SRE Developer

Job Description

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.

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