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.
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.
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