Lead Software Engineer - Python
at Hitmarker
Grapevine, TX, USA, onsite, senior, full time, 8+ years
seen 3d ago
- Redux
- Playwright
- SRE
- Cloud Engineering
- Infrastructure-as-code
- LLM
- React
- GitHub Copilot
- Backend Development
- DevOps
- Frontend Development
- CI/CD
- Pytest
- AWS
- Full Stack Development
- Python
- Kubernetes
About the role
* * 🇺🇸Grapevine, TX, USA * Senior (5+ years) * Full Time * Salary not listed * Posted
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G
GameStop
Public Company
GameStop offers games, entertainment products and technology through its e-commerce properties and stores.
Headquarters
Grapevine, TX, USA
Headcount
5,001+ people
Founded
1984
gamestop.com
GameStop on LinkedIn GameStop on X
This position helps establish a brand-new platforms team within the engineering organization. You will collaborate closely with engineering leadership and many other engineering teams to build new systems from the ground up. The ideal candidate leads the development of robust, cloud-native back-end solutions and contributes significantly to intuitive, responsive front-end interfaces — while setting the standard for AI-assisted engineering, automated quality, and modern cloud architecture across the team.
This position sits onsite in Grapevine, TX 5 days per week.
What you would do
Engineering & Architecture
* Architect, design, and build critical back-end systems — such as payments and transaction technologies — as well as intuitive front-end interfaces. * Design and operate cloud-native systems on a major cloud platform (AWS, Azure, or GCP), using Kubernetes, containers, microservices, and service-oriented architecture, with an eye to scalability, resilience, and cost efficiency. * Own non-functional concerns — observability, performance, security, and operational reliability (SRE practices, SLOs) — for the platforms the team builds.
AI-Forward Engineering
* Lead adoption of AI-assisted development and agentic tooling (e.g., GitHub Copilot, Claude Code, LLM-based code review and test generation), modeling best practices for the new platforms team. * Establish quality and security guardrails so AI accelerates delivery without degrading code quality, IP integrity, or compliance. * Evaluate and integrate AI/LLM capabilities into products and developer workflows where they add measurable value.
Read from hitmarker.net, last seen 3d ago.