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SRE Product Reliability Engineer
2 months ago
Position: SRE Product Reliability Engineer
Location: San Jose, CA – Hybrid (3 days in office, 2 days remote)
Duration: 6+ Month
Job Description:
Must have EKS (Elastic Kubernetes Services) and AWS
Key Responsibilities:
Design and Implementation: Develop and implement observability solutions for Kubernetes based applications using Fluent bit, Cloud Watch, Stack Driver, Grafana Loki,
Grafana Tempo, Prometheus, Envoy Health Probes, Open Telemetry, and ArgoCD.
Monitoring and Logging: Configure and maintain logging pipelines using Fluent bit to collect, process, and route logs for storage and analysis.
Metrics and Tracing: Set up Prometheus for metrics collection and Grafana Tempo for distributed tracing. Integrate these with Grafana for real-time monitoring and alerting via open telemetry.
Telemetry: Utilize Open Telemetry to instrument applications for better traceability and observability.
CI/CD: Use ArgoCD for continuous deployment and ensure observability tools are integrated into the CI/CD pipeline to deploy the observability suite.
Observability Optimization: Analyze and optimize the performance of the observability stack to ensure minimal overhead and maximum efficiency.
Troubleshooting: Proactively identify and resolve issues related to the observability infrastructure. Collaborate with development and operations teams to troubleshoot and resolve incidents.
Documentation and Training: Document observability processes and best practices.
Provide training and support to other team members on observability tools and techniques.
Required Skills and Qualifications:
Experience: Proven experience as an SRE or in a similar role, with a strong focus on observability in Kubernetes environments supporting applications in EKS in AWS.
Technologies: Hands-on experience with Fluent bit, Cloud Watch, Stack Driver, Grafana Loki, Grafana Tempo, Prometheus, Envoy Health Probes, Open Telemetry, and ArgoCD.
Kubernetes: In-depth knowledge of Kubernetes and container orchestration.
Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or similar for automation tasks.
Monitoring and Logging: Strong understanding of monitoring, logging, and tracing concepts and best practices.
Problem Solving: Excellent analytical and problem-solving skills.
Collaboration: Strong communication skills and the ability to work effectively in a team environment.
Continuous Improvement: A proactive attitude towards identifying opportunities for improvement and implementing solutions.
Preferred Qualifications:
Certifications: Relevant certifications such as Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
Cloud Platforms: Experience with cloud platforms such as AWS and EKS.
DevOps Practices: Familiarity with DevOps practices and tools.