Description

Job Title: Site Reliability Engineer

Key Responsibilities:

• Scalability and High Availability: Design, implement, and maintain scalable and highly available systems using load balancing, auto-scaling patterns, canary releases, and blue-green deployments.
• Monitoring, Logging, and Observability: Develop and maintain monitoring and logging dashboards using tools like New Relic, Prometheus, Grafana, and Datadog.
• Ensure observability through metrics, tracing, log aggregation, and alerting.
• Alerting and Automation: Help teams determine the right settings and thresholds for triggering alerts or automations on their applications.
• Understand that each application has different performance requirements, such as varying acceptable response times or resource constraints.
• System Performance and Reliability: Monitor, optimize, and ensure system reliability and performance using tools like New Relic.
• Apply DORA metrics to measure and improve development and operational performance.
• Ensure compliance with SLM metrics like SLAs, SLOs, and SLIs by tracking uptime, response times, and resolution times.
• Resiliency: Implement and advocate for “Chaos” engineering practices to ensure system resiliency.
• Collaboration: Work with cross-functional teams to enhance platform engineering practices and gathering the right information for metrics analysis.

Requirements

• Proven experience working with Infrastructure-as-Code tooling, like Terraform, for infrastructure management.
• Strong understanding of scalability and high availability patterns, including load balancing, auto-scaling, canary releases, and blue-green deployments.
• Strong understanding of DevOps metrics (like DORA) and their application in measuring and improving development and operational performance.
• Strong understanding of Service Level Management (SLM) metrics (like SLAs, SLOs, and SLIs). And their importance in defining, monitoring, and ensuring compliance from the services bound to them.
• Experience with monitoring, logging, and observability tools like New Relic, Prometheus, Grafana, and Datadog.
• Experience working with Kafka and improving performance of event-driven, realtime data processing and streaming projects and architectures.
• Familiarity with tooling used for SLM, DevOps and DORA metrics like Apache Dev Lake, Grafana and New Relic.
• Experience working with AWS, Azure or GCP for cloud infrastructure management.
• Experience working with CI/CD pipeline tools such as GitHub Actions, Jenkins, GitLab CI, or similar.
• Analytical Skills. Ability to analyze and interpret metrics to drive improvements.
• Strong communication skills to effectively collaborate with team members and stakeholders.
• Nice-to-haves Familiarity with Observability-as-Code tooling and practices.
• Familiarity with “Chaos” engineering practices for system resiliency

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