Java · Kubernetes
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 â 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 co