Staff Engineer, Cloud & TechOps

GameStop Corp.; Grapevine (TX); On-site; USD 140,000 - 220,000; Full time

Job summary

GameStop Corp. seeks a Staff Engineer, Cloud & TechOps to design, implement, and manage its IT infrastructure, ensuring performance, reliability, and scalable systems aligned with business goals.

This on-site role in Grapevine, TX leads infrastructure design, Kubernetes clusters, cloud incidents, and automation using agentic AI to enable self-healing workflows and automated remediation. Candidates should combine cloud, DevOps, cost optimization, and cross-functional collaboration to deliver

Qualifications

• Architect-level understanding of network, storage, cloud, and server architecture.
• Experience in cost optimization across IT infrastructure.
• Skilled in managing large-scale infrastructure projects with measurable SLAs.
• Excellent communication and independent decision-making abilities.
• Prior experience in retail or e-commerce infrastructure management.
• Mastery of cloud platforms (e.g., AWS) and DevOps methodologies.
• Hands-on agentic AI for infrastructure automation and autonomous remediation pipelines.

Responsibilities

• Lead infrastructure design and optimization for scalable, secure systems.
• Ensure performance SLAs for all systems and apps.
• Oversee Kubernetes clusters and resource usage.
• Investigate and resolve cloud incidents.
• Work autonomously while guiding cross-functional projects.
• Design and maintain agentic AI for self-healing workflows and IaC generation.

Skills

IT infrastructure design

Cost optimization

Project management

Communication & decision-making

Retail/e-commerce infra experience

Cloud platforms (AWS)

DevOps methodologies

Agentic AI for infra automation

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).

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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