Lead Cloud Engineer

About the role

This role is responsible for developing and managing cloud storage solutions, building data pipelines, automating processes using Python and Flask, provisioning infrastructure with Terraform and CloudBees, and contributing to AI and Agentic AI solution development using MCP Services.

Every worker deserves a secure retirement. For more than 100 years, TIAA has delivered it for millions of people. Founded to help educators retire with dignity, today we’re a market-leading retirement company fueled by world-class asset management. We’re fighting harder than ever before for our clients and the many Americans who need us. Our Culture of Impact at TIAA focuses on building on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future‑focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in‑office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.

Anticipated Posting End Date: 2026-09-11

Responsibilities

• Assists in designing and implementing cloud-based information systems on AWS infrastructure by defining system scope, conducting research and feasibility studies, creating technical documentation and flow charts, and building AI solutions using MCP Services and developing Agentic AI solutions under guidance from senior engineers.
• Implements and maintains cloud infrastructure as code using Terraform and configures CI/CD pipelines with CloudBees, while monitoring resource utilization, performance metrics, and supporting security and compliance initiatives following established procedures.
• Develops and maintains data engineering solutions including data pipelines, ETL/ELT processes, and analytics components using Python or Java for automation scripts, while designing and managing cloud storage architectures including S3 bucket configurations, storage lifecycle policies, and data retention strategies to ensure systems meet analytical and reporting requirements.
• Creates and maintains comprehensive technical documentation including system specifications, user guides, operational procedures, and troubleshooting steps to support knowledge sharing and ongoing system operations.
• Investigates and troubleshoots routine system issues, participates in code reviews, analyzes system performance for improvement opportunities, and escalates complex problems appropriately to senior team members.
• Provides user support by developing training materials, delivering training sessions, creating knowledge base articles, and gathering feedback to enhance user adoption and system effectiveness during implementation and post-deployment phases.
• Monitors application operations using AWS CloudWatch and monitoring tools, participates in incident response and on-call rotation, and actively develops professional skills in AWS cloud technologies, Terraform, CloudBees, storage