SRE Developer (IAM)

Key Responsibilities: Monitoring & Alerting : Develop, maintain, and enhance monitoring and alerting systems using Datadog to proactively identify and address potential issues, ensuring optimal system performance. CI/CD Pipelines : Participate in the design and implementation of CI/CD pipelines using Azure DevOps , enabling automated and reliable software delivery. Incident Response : Lead efforts in incident response and troubleshooting to quickly diagnose and resolve production incidents, minimizing downtime and impact on users. Reliability Initiatives : Take ownership of reliability initiatives by identifying areas for improvement, conducting root cause analysis , and implementing solutions to prevent recurrence of incidents. Collaboration : Collaborate with cross-functional teams to ensure security , compliance , and performance standards are met throughout the development lifecycle. On-call Support : Participate in on-call rotations and provide 24/7 support for critical incidents, ensuring rapid response and resolution. SLOs & SLIs : Work with development teams to define and establish Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to measure and maintain system reliability. Documentation : Contribute to the documentation of processes, procedures, and best practices to enhance knowledge sharing within the team. Qualifications: Education : Bachelor's degree in Computer Science , Information Technology , or a related field, or equivalent work experience. Experience : Minimum of 4 years of experience in a Site Reliability Engineer or similar role, managing cloud-based infrastructure on AWS with EKS . AWS Expertise : Strong expertise in AWS services , especially EKS , including cluster provisioning , scaling , and management . Monitoring & Observability : Proficiency in using monitoring and observability tools , with hands-on experience in Datadog or similar tools for tracking system performance and generating meaningful alerts. CI/CD Experience : Experience in implementing CI/CD pipelines using Azure DevOps or similar tools to automate software deployment and testing. Containerization & Orchestration : Solid understanding of containerization and orchestration technologies (e.g., Docker , Kubernetes ) and their role in modern application architectures. Troubleshooting : Excellent troubleshooting skills and the ability to analyze complex issues, determine root causes, and implement effective solutions. Scripting & Automation : Strong scripting and automation skills (e.g., Python , Bash ). IaC (Infrastructure as Code) : Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation . Incident Management : Experience with incident management , post-incident analysis , and implementing improvements based on lessons learned. Security & Compliance : Good understanding of security best practices and compliance standards in cloud environments. Communication : Exceptional communication skills and the ability to collaborate effectively with cross-functional teams. On-call Rotations : Willingness to participate in on-call rotations and provide off-hours support when necessary. Preferred Qualifications: Relevant certifications such as: AWS Certified DevOps Engineer AWS Certified SRE Kubernetes certifications Experience with other cloud platforms (e.g., Azure , Google Cloud Platform ). Familiarity with microservices architecture and service mesh technologies . Prior experience with application performance tuning and optimization .