Cloud DevSecOps & Platform Engineer

ManpowerGroup Global, Inc.

Richardson (TX)

Hybrid

USD 90,000 - 92,000

Full time

2 days ago
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Benefits offered by this job

Medical and Prescription Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care FSA
Supplemental Life Insurance
Short/Long Disability Insurance
Business Travel Insurance
401(k) with Match
Weekly Pay

Job summary

ManpowerGroup via Experis is seeking a DevSecOps / Platform Engineer for a banking client in Irving, TX. The role is hybrid and supports AI/data modernization initiatives. You will focus on internal tools, utilities, and engineering productivity while driving automation and IaC practices.

The position offers a 12+ month contract and a competitive W2 pay range with flexible location options. Ideal candidates are hands-on, with Kubernetes expertise and a strong inclination toward AI-enabled

Qualifications

  • Terraform is a key skill.
  • Strong Kubernetes understanding and practical provisioning/operating infra.
  • Infrastructure as Code (IaC) knowledge is important.
  • Build extensions and automation on top of existing enterprise pipelines.
  • AI-native mindset; comfortable using AI as an accelerator.

Responsibilities

  • Focus on internal tools, utilities, infrastructure, and engineering productivity.
  • Build extensions and automation on top of existing automation pipelines.
  • Create utilities that improve the team's quality of life, speed, and effectiveness.
  • Provide enabling technology for engineers and empower rapid delivery.

Skills

Terraform
Kubernetes
IaC
Automation
AI fluency
Cloud platforms

Job description

ManpowerGroup via Experis is seeking a DevSecOps / Platform Engineer for a banking client in Irving, TX. The role is hybrid and supports AI/data modernization initiatives. You will focus on internal tools, utilities, and engineering productivity while driving automation and IaC practices.

The position offers a 12+ month contract and a competitive W2 pay range with flexible location options. Ideal candidates are hands-on, with Kubernetes expertise and a strong inclination toward AI-enabled

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