Jobs at EveryMatrix

Lead client feature scoping, estimation, and timeline planning; create detailed UXM tasks and documentation; coordinate releases and deployments; track progress and report delays; manage stakeholder communications, demos, and project roadmap; remove blockers and propose process improvements.

Lead frontend development on React-based and Astro white-label website projects. Deliver, review, and refactor code, optimize performance and scalability, handle incidents, document systems, mentor peers, and collaborate with product and QA to ship features on schedule.

Design and execute manual and automated UI and API tests (primarily using Playwright). Translate requirements into test scenarios, develop and maintain automation, integrate tests into CI/CD, investigate failures, report risks, and collaborate with product and engineering teams to improve quality.

Join the UXMatrix team to build and maintain frontend features for iGaming products using JavaScript, React and Redux. Implement, test, document, review, and refactor code; handle production incidents and collaborate with product, QA, and support teams. Work within Kanban, follow coding standards, and contribute to continuous delivery pipelines.

Design, implement and maintain core backend services for a high-throughput sportsbook platform. Participate in full development lifecycle, uphold code quality, collaborate with stakeholders, optimize performance, write tests, and troubleshoot production issues for scalable microservices handling millions of requests per day.

Lead day-to-day execution and modernization of PartnerMatrix product, translate strategy into shipped features, ensure data integrity, collaborate with engineering, design and commercial teams, drive automation and applied AI, monitor performance and iterate to improve commercial metrics and partner lifecycle outcomes.

Design and deploy high-throughput LLM inference systems on NVIDIA hardware, optimize GPU cluster and KV cache strategies for long contexts, lead model fine-tuning with PEFT (LoRA/QLoRA), implement prompt engineering and RAG, build LangChain/AutoGen-based applications, and develop enterprise code-assist and customer-service platforms integrating IVR/ACD.