AWS SRE Lead

• Lead SRE practices and initiatives to improve availability, reliability, scalability, performance, and operational efficiency of AWS-based applications and infrastructure.
• Design and implement highly available and resilient AWS architectures, with strong understanding of services such as EC2, ECS/EKS, Lambda, VPC, IAM, S3, RDS/Aurora, CloudFront, Route 53, CloudWatch, and other core AWS services.
• Drive DevOps automation and Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation/CDK, Ansible, and scripting languages such as Python or Shell.
• Design and manage CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar DevOps platforms, with focus on deployment automation and release reliability.
• Establish and improve observability and monitoring practices, including metrics, logs, traces, dashboards, alerting, and proactive detection using tools such as CloudWatch, Prometheus, Grafana, ELK/OpenSearch, or equivalent technologies.
• Own and drive incident, problem, and change management processes, including production troubleshooting, root-cause analysis (RCA), corrective actions, and prevention of recurring incidents.
• Define and track SRE metrics and practices, including SLIs, SLOs, SLAs, error budgets, availability, latency, MTTR, MTBF, and capacity/utilization metrics.
• Implement automation and self-healing mechanisms to eliminate repetitive operational activities, reduce manual intervention, and improve MTTR and overall system reliability.
• Develop and maintain backup, disaster recovery, business continuity, scalability, and capacity-management strategies for critical AWS workloads and applications.
• Lead and mentor SRE/DevOps engineers, conduct technical reviews, establish engineering standards, collaborate with development/security/architecture teams, and continuously improve the organization's DevOps and SRE maturity.

• Cloud: AWS
• IaC: Terraform, CloudFormation, AWS CDK
• CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps
• Containers: Docker, Kubernetes/EKS, ECS
• Monitoring & Observability: CloudWatch, Prometheus, Grafana, ELK/OpenSearch
• Configuration/Automation: Ansible
• Scripting: Python, Shell/Bash
• Version Control: Git, GitHub/GitLab/Bitbucket
• Networking: VPC, Load Balancers, Route 53, CloudFront, DNS, TCP/IP
• SRE: SLI/SLO/SLA, Error Budgets, Incident Management, RCA, Capacity Planning, DR

Preferred: AWS certification such as AWS Solutions Architect, DevOps Engineer, or SysOps Administrator, along with hands-on experience managing large-scale production AWS environments.