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# Platform Engineer

- **Company:** Manpower
- **Location:** Richardson, TX, United States
- **Salary:** $145,600.0 - $166,400.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Cloud Computing, Configuration Management, Cyber Security, Data Transformation, Python (Programming Language), Release Management, Cloud Platform System, AI Platforms, Golang
- **Published:** September 3, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3375491711&tx=FP9188FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Experience with platform management: Manage cloud platform operations, including release management and configuration management.
 * Proficiency in Python, Java, and at least one additional language such as Golang, Rust, or JavaScript.
 * Experience supporting scalable platforms and AI/GenAI use cases.
 * Knowledge of regulated environments and cybersecurity is a plus.
 * Self-starter with a proactive approach to problem-solving.
 * Hands-on experience with systems thinking and cloud-native development.

## Description

Our banking client is seeking a Platform Engineer to join their dynamic team. As a Platform Engineer, you will be part of the cloud platform operations supporting innovative AI and data modernization initiatives. The ideal candidate will demonstrate initiative, hands-on technical expertise, and systems thinking, which will align successfully within the organization., (Due to client rules, we are unable to work with 3rd party subcontractors; all candidates must be able to work on Experis' W2)

 * U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer will be considered.
 * We are unable to sponsor or transfer visas at this time., * Manage cloud platform operations, including release management and configuration management.
 * Implement observability, monitoring, and automation to enhance operational resilience.
 * Support onboarding of AI use cases into the enterprise ecosystem.
 * Create standardized platform services to simplify AI adoption and data modernization efforts.
 * Collaborate across teams to enable scalable and governed consumption of enterprise data through AI services.


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