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Site Reliability Engineer

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NTT DATA

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Location:
India , Noida

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Site Reliability Engineer role requires 5–8 years of experience in ensuring system reliability and performance. Candidates should have expertise in observability tools like Splunk and Prometheus, along with cloud platforms such as AWS and Azure. Responsibilities include incident management, automation, and collaboration with engineering teams. Strong scripting skills in Python are essential.

Job Responsibility:

  • Implement and maintain observability across metrics, logs, traces, and events
  • Build and optimize monitoring dashboards and service health indicators using Splunk or similar tools
  • Configure, fine-tune, and maintain proactive alerts with high signal-to-noise ratio
  • Lead incident response, conduct root cause analysis (RCA), and drive long-term corrective measures
  • Define, measure, and enhance SLIs, SLOs, reliability KPIs, and error budgets
  • Improve system performance, scalability, and availability across environments
  • Automate monitoring, alerting, and operational workflows to reduce manual toil
  • Standardize and maintain telemetry instrumentation across services
  • Own and optimize logging pipelines, ingestion, parsing, indexing, and retention
  • Collaborate with engineering teams to integrate reliability best practices into application development
  • Participate in on-call rotations and ensure timely incident resolution
  • Partner with cloud/platform teams to enhance deployment readiness and operational stability

Requirements:

  • 5–8 years of experience in SRE, DevOps, or system reliability roles
  • Strong hands-on experience with Splunk (queries, dashboards, alerts, ingestion)
  • Solid understanding of observability tools (Splunk, Prometheus, Grafana, Datadog, OpenTelemetry, etc.)
  • Strong knowledge of Linux, networking fundamentals, and distributed systems
  • Experience with cloud platforms (AWS / Azure / GCP) and container technologies (Docker, Kubernetes)
  • Proficiency in scripting (Python, Shell, or similar)
  • Experience with production on-call environments and incident management
  • Familiarity with SLIs/SLOs, capacity planning, and reliability engineering concepts
  • Experience with OpenTelemetry–based instrumentation
  • Exposure to APM tools (Dynatrace, AppDynamics, New Relic)
  • Knowledge of IaC tools like Terraform or Ansible
  • Understanding of microservices architecture and CI/CD pipelines

Additional Information:

Job Posted:
January 26, 2026

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