DevOps Engineer — AI Platform

About the Role

We’re looking for a hands-on DevOps Engineer to own and evolve the cloud platform behind our AI products. You’ll be responsible for building, operating, and improving a production-grade, multi-cloud environment with a strong focus on reliability, cost efficiency, and security.

This is an ownership role — you build it, you run it, and you improve it.

What You’ll Do

• Operate and scale production Kubernetes environments (EKS) across multiple stages
• Manage deployment workflows using GitOps practices (ArgoCD)
• Build and maintain observability (Prometheus, Grafana)
• Improve system reliability, monitoring, and incident response
• Optimize cloud usage and continuously reduce infrastructure costs
• Strengthen security, access control, and SSO across systems
• Take ownership of cloud environments (IAM, accounts, permissions, integrations)
• Support cross-cloud integrations and external services
• Automate repetitive processes and improve developer experience
• Document systems and onboard engineers effectively

Requirements

• 4+ years of hands-on DevOps / cloud infrastructure experience in production
• Strong experience with AWS (including EKS)
• Solid Kubernetes and GitOps experience (ArgoCD or similar)
• Experience with monitoring systems (Prometheus, Grafana)
• Experience managing identity and access (SSO, IAM)
• Scripting skills (Python, Bash, or similar)
• Good understanding of networking, security, and system design
• Strong ownership mindset and ability to drive initiatives end-to-end

Nice to Have

• Experience with AI/ML infrastructure
• Background in cost optimization (FinOps)
• Experience with real-time or streaming systems

Who You Are

• Practical, detail-oriented, and cost-aware. You take ownership not only of systems but also of the cloud environment as a whole — from infrastructure to access and governance. You automate relentlessly and build systems others can rely on.