DevOps Engineer

Posted 5 Hours 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
Design, implement, and maintain CI/CD pipelines and infrastructure for batch and real-time ML models across on-prem and Azure. Deploy and manage containerized workloads (Docker, Kubernetes), implement observability and security best practices, optimize deployments for scalability and reliability, and drive MLOps/DevOps standards while collaborating with cross-functional partners.
Summary Generated by Built In
Description and Requirements
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
MLOps Engineer plays a critical role in the Data & Analytics life cycle. The role requires one to demonstrate expertise in CI/CD automation, cloud platforms, containerization, and operational monitoring. It is an individual contributor role, expected to independently function
Job Responsibilities
• Design, implement, and maintain deployment pipelines for batch and real-time models using on-prem and Azure cloud• Embed security best practices in deployments to ensure compliance with enterprise, governance, and regulatory standards.• Implement observability frameworks (logging, monitoring, alerting) to ensure reliability and performance.• Optimize deployments for performance, scalability and reliablity• Manage infrastructure for data pipelines and ML workloads across on-premise and cloud environments.• Deploy and manage containerized workloads using Docker and Kubernetes. • Drive adoption of best practices in DevOps and MLOps across the Data & Analytics ecosystem.• Document pipelines, environments, and operational standards for cross-team use.Design, implement, and maintain CI/CD pipelines for data, analytics, and ML solutions.• Independently lead design, solutioning & estimations• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)
Knowledge, Skills and Abilities
Education
Bachelor's degree in computer science, information technology or equivalent educational qualification
Technical Skills and Experience
• 5-8+ years of relevant experience
• Deployment tools (Azure DevOps, Tosca,YAML Scripting, code versioning tools) • Big Data Frameworks : Apache Spark, Hadoop• Azure cloud services ( Synapse, Databricks, Azure Apps, AKS)• Containerization and orchestration (Docker, Kubernetes, )• Protocols/technologies like HTTP, SSL, LDAP, JDBC, SQL, XML• Python, ML model serving and monitoring frameworks (MLflow, Azure ML)• Shell Scripting : Powershell, bash, CMD, CLI• Rest APIs, Postman • Communication skills, analytical skills, structured problem-solving skills • Partner, Stakeholder engagement experience
Good to Have (Preferred)
• DevOps certification• Infrastructure access management ( RBAC, Keyvault, CyberArk)• Exposure to Gen AI technology and tools
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

  • Bachelor's degree in Computer Science, Information Technology or equivalent
  • 5-8+ years of relevant experience
  • Azure DevOps
  • Tosca
  • YAML scripting
  • Apache Spark
  • Hadoop
  • Azure Synapse
  • Databricks
  • Azure Apps
  • AKS (Azure Kubernetes Service)
  • Docker
  • Kubernetes
  • Protocols/technologies: HTTP, SSL, LDAP, JDBC, SQL, XML
  • Python
  • MLflow
  • Azure ML
  • Shell scripting: PowerShell, Bash, CMD/CLI
  • REST APIs and Postman
  • Communication, analytical and stakeholder engagement skills
  • DevOps certification
  • Infrastructure access management (RBAC, KeyVault, CyberArk)
  • Exposure to Generative AI technologies and tools

What the Team is Saying

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Jing Huang
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Dan Xiao
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Patricia Hixson
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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.

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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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About our Teams

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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
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