With the Ranks

The Scout Product Family is our most compact enclosure option, designed for smaller automation ideas and installs where space is limited. It is a strong fit for DIY projects, compact control applications, and customers who want a clean enclosure they can use almost anywhere they have power. Please mention the word **STRONGER** and tag RMTUxLjgwLjE0Ni43Mw== when applying to show you read the job post completely (#RMTUxLjgwLjE0Ni43Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Posted 5 Aug 2026

About the Role We are an early-stage, venture-backed AI infrastructure company building production-ready Kubernetes-based systems for GPU-intensive workloads. Our platform helps companies go from bare metal to fully operational AI clusters in days, and we're looking for a Java Developer to join our small, high-impact engineering team. What You'll Do Understand customer requirements and translate them into robust, scalable Java-based solutions. Design, develop, and maintain backend services and infrastructure tooling that supports our distributed systems platform. Collaborate closely with product and infrastructure engineers to deliver features end-to-end. Contribute to the reliability and performance of systems handling AI inference pipelines, distributed training, storage orchestration, and GPU scheduling workloads. Participate in code reviews, architectural discussions, and continuous improvement of engineering practices. What We're Looking For Required: Solid hands-on experience with Java development and the JVM ecosystem. Familiarity with distributed systems concepts and cloud-native environments. Experience working with or around Kubernetes, containerization (Docker), or related infrastructure tooling. Strong problem-solving skills and ability to work effectively in a fast-paced, early-stage environment. Clear communication skills — we are a small team and direct collaboration matters. Nice to have: Experience with GitOps workflows or tools (e.g., Flux, ArgoCD). Exposure to GPU scheduling, ML infrastructure, or high-performance computing environments. Familiarity with open-source contribution practices. Experience in a startup or early-stage company setting. Compensation & Benefits Compensation details were not provided for this role. This is a full-time position at an early-stage, VC-backed company where equity participation is typical. Details will be discussed during the interview process. Location This role is based in Los Angeles, CA, USA . The company …

Posted 5 Aug 2026