Description

• Apply chaos engineering principles to validate system resilience and recovery.
• Work with chaos engineering tools such as Gremlin, Litmus, and Chaos Mesh.
• Automate operational and deployment processes to improve efficiency.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.
• Define and implement observability strategies covering monitoring, logging, tracing, and alerting.
• Design and manage scalable, resilient, and cost-effective AWS cloud infrastructure.
• Drive incident management, root cause analysis, and post-incident reviews.
• Establish and maintain SLIs, SLOs, and SLAs for system reliability.
• Implement Infrastructure as Code using Terraform and CloudFormation.
• Ensure security, compliance, and governance standards are met.
• Mentor engineers and promote reliability, automation, and operational excellence.
• Collaborate with Development, QA, and Product teams to ensure seamless releases.

Qualifications:
Mandatory Technical Skills

• 7+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering roles.
• Strong expertise in AWS Cloud services including EC2, EKS, Lambda, RDS, S3, CloudFront, IAM, and VPC.
• Hands-on experience with Kubernetes, EKS, and Docker.
• Strong knowledge of Infrastructure as Code using Terraform and/or CloudFormation.
• Experience implementing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline.
• Hands-on experience with monitoring and observability tools including Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog, New Relic, Splunk, or Dynatrace.
• Experience with incident management, troubleshooting, and reliability engineering practices.
• Knowledge of cloud security, IAM, compliance frameworks, and governance controls.
• Exposure to chaos engineering and resiliency testing tools.
• Strong understanding of SLIs, SLOs, SLAs, and operational excellence frameworks

Key Skills

Education

Bachelor's degree