Go (for canary-manager and platform services), Bash.

  • IaC: Pulumi (TypeScript) at scale (40+ stacks across regions), Terraform.

  • GitOps and deploy: ArgoCD (multi-cluster), GitHub Actions, 15+ Dockerfiles.

  • Progressive delivery: canary, blue/green, automated rollback, soak periods (canary-manager Go service).

  • Orchestration: Kubernetes on EKS (multi-cluster, multi-region).

  • Vapi services you’ll touch: canary-manager, cell-creation tooling, preview env tooling.

Where you likely come from

  • Vercel, Render, Railway, Fly, Temporal, Cockroach (mid-stage infra-heavy), or DevEx/Platform teams at Stripe, Shopify, Airbnb, or Block.

  • Weak fit: classic AWS sysadmin, or someone whose CI/CD experience is mostly Jenkins GUI-level.

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