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

- Strong 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

Good 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)
🏢 VBeyond
📍 Gurugram