Senior DevOps Engineer

Senior Devops Engineer

Required Skills & Experience • Minimum 12+ years in DevOps / Platform Engineering / SRE • Strong expertise in AWS cloud platform • Proven experience with Kubernetes (Amazon EKS) in production environments • Strong experience in end-to-end Kubernetes platform management • Hands-on expertise with Infrastructure as Code (Terraform, CDK, Ansible) • Experience with: o Kafka / MSK o RDS (PostgreSQL/MySQL) o Redis / ElastiCache o S3, EC2, Elasticsearch/OpenSearch • Solid understanding of distributed systems and microservices architectures • Strong knowledge of AWS networking (VPC, subnets, routing, security) • Experience with CI/CD automation • Hands-on experience with observability tools (Datadog, Prometheus, Grafana) • Experience handling: o High-throughput, high-volume systems o Mission-critical production platforms • Strong knowledge of cloud security, IAM, and compliance practices Nice to Have • Experience with multi-cloud (Azure/GCP) • Familiarity with event-driven / streaming architectures • Exposure to OTA, IoT, or large-scale distributed backend systems Key Responsibilities • Design and manage AWS cloud infrastructure for backend platforms on Kubernetes (EKS) • Own and operate the Kubernetes platform end-to-end (provisioning, upgrades, scaling, and maintenance), with deep knowledge of Kubernetes architecture, core components, and operational best practices to ensure reliability, scalability, and performance in production environments. • Implement Infrastructure as Code using Terraform, AWS CDK, Ansible, or Serverless • Manage AWS services: AWS EKS(Kubernetes) , AWS MSK (Kafka), S3, RDS, EC2, Redis Elasticsearch/OpenSearch • Design VPC architecture, networking, and secure connectivity (peering, routing) • Build and maintain CI/CD pipelines and deployment automation • Implement observability (monitoring, logging, alerting) using Datadog, Prometheus, Grafana • Ensure security best practices, IAM, encryption, and compliance readiness • Optimize systems for performance, scalability, reliability, and cost efficiency • Support high-volume, distributed, mission-critical systems