Site Reliability Engineer (HPC / AI Infrastructure) | Bengaluru, India | On-Site

Location: Bengaluru, India (On-site – mandatory)
Employment Type: Full-time
Industry: AI / High-Performance Computing / Autonomous Systems
Start Date: ASAP

We are partnering with a global technology leader building next-generation AI, machine learning, and high-performance computing (HPC) infrastructure supporting autonomous systems and advanced robotics.

We are seeking a Site Reliability Engineer (SRE) – HPC / AI Infrastructure to maintain and optimise large-scale GPU clusters, high-throughput networks, and distributed compute environments that power neural network training at scale.

This is a mission-critical role focused on reliability, automation, performance optimisation, and infrastructure scalability within complex AI/ML environments.

• Support and operate large-scale AI/ML cluster infrastructure on GPU platforms

• Drive automation, configuration management, and scalable infrastructure deployment

• Improve monitoring, alerting, and self-healing systems

• Optimise server, storage, and network performance

• Develop automation tools using Python, Golang, or Bash/Shell

• Implement Infrastructure as Code (IaC) best practices

• Enhance security posture across compute environments

• Participate in 24x7 on-call rotation

• Collaborate closely with AI/ML engineering teams to streamline neural network training workflows

• Strong proficiency in Linux fundamentals and performance tuning

• Experience with HPC workload schedulers (e.g., Slurm, LSF)

• Experience managing parallel file systems and high-performance storage

• Proficiency in Python, Golang, and/or Bash

• Hands-on experience with configuration management tools (e.g., Ansible)

• Experience with monitoring and observability tools (Prometheus, Grafana, Splunk, etc.)

• Familiarity with containerisation technologies such as Kubernetes

• Experience with GPU-based computing systems and high-throughput, low-latency networks is highly desirable

• Bachelor’s degree in Computer Science, Engineering, Physics, or equivalent practical expertise

• 3+ years of relevant experience in site reliability, DevOps, or infrastructure engineering

• Opportunity to work on cutting-edge AI and high-performance computing systems

• Exposure to large-scale GPU clusters and distributed compute environments

• High-impact engineering role supporting mission-critical AI initiatives

• Collaborative, performance-driven technical culture

• Competitive compensation and growth opportunities

This is an opportunity to operate at the core of AI infrastructure powering advanced autonomous and machine learning systems. Ideal for engineers passionate about reliability engineering, automation, and optimising high-scale compute environments.