Lead Engineer - Cloud Operations in Coimbatore, भारत

Role Summary : The Lead Engineer - CloudOps, DevSecOps & AI Platform Engineering will be responsible for end-to-end delivery ownership of cloud platforms, AI platforms, DevSecOps pipelines, and operational excellence for one or more programs or https://jobeax.com/link/rddyg4OzGJ5GKgAP role combines technical leadership, architecture ownership, delivery governance, AI platform management, MCP integration, and cross-team coordination, while remaining hands-on for critical systems, cloud infrastructure, Kubernetes platforms, and AI-enabled engineering https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities : Cloud Platform Ownership : - Own architecture, design, and operational stability of AWS and GCP cloud environments (Pre-Prod and Prod).- Design and maintain enterprise-grade landing zones including multi-VPC networking, IAM guardrails, logging, and security baselines.- Define and enforce high availability, scalability, and resilience strategy for cloud workloads.- Lead DR and backup strategy implementation with validated RTO/RPO compliance through testing and https://jobeax.com/link/LcEwfNHpPvfgi4Mm & CI/CD Leadership : - Own the design and continuous improvement of CI/CD pipelines for microservices, IoT workloads, serverless, and mobile-backend platforms.- Define DevSecOps standards embedding security at every stage including SAST and https://jobeax.com/link/nNuUbCbKa3KoIBj3 & Platform Engineering : - Lead Kubernetes platform engineering and container https://jobeax.com/link/iWQwvgsoDzazEfdf Engineering & Incident Management : - Own SLAs, SLOs, and operational KPIs for hosting platforms.- Lead major incident response, root-cause analysis, and preventive remediation.- Implement proactive reliability and performance improvement https://jobeax.com/link/A9GdnnEhWO4u4vxj Excellence & Optimization : - Monitor and improve key DevOps and SRE metrics : deployment frequency, failure rate, MTTR, lead time to https://jobeax.com/link/5U27ttXf0DkISaSE Skills : - Cloud : AWS and/or GCP (advanced, hands-on)- DevSecOps : Jenkins, GitHub/Gerrit, SonarQube/SAST, Vault, Trivy/Clair, OWASP- IaC : Terraform (expert), Helm, Ansible- Containers : Docker, Kubernetes (EKS/ECS or GKE)- Scripting : Shell & Python (mandatory)- Monitoring : ELK, Grafana, Prometheus, Splunk/Dynatrace- AI & MCP : Model Context Protocol (MCP), AI Agent Frameworks and AI-driven automation.- Networking : VPCs, Load Balancers, API Gateway, VPNs, WAF, DNSMandatory Requirements : - AWS or GCP Solution Architect certification (Professional level).- Certified Kubernetes Administrator (CKA).- Exposure to MLOps (SageMaker, Bedrock) or Data Platforms (Delta Lake). (ref:hirist.tech)