Key Responsibilities :

- Design, build, and manage AWS cloud infrastructure, Kubernetes platforms, Terraform, networking, and cloud services.

- Develop and optimize CI/CD pipelines, Infrastructure as Code, deployment automation, release processes, and security validation.

- Provision, deploy, monitor, and manage Databricks, AI/ML, and Generative AI workloads.

- Support MLOps and LLMOps processes, including deployment, monitoring, versioning, rollback, and operational readiness.

- Implement monitoring, observability, alerting, anomaly detection, and AIOps capabilities.

- Manage incident response, troubleshooting, root cause analysis, and production reliability.

- Develop automation using Python, Bash, APIs, and event-driven services.

- Implement DevSecOps practices across cloud infrastructure, applications, and deployment pipelines.

- Ensure cloud security, responsible AI, governance, compliance, and audit controls are embedded across platforms.

- Collaborate with engineering, data, AI/ML, security, and product teams to improve platform reliability and delivery efficiency.

- Drive continuous automation and optimization of cloud and engineering processes.

Required Technical Skills :

- AWS

- Kubernetes

- Terraform

- CI/CD

- Python / Bash

- Cloud Infrastructure & Networking

- Monitoring & Observability

- Cloud Security

- Databases & Troubleshooting

- Generative AI

- Agentic AI

- DevOps / SRE / Platform Engineering

Required Candidate Profile :

- 5+ years of experience in DevOps, Cloud Engineering, SRE, or Platform Engineering.

- Strong hands-on experience with AWS, Terraform, Kubernetes, CI/CD, and Python/Bash.

- Experience with monitoring, observability, troubleshooting, databases, and cloud security.

- Hands-on experience with Generative AI and Agentic AI technologies.

- Experience using AI-powered tools for engineering productivity, automation, and development workflows.

- Strong understanding of cloud-native infrastructure and automation.

- Good communication and English language skills.

- Must be legally authorized to work in India without sponsorship.

Good to Have :

- Databricks

- AIOps

- MLOps / LLMOps

- DevSecOps

- Advanced observability

- AI agents, RAG, LLM APIs, and prompt engineering

- AI governance and responsible AI

- Harness

- Microservices and serverless architectures

- AWS, Kubernetes, Terraform, Databricks, or Cloud Security certifications

- Master's degree in a relevant STEM discipline