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Site Reliability Engineer

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Onsite

Site Reliability Engineer

Naukri E Hire Campaign

Site Reliability Engineer

Skills

DatadogGrafanaSplunkMachine LearningAIAWSKubernetesComplianceAzure

7 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Company - Optum

Exp - 4+yrs

Location - Hyderabad

Primary Responsibilities:

  • Provide operational support for critical business applications and infrastructure.
  • Participate in P1/P2 incident management activities, ensuring timely resolution and stakeholder communication.
  • Troubleshoot complex production issues and coordinate with cross-functional teams to restore services.
  • Ensure all incidents and service requests are resolved within defined SLA and SLO targets.
  • Drive root cause analysis (RCA) and implement preventive measures to avoid recurring incidents.
  • Manage incident backlog and prioritize remediation activities.
  • Develop and maintain monitoring, alerting, observability, and dashboard solutions.
  • Implement automation solutions for operational tasks, deployments, monitoring, and compliance activities.
  • Design, develop, and deploy AI-powered solutions to address complex business challenges at enterprise scale.
  • Leverage AI and automation technologies to improve incident detection, operational efficiency, and decision-making.
  • Explore innovative solutions to enhance reliability engineering practices and operational workflows.
  • Participate in on-call rotations and provide support during critical incidents and major events.

Required Skills & Qualifications

  • Strong experience in Site Reliability Engineering, Production Support, or Operations Engineering.
  • Experience with cloud platforms (Azure, AWS).
  • Experience with monitoring and observability tools such as Splunk, Datadog, Grafana, or similar.
  • Knowledge of Kubernetes, container platforms, and cloud-native architectures is preferred.

Preferred Qualifications

  • Experience in healthcare or other highly regulated industries.
  • Exposure to AI/ML technologies and operational AI solutions.

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