Observability SRE

2 days ago

Hyderabad, India Ifintalent Global Private Limited Full time

Job Description 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 fieldor 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.

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