Lead Cloud Engineer

TIAA

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Chicago, ILCharlotte, NCIselin, NJDallas, TX
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live today
Closes
Nov 20, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $180k
$118k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $150,475–$209,187.

Based on 240 similar postings.

Employer

About TIAA

TIAA (Teachers Insurance and Annuity Association of America) is a leading Fortune 100 financial services organization and a premier provider of retirement services in the academic, research, medical, cultural, and governmental fields.

TIAA currently has 20 open roles on FindRole.

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At a glance

TL;DR · Lead Cloud Engineer

The Lead Cloud Engineer joins the team to develop and manage cloud storage solutions and data pipelines. This role involves designing cloud-based information systems on AWS infrastructure, provisioning infrastructure as code using Terraform, and configuring CI/CD pipelines with CloudBees. The engineer will build AI and Agentic AI solutions using MCP Services while developing ETL/ELT processes and automation scripts. Key responsibilities include managing S3 bucket configurations, storage lifecycle policies, and data retention strategies. The position requires proficiency in Python, Java, and experience with Data Domain, Rubrik, and Dell Networker. Candidates must handle technical documentation, monitor performance via AWS CloudWatch, and support security compliance. The work focuses on solving complex data engineering problems, ensuring system scalability, and maintaining reliable enterprise cloud backup and storage architectures.

What you'll do

  • Design and implement cloud-based information systems on AWS infrastructure.
  • Develop and manage Agentic AI solutions using MCP Services.
  • Provision cloud infrastructure as code using Terraform and configure CI/CD pipelines with CloudBees.
  • Build and maintain data engineering solutions, including ETL/ELT processes and Python automation scripts.
  • Manage cloud storage architectures, including S3 bucket configurations and data retention policies.
  • Create technical documentation, system specifications, and user training materials.
  • Monitor application performance using AWS CloudWatch and participate in incident response rotations.
  • Troubleshoot routine system issues and perform code reviews to improve system performance.

What we're looking for

  • 5+ years of experience implementing and managing enterprise cloud backup and storage solutions.
  • 3+ years of experience working with Data Domain.
  • 2+ years of experience working with Rubrik.
  • 3+ years of experience in Python development.
  • 5+ years of work experience required; 7+ years preferred.
  • University degree (preferred).
  • AWS Certified Solutions Architect Professional (preferred).
  • Experience with AWS Backup Services, Dell Networker, Splunk, and AI/ML workflows (preferred).

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