Senior Cloud Engineer: Data Pipelines, AI & AWS Infra

TIAA; Dallas (TX); On-site; USD 111,000 - 152,000; Full time

Job summary

TIAA seeks an experienced cloud storage and data engineering professional to design and manage cloud storage, build data pipelines, and automate tasks using Python and Flask. You will provision infrastructure with Terraform and CloudBees, contributing to AI initiatives with MCP Services.

The role emphasizes AWS storage architectures, CI/CD pipelines, security/compliance, documentation, and collaboration with senior engineers to support incident response and ongoing improvements.

Qualifications

• 5+ years implementing and managing enterprise cloud backup and storage solutions.
• 3+ years experience working with Data Domain
• 2+ years of experience working with Rubrik
• 3+ years of experience in Python development

Responsibilities

• Assists in designing and implementing cloud-based information systems on AWS by defining scope, research, documentation, and AI solution development with MCP Services.
• Implements and maintains IaC using Terraform and configures CI/CD pipelines with CloudBees; monitors resources and supports security and compliance.
• Develops data engineering solutions including data pipelines and ETL/ELT in Python/Java; designs cloud storage architectures and retention policies.
• Creates and maintains technical documentation; investigates issues, participates in code reviews, and escalates complex problems.
• Provides user training materials and sessions; gathers feedback to improve adoption and effectiveness during implementation and post-deployment phases.
• Monitors operations with AWS CloudWatch and other tools; participates in on-call rotation and ongoing AWS/Terraform/CloudBees skill development

Skills

Automation

Containerization

DevOps

SDLC

Systems Design

Problem Solving

Education

University Degree Preferred

Tools

Terraform

CloudBees

Python

Flask

AWS

S3

Job description

TIAA seeks an experienced cloud storage and data engineering professional to design and manage cloud storage, build data pipelines, and automate tasks using Python and Flask. You will provision infrastructure with Terraform and CloudBees, contributing to AI initiatives with MCP Services.

The role emphasizes AWS storage architectures, CI/CD pipelines, security/compliance, documentation, and collaboration with senior engineers to support incident response and ongoing improvements.