Senior Platform Engineer (Data & AI)

The Opportunity

The Lead Architect is responsible for driving technology lifecycle modernization through DevOps, data, and AI-enabled solutions across the enterprise. Guided by our purpose—always with you, building a more confident future—and MetLife’s New Frontier strategy, this role plays a critical part in ensuring platforms remain current, secure, scalable, and aligned with risk and lifecycle standards. This is an exciting opportunity to lead high-impact initiatives that modernize application platforms through automation, standardized tooling, and intelligent capabilities. You’ll partner closely with engineering, architecture, and platform leaders to influence how modern DevOps and AI-driven approaches are adopted at scale, improving operational stability and long-term sustainability across MetLife.

Key Responsibilities

• Lead enterprise DevOps and platform modernization initiatives that improve technology currency, reliability, and scalability.
• Create automated CI/CD pipelines, infrastructure-as-code solutions, and AI-enabled capabilities to support application teams.
• Oversee integration of secure, compliant, and observable solutions across development and production environments.
• Develop standards, patterns, and best practices while providing technical guidance to engineering teams.
• Collaborate with architecture, engineering, and platform stakeholders to ensure consistent adoption of modern technologies.

Required Qualifications

• Bachelor’s degree in computer science, Engineering, or related discipline, or equivalent practical experience.

• 5 years of experience in DevOps, platform engineering, software engineering, or related roles.

• Demonstrated experience working with database technologies (relational and/or NoSQL).

• Experience supporting or developing AI. This can include AI‑enabled agents, intelligent automation, or AI‑driven systems.

• Strong understanding of operating systems, networking, and security fundamentals.

Preferred Qualifications

• Hands‑on experience in custom software development within a cloud‑based DevOps environment, including familiarity with CI/CD automation.

• Experience implementing data quality checks, validation frameworks, lineage, and governance controls in regulated environments.

• Hands‑on experience designing and operating data solutions on cloud platforms (preferably Azure), including storage, compute, and networking fundamentals.

• Familiarity with Enterprise Risk Management, Compliance, Internal Audit, or other GRC domains.

• Experience within Financial Services or a global insurance organization.