Senior Golang Engineer

3 weeks ago

Bengaluru, Karnataka, India Frequency Full time

Role Overview :

We are seeking a Senior Golang Engineer (6-7 years experience) to design, develop, and enhance our core API components.

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.

Key Responsibilities :

Develop, maintain, and optimize Golang-based APIs across :

- KVM cluster management

- GPU node orchestration

- Storage management layer

- Admin and user dashboard components

- Modify and extend existing API code to support evolving platform needs.

- Implement features around networking, storage operations, crypto libraries, CLI execution, and logging.

- Ensure scalability, resilience, and security of backend components.

- Collaborate with frontend, DevOps, and platform engineering teams to deliver integrated features.

- Contribute to system design, code reviews, debugging, and performance tuning.

Requirements :

- 6-7 years of backend engineering experience, with strong expertise in Golang.

- Deep understanding of API development, distributed systems, and system-level programming.

Hands-on knowledge of :

- KVM clusters and virtualization concepts

- Networking and storage operations

- Local CLI tool execution and automation

- Cryptography libraries and secure API design

- Logging and monitoring frameworks

- Experience with Git, CI/CD pipelines, and containerized environments.

- Strong problem-solving skills, debugging abilities, and a mindset for building robust, production-grade systems.

Nice to Have :

- Experience with Kubernetes, hypervisors, or GPU workloads.

- Familiarity with multi-tenant cloud infrastructure.

- Exposure to performance optimization and high-availability systems.

Why Join Us?

- Work on core engineering challenges in AI cloud infrastructure.

- Build and optimize mission-critical systems that power GPUaaS globally.

- Join a high-impact team shaping the future of GPU utilization and AI platforms.

- Competitive compensation, ownership, and opportunities for technical leadership.

(ref:hirist.tech)

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