Senior Kubernetes Engineer

Job Title: Senior Software Engineer AI Research Clusters

Location: Remote

Employment Type: Full-time

Role Overview
We are seeking a Senior Software Engineer to design, build, and optimize large-scale AI research clusters. This role focuses on distributed systems, high-performance computing, and infrastructure that supports AI/ML workloads such as model training and experimentation.

Key Responsibilities

• Design and manage scalable AI research infrastructure and compute clusters.
• Build and optimize distributed systems for large-scale model training and data processing.
• Develop tools and frameworks to support researchers and ML engineers.
• Work closely with AI researchers to understand workload requirements and improve system efficiency.
• Optimize GPU/CPU utilization, storage, and networking performance.
• Implement scheduling, resource allocation, and workload orchestration systems.
• Ensure system reliability, monitoring, and fault tolerance.
• Automate infrastructure provisioning using Infrastructure as Code (IaC).
• Troubleshoot performance bottlenecks and system failures.

Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field. Strong programming skills in Python, Go, C++, or similar. Experience with distributed systems and parallel computing. Hands-on experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) or on-prem HPC clusters. Understanding of networking, storage systems, and system performance tuning.

Preferred Skills
Experience with ML frameworks (TensorFlow, PyTorch). Familiarity with GPU computing (CUDA, NCCL). Knowledge of cluster schedulers (Slurm, Kubernetes schedulers). Experience with big data tools (Spark, Ray). Exposure to MLOps and experiment tracking tools.

Key Competencies
Strong problem-solving and systems thinking Collaboration with research and engineering teams Performance optimization mindset Ownership and accountability

For applications and inquiries, contact: hirings@openkyber.com