Staff DevOps Engineer, AI Cloud Platform

Moveworks

Mountain View (CA)

Hybrid

USD 167,000 - 291,000

Full time

29 hours ago
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Job summary

Moveworks in Mountain View is seeking a Staff Software Engineer, DevOps to build and scale our AI cloud infrastructure and developer platform. You will closely collaborate with platform, ML, search, data and frontend teams to shape DevOps roadmap and lead cross-functional initiatives.

You will design, implement, and manage cloud infrastructure across regions, ensuring security, performance, observability, resilience, and cost efficiency, while delivering automated provisioning and deployment for

Qualifications

  • 5+ years of experience in DevOps or software engineering infrastructure.
  • Experience designing and building AWS cloud infrastructure with security controls.
  • Experience with Kubernetes, Istio, and CI/CD tooling.

Responsibilities

  • Build and scale Moveworks AI cloud infrastructure and developer platform.
  • Collaborate with platform, ML, search, data and frontend teams to guide DevOps roadmap.
  • Design and manage cloud infrastructure across regions for security, scalability, observability, and cost.
  • Build and manage CI/CD pipelines with IaC to provision Moveworks stack across environments.
  • Work with security team to enhance infrastructure security posture.

Skills

Ownership & leadership
Cloud infrastructure design
AWS expertise
Networking (VPN/VPC/DNS)
Kubernetes & Istio
Security & disaster recovery
CI/CD tooling (Jenkins, Terraform, Ans
Automation & IaC
Startup pace

Tools

Jenkins
Terraform
Ansible
Helm
CloudFormation
Kubernetes
Istio

Job description

Moveworks in Mountain View is seeking a Staff Software Engineer, DevOps to build and scale our AI cloud infrastructure and developer platform. You will closely collaborate with platform, ML, search, data and frontend teams to shape DevOps roadmap and lead cross-functional initiatives.

You will design, implement, and manage cloud infrastructure across regions, ensuring security, performance, observability, resilience, and cost efficiency, while delivering automated provisioning and deployment for

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