Senior DevOps Engineer

General Information

Location

Cary, North Carolina

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

No

Grade

11T

Posted Date

20-Jul-2026

Job ID

18898

Description and Requirements

The Team You Will Join

At MetLife, data isn't just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you'll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We're building the future of data - one that's governed responsibly, engineered for scalability, and designed for growth. When you join us, you're not just supporting the business - you're empowering it. Let's transform insight into impact and data into action, together.

The Opportunity

MetLife is seeking an experienced Senior DevOps / MLOps Engineer to join our Data & Analytics US Data Platforms organization. This role is responsible for supporting the design, implementation, and continuous improvement of DevOps and MLOps practices within MetLife\''s cloud environment.

The successful candidate will work closely with engineering, cloud platform, and data science teams to implement scalable and secure software delivery and machine learning deployment solutions. The role will contribute to platform engineering initiatives, automation efforts, and operational improvements while adhering to established enterprise cloud standards and governance requirements.

Key Responsibilities

Solution Delivery & Engineering

• Design, build, and support CI/CD pipelines using Azure DevOps and GitHub Actions.
• Develop and maintain Infrastructure as Code solutions using Bicep, ARM, and Terraform.
• Implement and support Azure Machine Learning deployment pipelines and lifecycle processes.
• Partner with platform engineering teams to enhance cloud-based development and deployment capabilities.
• Contribute to the development of reusable automation components, deployment templates, and engineering standards.
• Support integration of DevSecOps practices, including vulnerability scanning, secrets management, and security controls.
• Implement monitoring and observability capabilities using Azure Monitor, Log Analytics, and Application Insights.
• Troubleshoot and resolve complex platform, deployment, and automation issues.
• Support deployment and operational activities for Azure Kubernetes Service (AKS) and related cloud-native technologies.
• Participate in Agile ceremonies and contribute to delivery planning and execution.

Operations & Continuous Improvement

• Support incident management and operational response processes.
• Contribute to automation of operational tasks, runbooks, and support documentation.
• Identify opportunities to improve deployment efficiency, reliability, and scalability.
• Participate in efforts to improve platform performance, monitoring, and cost management.

Collaborate with cross-functional teams to implement engineering best practices and process improvements.

Required Qualifications

• Bachelor's degree in computer science, Engineering, or a related field, or equivalent experience.
• 7-10 years of experience in cloud engineering, infrastructure engineering, or related technical disciplines.
• 3+ years of hands-on experience supporting DevOps, cloud engineering, or MLOps implementations.
• Experience designing and implementing CI/CD pipelines and deployment automation.
• Experience with Azure DevOps and/or GitHub Actions.
• Experience with Infrastructure as Code solutions such as Terraform, Bicep, or ARM templates.
• Experience supporting cloud-native solutions within Microsoft Azure.
• Strong troubleshooting, analytical, and problem-solving skills.
• Experience working on cross-functional technology projects and strong written and verbal communication skills.

Preferred Qualifications

• Experience supporting Azure Kubernetes Service (AKS).
• Experience with Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, or Azure Data Factory.
• Experience implementing DevSecOps controls and automation.
• Experience working in large enterprise environments.
• Experience supporting cloud transformation or platform modernization initiatives.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $105,000 - $135,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife's U.S. benefits, please click here.

About MetLife

Recognized on Fortune magazine\''s list of the "World\''s Most Admired Companies", Fortune World's 25 Best Workplaces, as well as the Fortune 100 Best Companies to Work For, 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!

MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").

If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

This posting is for a current vacancy and is anticipated to remain open for at least 90 days from the listed posting date.

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