We are seeking an experienced Site Reliability Engineer (SRE) to join our dynamic team. As an SRE, you will play a pivotal role in ensuring the reliability, availability, and performance of our cloud-based infrastructure hosted on AWS with EKS. You will work closely with cross-functional teams to implement best practices for monitoring, automation, and continuous integration and deployment using tools such as Datadog and Azure DevOps. The ideal candidate should have a solid background in cloud technologies, troubleshooting, and production release support.

Responsibilities :

- Collaborate with development and operations teams to design, implement, and manage scalable and reliable infrastructure solutions on AWS using EKS (Elastic Kubernetes Service).

- Develop, maintain, and enhance monitoring and alerting systems using Datadog to proactively identify and address potential issues, ensuring optimal system performance.

- Participate in the design and implementation of CI/CD pipelines using Azure DevOps, enabling automated and reliable software delivery.

- Lead efforts in incident response and troubleshooting to quickly diagnose and resolve production incidents, minimizing downtime and impact on users.

- Take ownership of reliability initiatives by identifying areas for improvement, conducting root cause analysis, and implementing solutions to prevent recurrence of incidents.

- Work with the development teams to define and establish Service Level Objectives (SLOs) and Service Level

- Indicators (SLIs) to measure and maintain the system's reliability.

- Contribute to the documentation of processes, procedures, and best practices to enhance knowledge sharing within the team.

Qualifications :

- Minimum of 4 years of experience in a Site Reliability Engineer or similar role, managing cloud-based infrastructure on AWS with EKS.

- Strong expertise in AWS services, especially EKS, including cluster provisioning, scaling, and management.

- Proficiency in using monitoring and observability tools, with hands-on experience in Datadog or similar tools for tracking system performance and generating meaningful alerts.

- Experience in implementing CI/CD pipelines using Azure DevOps or similar tools to automate software deployment and testing.

- Solid understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes) and their role in modern application architectures.

- Excellent troubleshooting skills and the ability to analyze complex issues, determine root causes, and implement effective solutions.

- Strong scripting and automation skills (Python, Bash, etc.).