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Job Description
<p><p><b>Role Overview :</b><br/><br/>We are seeking a Senior Golang Engineer (6-7 years experience) to design, develop, and enhance our core API components.
</p><p><br/></p><p>This role involves deep systems-level programming, working across cluster management, GPU nodes, storage operations, and the user/admin control planes.
The ideal candidate will bring strong backend engineering expertise in Golang and hands-on experience with networking, storage, and distributed system operations.<br/><br/><b>Key Responsibilities :</b><br/><br/>Develop, maintain, and optimize Golang-based APIs across :<br/><br/></p><p>- KVM cluster management<br/><br/></p><p>- GPU node orchestration<br/><br/></p><p>- Storage management layer<br/><br/></p><p>- Admin and user dashboard components<br/><br/></p><p>- Modify and extend existing API code to support evolving platform needs.<br/><br/></p><p>- Implement features around networking, storage operations, crypto libraries, CLI execution, and logging.<br/><br/></p><p>- Ensure scalability, resilience, and security of backend components.<br/><br/></p><p>- Collaborate with frontend, DevOps, and platform engineering teams to deliver integrated features.<br/><br/></p><p>- Contribute to system design, code reviews, debugging, and performance tuning.<br/><br/><b>Requirements :</b><br/><br/>- 6-7 years of backend engineering experience, with strong expertise in Golang.<br/><br/></p><p>- Deep understanding of API development, distributed systems, and system-level programming.<br/><br/></p><p>Hands-on knowledge of :<br/><br/></p><p>- KVM clusters and virtualization concepts<br/><br/></p><p>- Networking and storage operations<br/><br/></p><p>- Local CLI tool execution and automation<br/><br/></p><p>- Cryptography libraries and secure API design<br/><br/></p><p>- Logging and monitoring frameworks<br/><br/></p><p>- Experience with Git, CI/CD pipelines, and containerized environments.</p><p><br/></p><p>- Strong problem-solving skills, debugging abilities, and a mindset for building robust, production-grade systems.<br/><br/><b>Nice to Have :</b><br/><br/>- Experience with Kubernetes, hypervisors, or GPU workloads.<br/><br/></p><p>- Familiarity with multi-tenant cloud infrastructure.<br/><br/></p><p>- Exposure to performance optimization and high-availability systems.<br/><br/><b>Why Join Us?</b><br/><br/>- Work on core engineering challenges in AI cloud infrastructure.<br/><br/></p><p>- Build and optimize mission-critical systems that power GPUaaS globally.<br/><br/></p><p>- Join a high-impact team shaping the future of GPU utilization and AI platforms.<br/><br/></p><p>- Competitive compensation, ownership, and opportunities for technical leadership.</p><br/></p> (ref:hirist.tech)
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