Staff Engineer, Cloud & TechOps

GameStop; Grapevine (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

GameStop is seeking a Staff Engineer, Cloud & TechOps to design, implement, and manage IT infrastructure, ensuring performance, reliability, and scalability aligned with business goals. The role is onsite five days a week in Grapevine, TX, and leads cloud and ops initiatives across teams to deliver secure, scalable platforms.

The position requires deep cloud expertise, Kubernetes leadership, cost optimization, and hands-on experience with agentic AI for automation within a fast-paced retail

Qualifications

• Strong background in IT infrastructure design, implementation, and management.
• Experience in cost optimization across teams.
• Skilled in managing large-scale infrastructure projects with a focus on performance outcomes and SLAs.
• Excellent interpersonal and decision-making abilities, able to work independently while fostering collaboration.
• Prior experience in retail or e-commerce infrastructure management.
• Mastery of cloud platforms (e.g., AWS) and DevOps methodologies.
• Hands-on experience with agentic AI systems for infrastructure automation.

Responsibilities

• Infrastructure Design & Oversight: Lead the design and optimization of GameStop’s infrastructure, building scalable, secure, and high-performing systems.
• Performance Management: Ensure systems and applications meet established performance SLAs.
• Kubernetes Management: Lead design, optimization, and management of Kubernetes clusters.
• Incident Investigation: Identify and resolve complex cloud incidents.
• Independent & Collaborative Work: Work autonomously while leading cross-functional collaboration on complex projects.
• Agentic AI & Infrastructure Automation: Design, implement, and maintain agentic AI systems for self-healing workflows and automation.

Skills

Infrastructure design

Cloud architecture

Cost optimization

Project management

Cross-functional collaboration

DevOps

Agentic AI in infrastructure

Tools

AWS

Kubernetes

Terraform

CI/CD

Job description

As the Staff Engineer, Cloud & TechOps , you will be responsible for designing, implementing, and managing GameStop's IT infrastructure. You will ensure our systems and applications meet performance standards, reliability, and scalability, aligning infrastructure strategies with business objectives.

This position sits onsite 5 days a week in Grapevine, TX.

Key Responsibilities

• Infrastructure Design & Oversight: Lead the design and optimization of GameStop’s infrastructure, leveraging your deep technical expertise to build scalable, secure, and high‑performing systems.
• Performance Management: Collaborate with relevant teams to ensure all systems and applications meet established performance SLAs.
• Kubernetes Management: Lead design, optimization, and management of the various Kubernetes clusters, ensuring efficient use of resources.
• Incident Investigation: Use deep knowledge of cloud platforms to quickly identify and resolve complex cloud incidents.
• Independent & Collaborative Work: Operate autonomously, applying independent thought and decision‑making, while also effectively leading cross‑functional collaboration on complex projects.
• Agentic AI & Infrastructure Automation: Design, implement, and maintain agentic AI systems for self‑healing workflows, intelligent capacity planning, automated incident response, and infrastructure‑as‑code generation.

Required Qualifications

• Technical Expertise: Strong background in IT infrastructure design, implementation, and management, with an architect‑level understanding of network, storage, cloud, and server architecture.
• Experience in Cost Optimization: Proven experience utilizing data to identify and work cross‑organizationally to drive the implementation of cost‑saving opportunities.
• Project Management: Skilled in managing large‑scale infrastructure projects, with a focus on performance outcomes and service level agreements.
• Communication & Decision‑Making: Excellent interpersonal and decision‑making abilities, able to work independently while also fostering a collaborative environment.
• Prior experience in retail or e-commerce infrastructure management.
• Mastery of cloud platforms (e.g., AWS) and DevOps methodologies.
• Agentic AI Experience: Hands‑on experience with agentic AI systems for infrastructure automation (AI‑driven runbook execution, LLM‑based ops tooling, autonomous remediation pipelines).