Observability SRE

Key Responsibilities:

• Design, build, and maintain observability platforms including monitoring, logging, tracing, and alerting systems.
• Implement and optimize metrics collection using tools like Prometheus, Grafana, OpenTelemetry, or similar.
• Develop and maintain centralized logging infrastructure (e.g., Data Dog, Open Telemetry, Splunk, or Google Cloud Logging).
• Implement distributed tracing solutions using tools such as Jaeger, Zip kin, AppDynamics, or OpenTelemetry.
• Collaborate with engineering teams to define SLIs, SLOs, and alerting thresholds.
• Automate observability workflows and integrate observability into CI/CD pipelines.
• Analyze and interpret telemetry data to proactively identify system issues and performance bottlenecks.
• Provide training and documentation to teams on best practices in observability.
• Continuously evaluate and adopt new observability technologies and practices.

Tools & Technologies:

• Skilled in AppDynamics, Splunk, Thousand Eyes, ITRS for instrumentation, monitoring, alerting, and incident response.
• Deep hands-on knowledge of Terraform, Kubernetes (GKE), GitLab CI/CD.
• Familiar with modern observability practices like Open Telemetry, Grafana, Datadog
• Strong knowledge of data platforms: Big Query, Cassandra, Kafka, PostgreSQL, MySQL.
• Experience with AI/ML-based operations tools for automation, anomaly detection, and predictive alerting.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field—or equivalent experience.
• Proven experience as an SRE or DevOps engineer, particularly in Google Cloud Platform (GCP).
• Expertise in designing and managing observability platforms and tools.
• Hands-on experience with monitoring systems like Prometheus, Grafana, Datadog, New Relic, etc.
• Proficient in logging solutions such as ELK, Splunk, Fluentd, or Google Cloud Logging.
• Familiarity with distributed tracing tools like Open Telemetry, Jaeger, or Zip kin.
• Strong scripting and automation skills using Python, Go, Bash, or similar.
• Experience with cloud platforms (AWS, GCP, Azure) and their observability services.
• Solid understanding of Kubernetes and observability in containerized environments.
• Deep knowledge of networking, application performance, and distributed systems.
• Exposure to AI/ML-based observability or anomaly detection tools.
• Excellent troubleshooting, debugging, and analytical capabilities.
• Strong communication and cross-team collaboration skills.