AI Cloud Platform Engineer

Allstate

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
TX
Salary
$85,000–$145,075 / yr
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $115k
$70k $224k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $142,487–$189,100 — the blue band above. At the midpoint, this role pays about $115k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 52 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 51 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · AI Cloud Platform Engineer

The AI Cloud Platform Engineer joins the Data & Analytics Technology team to build the next generation of enterprise AI and data platforms using Microsoft Fabric. This role involves designing, building, and operating scalable, resilient, and high-performance data platforms that power enterprise analytics, reporting, and advanced data products. You will develop a Unified Data Analytics Platform, implementing intelligent, automated, and agentic AI-driven solutions to enhance security, governance, and operational excellence. Key responsibilities include participating in iteration planning, designing scalable systems, and establishing CI/CD pipelines. Required technical skills include Python, SQL, GitHub, Key Vault, REST APIs, and Terraform. You will utilize Agentic AI-assisted development tools like GitHub Copilot and Anthropic Claude Code while applying test-driven development and Infrastructure as Code practices within the Azure ecosystem.

What you'll do

  • Design, build, and operate scalable, high-performance data platforms using Microsoft Fabric technologies.
  • Develop and optimize a Unified Data Analytics Platform for enterprise-scale data consumption.
  • Implement intelligent, automated, and agentic AI-driven solutions to enhance platform security and governance.
  • Establish and maintain CI/CD pipelines using Terraform, Jenkins, and Infrastructure as Code (IaC) practices.
  • Use Agentic AI-assisted development tools like GitHub Copilot to accelerate code generation and troubleshooting.
  • Apply paired programming and test-driven development (TDD) to deliver high-quality software solutions.
  • Support software products and platforms in production and user environments to ensure reliability.
  • Design and implement AI-enabled applications and automation workflows for intelligent developer experiences.

What we're looking for

  • 3+ years of experience as a Data Engineer building and supporting enterprise-scale data platforms and pipelines.
  • Advanced proficiency in Python, SQL, and modern data engineering practices.
  • Hands-on experience with GitHub, Key vault, and REST API integration and automation.
  • Experience with Microsoft Fabric and Azure platform, or comparable cloud analytics platforms.
  • Experience with Terraform/Jenkins, or comparable CI/CD tools.
  • Experience implementing CI/CD pipelines, source control, Infrastructure as Code (IaC), and automated testing practices.
  • Familiarity with AI-powered engineering tools and Agentic AI-assisted software development practices.
  • Strong understanding of distributed computing, performance tuning, scalability, fault tolerance, and data reliability.

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