Roles and Responsibilities :

- Design, deploy, and maintain secure, scalable AWS cloud infrastructure, Kubernetes platforms, Terraform modules, and core networking/services to support reliable data engineering operations.

- Implement, manage, and optimize CI/CD pipelines, Infrastructure as Code, deployment automation, security validation, automated testing, and release reliability practices.

- Operate Databricks, AI/ML, and generative AI workloads through platform administration, environment provisioning, deployment automation, monitoring, rollback, MLOps, and LLMOps practices.

- Implement monitoring, observability, AIOps, anomaly detection, event correlation, alerting, incident triage, log analysis, root-cause analysis, and remediation recommendations.

- Build automation using Python, Bash, APIs, and event-driven services to reduce manual effort, improve operational efficiency, and strengthen platform reliability.

- Apply cloud security, DevSecOps, responsible AI, governance controls, human approvals,



auditability, and documentation practices across AI-enabled operational workflows.

Job Requirements :

- 5-8 years of experience in AWS DevOps engineering with expertise in IAC (Infrastructure as Code) tools like Terraform.

- Solid understanding of AWS services such as EC2, EKS, ECS, S3, RDS, Lambda etc.

- Must have AWS infrastructure, Terraform, Kubernetes, CI/CD, Python/Bash, monitoring, cloud security, database, troubleshooting, communication, AI-assisted engineering, generative AI fundamentals, and responsible AI evaluation skills.

- Must be hands-on with Generative AI (GenAI) and Agentic AI, with demonstrated daily use of AI-powered tools to enhance productivity, automate workflows, and solve business problems.

- Experience with containerization using Docker and orchestration using Kubernetes.

📌 Senior AWS DevOps Engineer (Gurugram)
🏢 Edge Executive Search
📍 Gurugram