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    Job · 12669824

    MetLife logo

    Sr. Site Reliability Engineer I

    MetLife · Hyderabad · onsite · Posted 62d ago

    Undisclosed3–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    MetLife is seeking a Site Reliability Engineer (SRE) to ensure the reliability, availability, and performance of critical applications and platforms.
    The SRE Engineer will monitor production systems, respond to incidents, improve observability, maintain runbooks, and automate operational tasks. Working closely with engineering, cloud, and infrastructure teams, the role supports SRE practices, operational readiness, and service reliability through SLIs, SLOs, and Error Budget management.
    Location
    Hyderabad, Telangana
    Working Schedule
    Full-Time
    Work Arrangement
    Hybrid
    Relocation Assistance Available
    No
    Posted Date Job ID
    20157
    Core Responsibilities
    • Monitoring: Monitor service health, dashboards, alerts, and key reliability indicators for assigned applications and platforms.
    • Incident Response: Respond to alerts, support bridge calls, gather evidence, execute runbooks, communicate status, and escalate when required.
    • Observability Support: Create and maintain dashboards, log queries, telemetry checks, alert validation, and actionable monitoring signals.
    • Runbook Management: Document operational procedures, update recovery steps, validate readiness with service owners, and support knowledge sharing.
    • Automation: Create scripts for repetitive checks, data collection, remediation, operational reporting, and toil reduction.
    • Problem Follow-up: Support root cause analysis, postmortem documentation, and closure of assigned corrective/preventive action items.
    • Continuous Improvement: Identify alert noise, toil, monitoring gaps, and preventive improvements for senior SRE review.
    • SRE Alignment: Support adoption of SLOs, SLIs, SLAs, error budgets, operational readiness reviews, and production support standards.
    • AI Readiness: Use or help improve AI-assisted tools for anomaly detection, incident correlation, root cause hints, and operational knowledge retrieval.
    • Collaboration: Work with engineering, infrastructure, cloud, and application teams to align service performance with business goals.
    Skills and Experience
    • Foundations: Linux, networking fundamentals, application support, cloud fundamentals, production operations, and ITIL-style incident/change processes.
    • Scripting: Python, PowerShell, Bash, or equivalent scripting for automation, diagnostics, evidence collection, and reporting.
    • Tools: Git, CI/CD basics, ServiceNow or equivalent ticketing; exposure to Elastic/ELK, Grafana, Prometheus, Splunk, APM, and Azure Monitor preferred.
    • Cloud Containers: Azure services, Docker, Kubernetes, and hybrid cloud operations exposure; Terraform or infrastructure-as-code awareness preferred.
    • Reliability: Basic understanding of SLIs, SLOs, SLAs, error budgets, alerting, incident response, postmortems, and operational runbooks.
    • AI / AIOps Readiness: Ability to use AI-assisted investigation, anomaly detection, and correlation tools responsibly, with strong validation of evidence.
    • Database: Hands-on SQL skills for operational diagnostics, data validation, and service health checks.
    • Execution: Disciplined follow-through, evidence capture, documentation, escalation hygiene, and collaboration during incidents.
    • Learning Mindset: Willingness to deepen skills in cloud, Kubernetes, observability, automation, resilience engineering, and secure operations.
    Minimum Qualifications
    • 3-7 years in production support, DevOps, infrastructure, cloud operations, or software engineering.
    • Experience supporting business-critical systems and working in incident, problem, and change management processes.
    • Ability to script and automate standard operational tasks using Python, PowerShell, Bash, or equivalent.
    • Bachelor s degree in computer science, engineering, or equivalent practical experience.
    • Exposure to regulated enterprise, insurance, banking, or financial services environments preferred.
    • Business proficiency in English; Japanese language skills are a plus.
    Preferred Exposure
    • Hybrid cloud platforms including on-premises and Azure-hosted services.
    • Observability platforms such as ELK/Elastic, Grafana, Prometheus, Splunk, Azure Monitor, and Azure Application Insights.
    • GitHub, Azure DevOps, pipelines, repositories, and operational change controls.
    • Kubernetes-based production services and containerized application support.
    • SRE practices including operational readiness reviews, service health reviews, and toil reduction initiatives.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    AutomationJapaneseMonitoringChange ManagementComputer NetworksApplication SupportPythonSQLProduction SupportLinux

    About MetLife

    MetLife logo

    MetLife

    Insurance

    4k+

    employees

    2008

    18 years old

    New York

    United States (USA)

    ₹9.3L PA avg

    Avg at MetLife

    About

    As a global leader in protection planning, MetLife offers insurance and financial solutions, serving individuals and businesses in over 50 countries.

    Industries

    InsuranceFinancial Services

    Employee ratings

    10 reviews

    4.0/ 5

    Culture

    3.5

    Career growth

    3.3

    Work-life

    3.7

    Employees rate it well for

    Job Security42Work-Life Balance42

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