Job Responsibilities:

• Design and implement highly available, fault-tolerant, and scalable infrastructure on AWS.
• Build and manage CI/CD pipelines (GitLab CI, CircleCI) using best practices such as blue-green and canary deployments.
• Define and implement Infrastructure as Code using Terraform (modules, state management, remote backends, workspaces).
• Manage and optimize Kubernetes clusters (deployment, scaling, troubleshooting, RBAC, secrets).
• Implement monitoring, observability, and alerting with Prometheus, Grafana, Datadog, ELK, Fluentd.
• Establish SLOs, SLIs, SLAs and ensure system reliability through proactive alerting.
• Apply security best practices (IAM, RBAC, network policies, secret rotation).
• Automate operational tasks with Bash, Python, or Go scripting.
• Troubleshoot Linux system and network issues (CPU, memory, disk, DNS, performance).
• Partner with product and engineering teams to enable GitOps workflows and continuous delivery.
• Drive cloud cost optimization strategies without compromising reliability.
• Host and manage apps in Ngnix and apache web servers

Requirements:

• Hands-on expertise with AWS (EC2, S3, IAM, WAF, CDN, Auto Scaling, Load Balancers, Lambdas, CloudWatch etc).
• Strong knowledge of Kubernetes (Pods, Deployments, Services, ConfigMaps, Helm, Ingress controllers, HPA/VPA).
• Solid understanding of Terraform (providers, modules, remote state, best practices).
• Experience with monitoring tools and observability frameworks.
• Deep Linux troubleshooting and scripting skills.
• Deep knowledge of Ngnix and apache
• Familiarity with CI/CD tools and deployment automation best practices.
• Proven ability to design and operate secure, scalable production systems.
• Strong communication skills and ability to mentor junior engineers.