Role: DevOps and Automation Engineer (Software Infrastructure Team)
As a key member of our software infrastructure team, you will design, build, and optimize systems that support large-scale GPU clusters interconnected via NVLink and InfiniBand. These clusters run some of the fastest, most complex HPC and AI workloads in the world.
What You will Do:
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Develop and maintain robust CI/CD pipelines for rapid, reliable integration and deployment across intricate systems.
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Create automation tools and workflows to streamline software releases, manage dependencies, and boost system reliability.
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Modularize infrastructure components to enable independent release cycles and accelerate development.
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Automate provisioning, scaling, and management of GPU cluster infrastructure.
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Implement automated software updates and proactive system health monitoring to maximize uptime and availability.
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Troubleshoot and resolve operational issues across distributed environments.
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Manage firmware and software rollouts with minimal downtime and consistent execution.
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Collaborate with global engineering teams to align infrastructure tooling with project goals and deliverables.
What We are Looking For:
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Bachelors or Masters degree in Computer Science, Computer Engineering, or a related technical field.
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5+ years experience managing infrastructure or systems within high-performance or distributed computing environments.
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Strong expertise in scripting and automation using Python, Ansible, and Shell scripting.
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Hands-on experience with modern CI/CD platforms and infrastructure-as-code tools.
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Deep understanding of Linux systems, networking concepts, and distributed system architecture.
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Proven ability to decompose monolithic systems into scalable, loosely coupled components.
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Effective communication skills and adaptability to work across multinational, multi-time-zone teams.
What Will Make You Stand Out:
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Experience with cluster management tools like Slurm.
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Familiarity with NVIDIA DGX/HGX systems or other GPU-accelerated cluster environments.
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Knowledge of observability and monitoring tools such as Prometheus and Grafana.
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Demonstrated leadership in DevOps process improvement and team productivity enhancement.