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AWS SRE Lead

Arrow Electronics
Gujarat, IND
Full-time
Onsite
Discovered 5 days ago
AWSSite Reliability Engineering (SRE)TerraformAWS CloudFormation/CDKAnsiblePython or Shell scripting

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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