Staff Engineer, Cloud & TechOps

GameStop • Grapevine, TX

3d • Onsite

About The Position

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.

Requirements

• Strong background in IT infrastructure design, implementation, and management, with an architect-level understanding of network, storage, cloud, and server architecture.
• Proven experience utilizing data to identify and work cross-organizationally to drive the implementation of cost-saving opportunities.
• Skilled in managing large-scale infrastructure projects, with a focus on performance outcomes and service level agreements.
• 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.
• Hands-on experience with agentic AI systems for infrastructure automation (AI-driven runbook execution, LLM-based ops tooling, autonomous remediation pipelines).

Responsibilities

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed