Senior Backend Software Engineer – GeForce NOW Cloud

GeForce NOW is Nvidia's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities – low-end PCs, Macs, or mobile devices. Using the most sophisticated GPUs and Nvidia proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play! For more details, see http://www.geforce.com/geforce-now. We are looking for a Senior Backend Software Engineer who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW. You will require a deep understanding of programming languages, distributed systems, multi-threading, and most importantly, cloud services. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence. What you'll be doing: Design, build, and scale distributed cloud-based systems for a high-performance SaaS/PaaS platform. Develop microservices and APIs to support a scalable gaming infrastructure. Collaborate cross-functionally to drive new features, optimize existing systems, and enhance overall platform reliability. Influence the technology stack, architecture, and development methodology. Drive automation, monitoring, and performance tuning. Build and maintain scalable test harnesses to validate system performance at scale. Guide and mentor junior engineers, enabling high-quality code delivery and best practices. What we need to see: B.S. or M.S. in Computer Science or equivalent program from an accredited University/College (or equivalent experience). 8+ years of hands-on industry experience delivering SaaS/PaaS. Strong self-initiative, passion, interpersonal skills, and adaptability to new technology. Proven experience in developing and scaling RESTful APIs and backend services. Deep knowledge of cloud infrastructure and distributed system design (load balancing, security, microservices, service discovery). Demonstrated skills in a wide variety of languages, including Java, Golang, and Python. Experience with Spring Boot and Java-based microservices architecture. Familiarity with infrastructure as code, container orchestration (Kubernetes, ECS, OpenStack). Experience with NoSQL databases (Cassandra, Firebase) and caching solutions (Redis). Deep understanding and experience in writing testable, maintainable, and performant codebases. Ways to stand out from the crowd: Background with C++ and systems-level programming. Experience deploying systems at cloud scale with high availability. Background with CI/CD pipelines (Jenkins, GitLab CI) and building and maintaining test frameworks that validate functionality at scale. Exposure to AI-assisted development tools and a passion for using LLMs to enhance development productivity. Experience analyzing data to study cloud services and foresee potential areas of improvement.

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