Senior Infrastructure Engineer

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, deploy, operate, and continuously improve OpenStack and Kubernetes environments supporting high-performance GPU workloads.
• Take end-to-end ownership of infrastructure performance, scalability, resilience, and operational reliability.
• Build and maintain infrastructure using infrastructure-as-code, GitOps, CI/CD, and Git-based operational practices.
• Automate provisioning, deployment, configuration, and recurring infrastructure workflows to improve efficiency and consistency.
• Optimize GPU workload scheduling using Kubernetes and NVIDIA technologies to maximize platform performance and resource utilization.
• Implement and improve monitoring, logging, alerting, and observability systems to identify and resolve infrastructure issues proactively.
• Lead incident response activities, troubleshoot complex production problems, and drive post-incident improvements that strengthen overall reliability.
• Maintain robust security controls across infrastructure and container environments, including RBAC, network policies, access controls, and tenant isolation.
• Build, rack, cable, configure, and commission physical server and GPU infrastructure within data-centre environments.
• Work with networking and storage systems to ensure reliable, scalable infrastructure for compute-intensive workloads.
• Collaborate with Platform, DevOps, AI, Product, and Support teams to align infrastructure capabilities with technical and customer requirements.
• Contribute to the continuous evolution of infrastructure architecture and operational practices as global environments scale.
• Identify opportunities to improve automation, performance, reliability, and operational efficiency across the infrastructure platform.

Requirements

• Extensive hands-on experience administering Linux systems, with strong technical depth across operating systems, troubleshooting, and infrastructure operations.
• Proven experience physically building, assembling, cabling, configuring, and commissioning servers and racks.
• Direct hands-on experience working in data centres, including physically installing and racking hardware on-site.
• Willingness and ability to travel to data-centre sites in Quebec as required.
• Strong understanding of networking and storage technologies and their role within large-scale infrastructure environments.
• Experience installing, racking, and configuring GPU hardware is highly advantageous, particularly with NVIDIA platforms.
• Production experience operating OpenStack and/or Kubernetes at scale is strongly preferred.
• Experience with infrastructure automation, infrastructure-as-code, CI/CD pipelines, GitOps, and Git-based workflows is an advantage.
• Exposure to high-performance computing, large-scale compute, or other demanding infrastructure environments is desirable.
• Experience with Kubernetes GPU scheduling and NVIDIA tooling is a plus.
• Strong troubleshooting and analytical abilities, with a methodical approach to diagnosing complex infrastructure issues.
• Ability to take ownership of systems from design through deployment, operation, troubleshooting, and continuous improvement.
• Comfortable working in a fast-paced environment where priorities can evolve and engineers are trusted to make decisions independently.
• Strong collaboration and communication skills, with the ability to work effectively across technical and non-technical teams.
• Contributions to open-source infrastructure or technology projects are a plus.

Benefits

• Competitive salary.
• Annual discretionary bonus scheme.
• Employee wellbeing benefits.
• 25 days of annual holiday plus public holidays.
• Flexible working arrangements, with remote or hybrid options depending on role and location.
• Significant autonomy and ownership, with the freedom to take initiative and experiment.
• Opportunity to work on challenging, high-performance AI and GPU infrastructure.
• Visible impact on infrastructure reliability, scalability, and customer experience.
• Clear career progression and professional growth opportunities.
• Collaborative international environment built around trust, transparency, and ownership.
• Opportunity to contribute to the evolution of a rapidly scaling AI infrastructure platform and its engineering culture.