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Performance Optimization Engineer
2 weeks ago
We are looking for a highly skilled individual to join our team as a Performance Optimization Engineer. This role will involve designing, developing, and maintaining observability solutions that provide deep visibility into our infrastructure, applications, and services.
Key Responsibilities:
- Design and implement observability solutions for monitoring, logging, and tracing across cloud and on-premises environments.
- Develop and maintain monitoring tools such as Prometheus, Grafana, Datadog, New Relic, and AppDynamics.
- Implement distributed tracing using OpenTelemetry, Jaeger, Zipkin, or similar tools to improve application performance and troubleshooting.
Requirements:
- 6 years of experience in observability, SRE, DevOps, or a related field.
- Proficiency in observability tools such as Prometheus, Grafana, Datadog, New Relic, or AppDynamics.
- Experience with logging platforms like Elasticsearch, Splunk, Loki, or Fluentd.
- Strong knowledge of distributed tracing (OpenTelemetry, Jaeger, Zipkin).
- Hands-on experience with Azure cloud platforms and Kubernetes.
- Proficiency in scripting languages (Python, Bash, PowerShell) and infrastructure as code (Terraform, Ansible).
- Solid understanding of system performance, networking, and troubleshooting.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
This is an exciting opportunity to work with cutting-edge technology and make a meaningful impact on our organization's success.