ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000

Description

  • Own a production GitOps deployment API and CLI used by many services to ship changes reliably.
  • Maintain and extend self-service deployment tooling built on ArgoCD ApplicationSets and Helm for GCP Cloud Run.
  • Own a shared TypeScript package ecosystem and ingress/edge-routing layer, keeping consumers unblocked and contracts stable.
  • Build high-performance internal tools and APIs in Go to manage infrastructure metadata and lifecycle.
  • Design long-running workflows using durable execution frameworks such as Temporal to orchestrate work across Git, cloud providers, and CI/CD pipelines.
  • Develop Model Context Protocol (MCP) servers and agentic AI workflows to automate infrastructure configuration creation, upgrades, and audits.
  • Support teams when deployments fail and help stabilize production-critical systems.
  • Document unfamiliar systems, prioritize work during ownership transitions, and improve platform reliability over time.

Requirements

  • 8+ years of software engineering experience, or equivalent, including building and operating infrastructure, platform, or delivery systems.
  • Strong experience in delivery/GitOps tooling such as ArgoCD, ideally ApplicationSets, Helm, GitHub Actions, and declarative Git-driven deployment workflows.
  • Strong experience building backend services and shared libraries at scale for consumption by many other services.
  • Proficiency in Go or TypeScript/JavaScript, with hands-on experience in or willingness to ramp quickly on the other.
  • Experience with TypeScript/Node, NestJS, and Nx monorepos for the delivery systems, or Go for the automation platform core.
  • Understanding of software architecture, design patterns, and scalable RESTful APIs.
  • Experience with Kubernetes, serverless runtimes such as GCP Cloud Run or equivalent, and major cloud providers including GCP and AWS.
  • Comfort inheriting an unfamiliar production-critical system from a transitioning team and stabilizing it before making major changes.
  • Preferred: experience operating a deployment platform relied on by other teams.
  • Preferred: experience with Temporal or similar workflow engines such as Cadence or Airflow for stateful distributed systems.
  • Preferred: proficiency with Terraform, including modular reusable modules.
  • Preferred: practical experience with agentic AI, MCP (Model Context Protocol), or A2A (Agent-to-Agent) frameworks.

Interested in this position?

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