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Site Reliability Engineer (SRE) - Observability

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Onsite

Site Reliability Engineer (SRE) - Observability

Tata Consultancy Services

Site Reliability Engineer (SRE) - Observability

Skills

Google Cloud PlatformDockerPythonDatadogGrafanaSplunkAWSElasticsearchPrometheusLinuxKubernetesELK StackAppDynamicsAzure

14 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


Site Reliability Engineer (SRE) - Observability

Experience - 8-10 Years

Location - Chennai / Bangalore / Hyderabad / Delhi / Pune

Notice Period - Immediate Joiners to 30 Days Preferred

Job Description :

We are seeking an experienced SRE - Observability Engineer to drive monitoring, logging, tracing, and reliability engineering initiatives across large-scale cloud-native environments. The ideal candidate will possess strong expertise in observability platforms, incident management, performance monitoring, and automation to enhance system availability, reliability, and operational excellence.

Key Responsibilities :

  • Design, implement, and manage enterprise observability solutions.
  • Build and maintain monitoring dashboards, alerts, and SLO/SLI frameworks.
  • Analyze application, infrastructure, and network performance metrics.
  • Implement and manage logging and distributed tracing solutions.
  • Conduct incident troubleshooting, root cause analysis (RCA), and postmortem reviews.
  • Collaborate with Development, DevOps, Cloud, and Platform teams to improve service reliability.
  • Automate operational tasks using scripting and infrastructure-as-code practices.
  • Define and optimize alerting strategies to reduce noise and improve incident response.

Required Skills :

  • Strong experience in SRE and Observability practices.
  • Hands-on expertise with Prometheus, Grafana, Datadog, Dynatrace, AppDynamics, or New Relic .
  • Experience with ELK Stack (Elasticsearch, Logstash, Kibana) or Splunk .
  • Knowledge of OpenTelemetry , distributed tracing, and observability frameworks.
  • Experience with Kubernetes, Docker, and Cloud Platforms (AWS/Azure/GCP) .
  • Strong understanding of Linux systems, networking, and system performance tuning.
  • Scripting experience in Python, Shell, or Bash .
  • Good understanding of Incident Management, Monitoring, and Reliability Engineering concepts.

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