Observability Engineer/AWS Devops Engineer

Job Summary:

Observability Engineer

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, Opsgenie, 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.

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.