Site Reliability Engineer

We are seeking an experienced Reliable System Engineer to join our team. As a key member of our infrastructure group, you will be responsible for ensuring the reliability and scalability of our systems.

• Monitoring & Alerting: Design and implement monitoring and alerting systems using Datadog to proactively identify and address potential issues, ensuring optimal system performance.
• CICD Pipelines: Participate in the design and implementation of CICD 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.

• 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.
• CICD Experience: Experience in implementing CICD 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.

• Certifications: Relevant certifications such as AWS Certified DevOps Engineer, AWS Certified SRE, Kubernetes certifications.
• Cloud Platforms: Experience with other cloud platforms (e.g., Azure, Google Cloud Platform).
• Microservices Architecture: Familiarity with microservices architecture and service mesh technologies.
• Application Performance Tuning: Prior experience with application performance tuning and optimization.