Site Reliability Engineer

Job Type: Fulltime

Location: Canada Remote

Role and Responsibilities:

• Design, build, and maintain highly reliable and scalable systems and infrastructure to ensure optimal performance and availability.
• Develop and implement automation tools and frameworks to streamline operations, deployment, and configuration management processes.
• Monitor, analyze, and optimize the performance of systems, applications, and network infrastructure to proactively identify and resolve bottlenecks and issues.
• Collaborate with software engineering teams to design and implement scalable, fault-tolerant architectures for new and existing applications.
• Troubleshoot and resolve production incidents, conducting root cause analysis and implementing preventive measures to minimize the occurrence of similar issues.
• Implement and maintain monitoring, alerting, and logging systems to ensure the early detection of anomalies and to facilitate troubleshooting and debugging efforts.
• Conduct capacity planning and performance testing to ensure systems can handle current and future loads and traffic.
• Define and enforce best practices, standards, and policies for system reliability, security, and performance across the organization.
• Collaborate with cross-functional teams to ensure proper backup, disaster recovery, and business continuity plans are in place and tested.
• Participate in on-call rotations to respond to and resolve critical incidents outside of regular business hours.
• Stay up-to-date with industry trends, emerging technologies, and best practices in site reliability engineering, and provide recommendations for improving system reliability and performance.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 4 years of experience as a Site Reliability Engineer or in a similar role, working on large-scale distributed systems.
• Strong experience with Linux/Unix systems administration, networking protocols, and troubleshooting.
• Proficiency in scripting languages such as Python, Bash, or Ruby for automation and tooling.
• Solid understanding of cloud platforms like AWS, Azure, or Google Cloud Platform, including provisioning, monitoring, and managing infrastructure.
• Experience with containerization technologies such as Docker and container orchestration frameworks like Kubernetes.
• Proficiency in implementing and managing monitoring and alerting systems like Prometheus, Grafana, ELK stack, or Splunk.
• Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Strong problem-solving and troubleshooting skills, with the ability to analyze complex systems and network issues.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.