Platform DevOps Engineer

We are looking for a Platform DevOps Engineer to help design, build, and operate the platforms that power AI Co‑Workers. This is a hands‑on role for an engineer who enjoys owning reliability end‑to‑end and working closely with product, AI, and engineering teams.

The role

• Design, build, and operate reliable production infrastructure supporting AI Co‑Workers
• Own Kubernetes‑based platforms used to deploy and run AI workloads
• Build and maintain infrastructure as code via GitOps methodology using Terraform/Terragrunt
• Maintain reusable GitHub Actions CI/CD workflows for Docker image builds, Terraform plan/apply gates, and cross-repo deploys
• Implement and maintain Helm‑based deployment workflows leveraging GitOps tools and technologies (ArgoCD)
• Define, measure, and improve system reliability using SLIs, SLOs, and SLAs
• Reduce operational toil through automation and engineering improvements
• Build and improve observability across monitoring, logging, and alerting
• Partner closely with engineers to ensure systems are resilient, scalable, and secure
• Operate across build, deploy, and operate phases of the software lifecycle
• Troubleshoot and remediate issues across a highly variable, multi-layer technology stack
• Contribute to product feature enhancements through the design and implementation of architectural improvements of the technology stack, which must satisfy requirements for resiliency, security and compatibility across multiple cloud providers

Must have criteria

• Hands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes
• Hands‑on Terraform/Terragrunt experience for infrastructure provisioning and automation
• Hands‑on Helm experience for Kubernetes application deployment
• Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby
• Direct Platform/DevOps experience or equivalent, including reliability engineering, on‑call, incident response, post‑mortems, and toil reduction

Should have criteria

• Experience working within a defined SDLC, including CI/CD, release processes, and end‑to‑end delivery from design to operations
• Hands‑on experience with at least one major cloud provider such as AWS, Azure, or Google Cloud
• Experience with ArgoCD or GitOps‑style deployment approaches
• Five or more years of relevant professional experience
• DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferable criteria

• Relevant certifications such as CKA, CKAD, cloud certifications (AWS, Azure, and/or GCP), DevOps, DevSecOps, or programming credentials