MetLife Jobs

Sr. Site Reliability Engineer I

MetLife

Sr. Site Reliability Engineer I

Posted 2 Days Ago

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Hyderabad, Telangana, IND

Hybrid

Senior level

Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics

At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.

The Role

Ensure reliability, availability, and performance of critical applications via monitoring, incident response, observability, runbook maintenance, automation, postmortems, SLO/SLI/error budget practices, and collaboration with engineering, cloud, and infrastructure teams.

Summary Generated by Built In

Description and Requirements
Role Reasonability
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.
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.

About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid

Skills Required

3-7 years in production support, DevOps, infrastructure, cloud operations, or software engineering
Bachelor's degree in computer science, engineering, or equivalent practical experience
Foundations: Linux, networking fundamentals, application support, cloud fundamentals, production operations, and ITIL-style incident/change processes
Ability to script and automate operational tasks using Python, PowerShell, Bash, or equivalent
Experience supporting business-critical systems and working in incident, problem, and change management processes
Hands-on SQL skills for operational diagnostics, data validation, and service health checks
Familiarity with Git, CI/CD basics, and ServiceNow or equivalent ticketing
Understanding of SLIs, SLOs, SLAs, error budgets, alerting, incident response, postmortems, and operational runbooks
Exposure to regulated enterprise, insurance, banking, or financial services environments
Exposure to observability platforms such as Elastic/ELK, Grafana, Prometheus, Splunk, APM, and Azure Monitor / Application Insights
Experience or exposure to Azure services, Docker, Kubernetes, hybrid cloud operations, and infrastructure-as-code (Terraform)
Experience with GitHub, Azure DevOps, pipelines, repositories, and operational change controls
Ability to use or validate AI-assisted investigation, anomaly detection, and correlation tools responsibly (AIOps)
Business proficiency in English (Japanese skills a plus)
Disciplined execution: evidence capture, documentation, escalation hygiene, and collaborative incident response

What the Team is Saying

MetLife Compensation & Benefits Highlights

Retirement Support — Retirement support is strengthened by a company‑funded cash‑balance pension alongside a 401(k) with company match—an uncommon combination among large U.S. employers. Pension eligibility begins after one year, reinforcing long‑term savings.
Healthcare Strength — Health coverage spans medical, dental, vision, and prescription drugs with access to HSAs/FSAs, wellness resources, and expert second‑opinion services. Targeted programs for cancer care, family‑building, menopause, musculoskeletal issues, and diabetes/hypertension broaden the support.
Leave & Time Off Breadth — Time away is bolstered by a minimum of 22 days of PTO for U.S. employees plus a paid Volunteer Day, and many hybrid roles receive 10 additional virtual flex days. Flexible work arrangements are also highlighted for applicable roles.

Learn more about MetLife's Compensation & Benefits →

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The Company

HQ: New York, NY

43,000 Employees

Year Founded: 1868

What We Do

We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.

Why Work With Us

At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together

Typical time on-site: Flexible