Key Responsibilities
Design and manage AWS, Kubernetes, Terraform, networking, and cloud infrastructure.
Build and optimize CI/CD, IaC, deployment automation, security validation, and release processes.
Manage Databricks, AI/ML, GenAI workloads, including provisioning, deployment, monitoring, MLOps/LLMOps and rollback.
Implement monitoring, observability, AIOps, alerting, anomaly detection, incident management and RCA.
Develop automation using Python, Bash, APIs, and event-driven services.
Apply DevSecOps, cloud security, responsible AI, governance and audit controls.

Must-Have Skills
5+ years in DevOps / Cloud Engineering / SRE / Platform Engineering
Robust AWS, Terraform, Kubernetes, CI/CD, Python/Bash
Experience with monitoring, troubleshooting,



databases and cloud security
Hands-on Generative AI and Agentic AI
Daily use of AI-powered tools for engineering productivity and automation
Positive communication and English skills
Must be legally authorized to work in India without sponsorship

Positive to Have
Databricks, AIOps, MLOps/LLMOps, DevSecOps, observability
AI agents, RAG, LLM APIs, prompt engineering and AI governance
Harness, microservices, serverless
Relevant AWS / Kubernetes / Terraform / Databricks / Cloud Security certifications
Masters in a relevant STEM field

📌 Devops/platform Engineer Aws Gurugram (India)
🏢 VBeyond
📍 India