Cloud DevAI Ops Engineer

Role Overview

Cloud DevAIOps Engineer to design, build, and operate cloud infrastructure and delivery pipelines. You will drive automation, integrations, and support GenAI-related transformation efforts across multiple data center environments.

Responsibilities

• Design, provision, and manage scalable cloud infrastructure across AWS / Azure / GCP
• Build and maintain CI/CD pipelines for automated build, test, and deployment
• Deploy and manage containerized workloads using Docker and Kubernetes (EKS / AKS / GKE / Cloud Run)
• Implement and maintain monitoring, alerting, and observability (e.g., Prometheus, Grafana, Datadog)
• Enforce cloud security best practices: IAM, secrets management, and compliance controls
• Optimize cloud costs via resource right-sizing, autoscaling, and tagging strategies
• Collaborate with developers to improve developer experience and platform reliability
• Maintain infrastructure as code, runbooks, and architectural documentation
• Support incident response, perform root cause analysis, and participate in on-call rotations

Requirements

• 3–5+ years in Cloud/DevOps/Infrastructure engineering building scalable distributed/event-driven systems
• Hands-on production experience supporting workloads on GCP, AWS, or Azure
• Linux administration and multi-cloud networking fundamentals (DNS, VPCs, load balancing)
• Strong Docker and Kubernetes production experience
• Proficiency with Terragrunt/Terraform (or equivalent IaC)
• CI/CD experience with GitHub Actions, GitLab CI, or similar
• IAM and OAuth/AuthZ deployment experience (e.g., Ory Hydra, Cerbos, or equivalent)
• Scripting skills in Python and/or Bash
• Bachelor’s degree in CS/IS or related field (or equivalent experience)

Preferred / Nice to Have

• Cloud certifications (e.g., GCP Cloud Engineer, AWS Solutions Architect, AZ-305, CKA)
• Experience with Kubernetes infrastructure and event-driven systems (Kafka, AWS SQS, GCP Pub/Sub/Tasks)
• Exposure to GenAI trends/tools (e.g., Claude, Gemini, Windsurf, Google ADK, MCPs)
• Exposure to SAP ERP / SAP TM on HANA
• GitOps (GitHub Actions + ArgoCD/Flux)
• DevSecOps tooling (e.g., Aikido, Checkov, Snyk, Trivy)
• FinOps / cloud cost management
• Database experience (PostgreSQL, ClickHouse)
• On-prem hardware management (e.g., Proxmox)