AWS SRE Lead
Role Overview
Lead SRE practices for AWS-based applications and infrastructure, improving availability, reliability, scalability, performance, and operational efficiency.
Key Skills for This Role
Full Job Posting
Role overview
Lead SRE practices for AWS-based applications and infrastructure, improving availability, reliability, scalability, performance, and operational efficiency.
SRE and operations responsibilities
- Design and implement resilient AWS architectures using core services including EC2, ECS/EKS, Lambda, VPC, IAM, S3, RDS/Aurora, CloudFront, Route 53, and CloudWatch.
- Automate infrastructure and DevOps workflows using Terraform, CloudFormation/CDK, Ansible, Python, or Shell.
- Manage CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
- Build observability through metrics, logs, traces, dashboards, alerting, and proactive detection using tools such as CloudWatch, Prometheus, Grafana, and ELK/OpenSearch.
- Own incident, problem, and change management, production troubleshooting, root-cause analysis, and corrective actions.
- Track SLIs, SLOs, SLAs, error budgets, availability, latency, MTTR, MTBF, and capacity metrics.
- Develop automation, self-healing, backup, disaster recovery, business continuity, scalability, and capacity-management practices.
- Lead and mentor SRE/DevOps engineers, conduct technical reviews, set engineering standards, and improve SRE/DevOps maturity.
Technology stack
- Cloud: AWS; infrastructure as code: Terraform, CloudFormation, AWS CDK; containers: Docker, Kubernetes/EKS, ECS.
- CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps; monitoring: CloudWatch, Prometheus, Grafana, ELK/OpenSearch.
- Configuration and automation: Ansible; scripting: Python, Shell/Bash; version control: Git and Git hosting platforms.
- Networking: VPC, load balancers, Route 53, CloudFront, DNS, and TCP/IP.
Preferred qualifications
- AWS Solutions Architect, DevOps Engineer, or SysOps Administrator certification is preferred.
- Hands-on experience managing large-scale production AWS environments is preferred.
Location and schedule
- The description lists the location as Ognaj, Ahmedabad, India.
- The stated time type is full time.
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