Cloud Dev AI Ops Engineer (6012)

Role Overview

Cloud DevAIOps Engineer (Mid–Senior) to design, build, and operate cloud infrastructure and delivery pipelines. You’ll work across multiple data-center environments, drive automation and integrations, and support GenAI transformation initiatives.

Responsibilities

• Design, provision, and operate scalable cloud infrastructure on AWS / Azure / GCP.
• Build and maintain CI/CD pipelines to automate build, test, and deployment workflows.
• Deploy and manage containerized workloads with Docker and Kubernetes (EKS/AKS/GKE/Cloud Run).
• Implement monitoring, alerting, and observability using Prometheus, Grafana, and Datadog.
• Apply cloud security best practices: IAM, secrets management, and compliance controls.
• Optimize costs via resource right-sizing, autoscaling, and tagging strategies.
• Partner with developers to improve developer experience and platform reliability.
• Maintain infrastructure as code (IaC), 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 for scalable distributed or event-driven systems.
• Hands-on production experience on GCP, AWS, or Azure.
• Linux administration and multi-cloud networking fundamentals (DNS, VPCs, load balancing).
• Strong production experience with Docker and Kubernetes.
• Proficiency with Terragrunt/Terraform (or equivalent IaC tooling).
• CI/CD experience with GitHub Actions, GitLab CI, or similar.
• IAM/authZ experience (mentions OAuth/AuthZ, and Ory Hydra / Cerbos).
• Scripting skills in Python and/or Bash.
• Bachelor’s degree in CS/IS or related field, or equivalent technical experience.

Nice to Have / Preferred

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