Senior Engineer, Advanced Computing

As a Senior Engineer, you will:

• Contribute and build our HPC environment used for research.
• Develop and maintain our global storage offering for the firm across multiple datacenters and environments.
• Contribute to our Linux servers.
• Develop and maintain our Kubernetes estate for the firm both on AWS and on-prem.
• Develop and improve our proprietary task scheduling system.

To be considered a good cultural fit, you must be:

• Naturally curious with passion for emerging technologies and continuous learning.
• Collaborative mindset with excellent communication skills
• Innovative problem-solver who can design elegant solutions to complex technical challenges, not just re-use or re-assemble existing solutions.
• Committed to automation and infrastructure as code principles

To be considered a good technical fit, you must have:

• Expertise with Linux systems, including kernel operations, performance tuning, and troubleshooting complex system issues
• Extensive software and system design experience
• Proficient in programming with at least one compiled language (C++ and Go are preferred), and one interpreted language, such as Ruby, Python, or Perl
• Proven experience with Kubernetes architecture, including customization, operators, and advanced deployment patterns
• Ability to diagnose and resolve low-level system issues through methodical analysis and creative problem-solving
• Experience with AI/ML workloads and understanding their unique infrastructure requirements
• Performance engineering and experience in modern HPC environments

Bonus Points for:

• Experience with enterprise storage systems and parallel filesystems (e.g.: Vast Data, Weka, NetApp, Pure, Lustre, GPFS)
• Familiarity with infrastructure-as-code tools (Terraform, Ansible, Puppet, etc.)
• Experience with observability stacks (Prometheus, Grafana, etc.)
• Knowledge of networking protocols and troubleshooting in distributed systems
• Experience configuring and working with advanced I/O hardware