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Common DevOps title, mid-level experience range, and metro location increase candidate competition.
Core cloud, Kubernetes, CI/CD, and IaC skills are highly transferable across industries despite AI-tool preference.
Explicit 1–5 years plus mandatory AI-tool fluency and specific cloud/Kubernetes/IaC skills increase filtering strictness.
Own and improve CI/CD pipelines and infrastructure code for production environments within a growing AI product platform.
Deploy and manage containerized applications on Azure Kubernetes Service with responsibilities including incident response and monitoring.
Drive security hygiene, maintain operational tooling (DNS, version control, ticketing), and contribute to compliance evidence for SOC 2/ISO 27001/GDPR audits.
1–5 years experience in DevOps, SRE, or infrastructure roles with production environment ownership.
Onsite in Hyderabad location required.
Strong hands-on experience with Azure fundamentals (compute, networking, IAM) and container orchestration using Docker and Kubernetes.
Proven use of AI-assisted development tools (e.g., Claude Code, GitHub Copilot) integrated into daily DevOps workflows.
Operationally independent engineer positioned between junior and lead role, capable of owning real pipelines and environments without close supervision.
Experienced in infrastructure-as-code (Terraform or Bicep) and production MongoDB administration including Mongo Atlas.
Comfortable managing multi-tool environments involving CI/CD systems (Azure DevOps, GitHub Actions), monitoring, logging, and security compliance in an AI-driven enterprise context.