Observability Engineer @ Data Economy

We are seeking an experienced Observability Engineer with a strong DevOps background to design, implement, and manage observability solutions across cloud and on-prem environments. The ideal candidate will have expertise in monitoring, logging, tracing, and alerting to ensure high system availability, performance, and reliability.
Key Responsibilities:

• Design & Implement Observability Solutions : Develop and maintain monitoring, logging, and tracing solutions using industry-leading tools (Prometheus, Grafana, Datadog, New Relic, Splunk, etc.).
  
• Performance Monitoring & Optimization : Ensure proactive identification and resolution of performance bottlenecks in distributed systems.
  
• Logging & Tracing : Set up and manage centralized logging solutions (ELK/EFK stack, Fluentd, OpenTelemetry).
  
• Alerting & Incident Management : Configure alerting mechanisms using tools like PagerDuty, Ops genie, or VictorOps for proactive issue detection.
  
• SRE Practices : Implement Site Reliability Engineering (SRE) principles to enhance system reliability and reduce MTTR (Mean Time to Resolution).
  
• Automation & Infrastructure as Code (IaC) : Automate observability setup and configurations using Terraform, Ansible, or similar tools.
  
• Cloud & Kubernetes Monitoring : Implement observability best practices for cloud platforms (AWS, Azure, GCP) and containerized environments (Kubernetes, Docker).
  
• Collaboration : Work closely with development, SRE, and operations teams to ensure end-to-end observability of applications and services.
  
• Compliance & Security : Ensure logging and monitoring solutions adhere to security and compliance requirements.
  
  
  
  Requirements Required Skills & Qualifications:
  

  • 6-10 years of experience in DevOps, SRE, or Observability engineering.
    
  • Strong hands-on experience with observability tools like Prometheus, Grafana, New Relic, Datadog, Splunk, ELK/EFK, OpenTelemetry, AppDynamics, etc.
    
  • Experience in setting up distributed tracing solutions (Jaeger, Zipkin, OpenTelemetry).
    
  • Expertise in Kubernetes monitoring using Prometheus, Thanos, Loki, or similar tools.
    
  • Strong proficiency in scripting (Python, Bash, Shell) for automation.
    
  • Hands-on experience with Terraform, Ansible, Helm, or CloudFormation for infrastructure automation.
    
  • Proficiency in CI/CD pipelines and GitOps methodologies using Jenkins, GitLab CI, ArgoCD, or Flux.
    
  • Experience in public cloud environments (AWS, Azure, GCP) and monitoring cloud-native services.
    
  • Strong troubleshooting and root cause analysis (RCA) skills.
    
  • Understanding of SLIs, SLOs, and error budgets as part of SRE best practices.
    
  • Familiarity with log management, anomaly detection, and AI-based observability solutions is a plus.
    
    
    Benefits

    As per company standards.
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