MetLife Jobs

DevOps Engineer II

MetLife

DevOps Engineer II

Posted 7 Hours Ago

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Hyderabad, Telangana, IND

Hybrid

Mid 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

Supports reliability, scalability, observability, and operational excellence for Azure-based data platforms and services. Responsibilities include automation, monitoring, incident response, root cause analysis, disaster recovery, production support, documentation, and governance. The role partners with engineering, data, cloud, product, and operations teams while improving SRE practices, reducing toil, and meeting availability and data integrity objectives.

Summary Generated by Built In

Description and Requirements
Role Responsibility
We are offering an exciting opportunity to contribute to MetLife's digital and AI transformation journey. We are seeking an experienced Site Reliability Engineer (SRE) for the Data domain to ensure highly available, scalable, performant, and reliable data platforms, pipelines, and services. This role will drive operational excellence, strengthen observability, improve incident response, reduce toil through automation, and partner with engineering, data, cloud, and operations teams to enable resilient data services and measurable business outcomes.
Core Responsibilities

Data Platform Reliability: Ensure the availability, performance, scalability, and reliability of data platforms, pipelines, and services through proactive monitoring, troubleshooting, and issue resolution.
Service Design and Implementation: Collaborate with engineering teams to design, implement, and operate large-scale data systems, including software and tooling to automate and streamline operations.
Automation and Scripting: Develop and maintain scripts, utilities, and automation tools to improve operational efficiency, reduce manual effort, minimize errors, and support repeatable data platform operations.
Monitoring and Alerting: Design, implement, and continuously improve monitoring, alerting, dashboards, and observability signals to enable early detection and timely resolution of issues.
Collaboration and Communication: Partner with engineering teams, product managers, data stakeholders, cloud teams, and operations teams to ensure services meet business requirements and align with company goals.
Incident Response and Management: Participate in incident response, service restoration, root cause analysis, postmortems, and corrective actions to improve resiliency and prevent recurrence.
Documentation and Knowledge Sharing: Maintain accurate documentation for systems, services, runbooks, processes, and operational procedures, and promote knowledge sharing across the team.
Governance and Day-to-Day Operations: Support day-to-day data platform operations while ensuring alignment with internal standards, global governance requirements, operational controls, and production support processes.

Skills and Experience

Programming, Scripting, and Data Processing: Hands-on experience with Python, Spark, Bash, and PowerShell for automation, diagnostics, data processing support, operational tooling, and repeatable platform operations.
Azure Data Platform: Experience supporting Azure Data Lake Gen2, Azure Data Factory, Azure Synapse Analytics including Data Warehouse, Spark, and Pipelines, Azure SQL Database, Cosmos DB, and Databricks in production environments.
Observability and Monitoring: Proficiency with Azure Application Insights, Azure Log Analytics, Azure Monitor, Splunk, AppDynamics, and ELK to monitor availability, performance, pipeline health, application behavior, logs, metrics, traces, and alerts.
DevOps and Source Control: Working knowledge of Azure DevOps and GitHub Enterprise for repositories, CI/CD pipelines, release management, operational changes, branching strategies, and controlled production deployments.
Containers and Cloud-Native Operations: Experience with Docker, Kubernetes, and Azure Kubernetes Service (AKS) to support containerized workloads, platform reliability, deployment operations, scaling, and service health management.
ITSM and Operational Governance: Experience using ServiceNow or equivalent ITSM platforms for incident, problem, change, request, and knowledge management in a governed enterprise environment.
SRE and Production Reliability: Strong understanding of SLIs, SLOs, SLAs, error budgets, incident response, root cause analysis, postmortems, runbooks, automation, production readiness, and toil reduction practices.
Disaster Recovery & Resilience Engineering: Design and architect for multi-region systems to meet strict RTO (Service Availability) and RPO (Data Integrity) targets. You will drive down RTO via automation (Terraform, auto-scaling, DNS failover) and enforce RPO through robust replication and Continuous Data Protection (CDP) strategies.
AI-Assisted Engineering: Ability to use GitHub Copilot and Microsoft 365 Copilot responsibly to accelerate investigation, documentation, scripting, knowledge discovery, and operational productivity with appropriate human validation.
Collaboration and Execution: Strong communication, documentation, troubleshooting, evidence capture, escalation management, and cross-functional collaboration skills across engineering, data, cloud, product, and operations teams.

Minimum Qualifications

4- 6 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.
Exposure to Hybrid cloud platforms including on-premises and Azure-hosted services.
Business proficiency in English; Japanese language skills are a plus.

Preferred Exposure

Japanese language ability, including reading and writing.
Domain knowledge of life insurance business processes, data platforms, and operational support needs.

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

4–6 years of experience in production support, DevOps, infrastructure, cloud operations, or software engineering
Experience supporting business-critical systems
Experience with incident, problem, and change management processes
Ability to automate operational tasks using Python, PowerShell, Bash, or equivalent
Bachelor’s degree in computer science, engineering, or equivalent practical experience
Experience with Python, Spark, Bash, and PowerShell
Production experience supporting Azure data platforms, including Data Lake Gen2, Data Factory, Synapse Analytics, Azure SQL Database, Cosmos DB, and Databricks
Experience with Azure Application Insights, Azure Log Analytics, Azure Monitor, Splunk, AppDynamics, and ELK
Working knowledge of Azure DevOps and GitHub Enterprise
Experience with Docker, Kubernetes, and Azure Kubernetes Service
Experience using ServiceNow or an equivalent ITSM platform
Understanding of SLIs, SLOs, SLAs, error budgets, incident response, postmortems, runbooks, production readiness, and toil reduction
Experience designing multi-region systems and meeting RTO and RPO targets
Experience with Terraform, auto-scaling, DNS failover, replication, and continuous data protection strategies
Ability to use GitHub Copilot and Microsoft 365 Copilot responsibly with human validation
Experience with regulated enterprise, insurance, banking, or financial services environments
Exposure to hybrid cloud platforms, including on-premises and Azure-hosted services
Business proficiency in English
Japanese language ability, including reading and writing
Knowledge of life insurance business processes, data platforms, and operational support needs

What the Team is Saying

MetLife Compensation & Benefits Highlights

Retirement Support — Retirement offerings include both a company 401(k) match and a pension/cash-balance component for eligible employees, which is highlighted as a notable strength. This combination is described as providing stronger long-term security than a 401(k) alone.
Healthcare Strength — Health coverage is described as broad with family options and relatively low premiums, and medical, dental, and vision plans are often cited as standouts. Additional wellbeing resources such as counseling, condition-specific programs, and related support further reinforce this area.
Leave & Time Off Breadth — Paid time off is often characterized as generous, with many noting good work-life balance in several departments. Parental and family support resources also appear in the package, adding flexibility for caregiving needs.

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