Java Developer
Clera
midpermanentbackenddevops Los Angeles Yesterday via RemoteOK
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JavaJVMKubernetesDockerDistributed SystemsCloud-NativeGitOpsGPU SchedulingML InfrastructureHigh-Performance Computing
About the role
Role Overview
Join Clera’s small, high-impact engineering team as a Java Developer. You’ll build backend services and infrastructure tooling that power Clera’s distributed systems platform for GPU-intensive AI workloads.
What You’ll Do
- Translate customer requirements into robust, scalable Java solutions.
- Design, develop, and maintain backend services and infrastructure tooling.
- Collaborate with product and infrastructure engineers to deliver features end-to-end.
- Improve reliability and performance for systems supporting:
- AI inference pipelines
- Distributed training
- Storage orchestration
- GPU scheduling workloads
- Participate in code reviews, architectural discussions, and continuous improvements to engineering practices.
Requirements
- Solid hands-on experience with Java and the JVM ecosystem.
- Familiarity with distributed systems and cloud-native environments.
- Experience with Kubernetes and containerization (Docker) or related infrastructure tooling.
- Strong problem-solving skills in a fast-paced, early-stage environment.
- Clear communication skills for direct collaboration within a small team.
Nice to Have
- Experience with GitOps workflows/tools (e.g., Flux, Argo CD).
- Exposure to GPU scheduling, ML infrastructure, or high-performance computing (HPC) environments.
- Familiarity with open-source contribution practices.
- Experience working in startups/early-stage companies.
Compensation & Location
- Full-time role in Los Angeles, CA, USA (company also has presence in San Francisco, CA).
- Compensation not specified; equity participation is typical for this VC-backed early-stage company.
- Visa sponsorship is not available.
About Clera
Clera is an early-stage, venture-backed AI infrastructure company focused on building production-ready, Kubernetes-based systems for GPU-intensive workloads. Its platform helps customers move from bare metal to fully operational AI clusters quickly, enabling large-scale AI inference, training, and cluster operations.
Scraped 8/6/2026