Description

You will design, develop, and deploy full-stack web applications supporting large-scale AI infrastructure operations.

This role is hybrid.

Responsibilities

• Develop APIs and backend services for job schedulers and cluster operations.
• Build user interfaces and backend services to improve visibility and control over large-scale GPU clusters.
• Collaborate with AI/ML teams to create tools that accelerate their workflows.
• Define and track metrics measuring platform efficiency, resilience, and developer productivity.
• Drive engineering excellence across testing, CI/CD, code quality, and performance.

Required Skills

• 8+ years of experience developing software infrastructure for large-scale AI systems.
• Proficiency in full-stack development using JavaScript (Vue or React), Node.js, Python, and/or Golang.
• Experience with distributed systems and cloud-native technologies including Docker, Kubernetes, and Microservices.
• Familiarity with observability stacks such as ELK, OpenSearch, Prometheus, or Grafana.
• Strong debugging and root cause analysis skills across application and infrastructure layers.
• Experience with large-scale AI training, inference, or data infrastructure services.
• Ability to lead architectural discussions and mentor junior engineers.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate