Lead Cloud Engineer

TIAA

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, ILCharlotte, NCIselin, NJDallas, TX
Posted
66 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $198k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $184,987–$211,200.

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 11 open roles on FindRole.

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At a glance

TL;DR · Lead Cloud Engineer

Lead Cloud Engineer The Lead Cloud Engineer joins the team to develop and manage cloud storage solutions while building data pipelines and automating processes. This role involves designing and implementing cloud-based information systems on AWS infrastructure, creating technical documentation, and developing AI and Agentic AI solutions using MCP Services. The engineer will manage infrastructure as code using Terraform, configure CI/CD pipelines with CloudBees, and oversee S3 bucket configurations and storage lifecycle policies. Day-to-day responsibilities include performing ETL/ELT processes, monitoring performance via AWS CloudWatch, and participating in incident response rotations. The role requires proficiency in Python, Java, and Rubrik, alongside experience with Data Domain and Dell Networker. The position focuses on solving complex data engineering challenges, ensuring system reliability, and maintaining robust cloud storage architectures to meet specific analytical and reporting requirements within a technical infrastructure environment.

What you'll do

  • Develop and manage cloud storage solutions including S3 bucket configurations and lifecycle policies.
  • Build data pipelines and ETL/ELT processes using Python or Java for automation.
  • Provision infrastructure as code using Terraform and configure CI/CD pipelines with CloudBees.
  • Develop AI and Agentic AI solutions utilizing MCP Services.
  • Monitor system performance and resource utilization using AWS CloudWatch and other monitoring tools.
  • Create technical documentation including system specifications, user guides, and operational procedures.
  • Provide user support by developing training materials and knowledge base articles.
  • Troubleshoot routine system issues and participate in incident response on-call rotations.

What we're looking for

  • A university degree is preferred.
  • 5+ years of experience implementing and managing enterprise cloud backup and storage solutions are required.
  • 3+ years of experience working with Data Domain is required.
  • 2+ years of experience working with Rubrik is required.
  • 3+ years of experience in Python development is required.
  • Experience with AWS infrastructure, Terraform, CloudBees, and CI/CD pipelines is required.
  • Knowledge of AI/ML workflows, data pipelines, MLOps practices, and MCP Services is preferred.
  • AWS Certified Solutions Architect Professional certification is preferred.

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