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

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