Overview
We are seeking a highly skilled Senior Engineer to contribute to the design, development, and optimization of high-performance computing (HPC) systems that support advanced research and analytics. This individual will work across multiple infrastructure domains including compute, storage, and Kubernetes orchestration, both on-premises and in the cloud.

Responsibilities

• Build, scale, and optimize the firm’s HPC environment supporting research workloads.

• Develop and maintain a global storage platform spanning multiple datacenters and environments.

• Contribute to the administration and optimization of Linux servers.

• Develop and manage Kubernetes clusters across AWS and on-premises environments.

• Enhance and support proprietary task scheduling systems for high-throughput computing.

Cultural Fit

• Naturally curious and passionate about emerging technologies and continuous learning.

• Strong collaborator with excellent communication skills.

• Creative problem-solver who designs innovative solutions rather than reassembling existing ones.

• Committed to automation and infrastructure-as-code best practices.

Technical Qualifications

• Deep expertise in Linux systems (kernel operations, performance tuning, troubleshooting).

• Extensive experience in software and systems design.

• Strong programming skills in at least one compiled language (C++ or Go preferred) and one interpreted language (Python, Ruby, or Perl).

• Proven experience with Kubernetes architecture, customization, and advanced deployment patterns.

• Skilled at diagnosing and resolving complex, low-level system issues.

• Understanding of AI/ML workloads and their unique infrastructure requirements.

• Background in performance engineering and modern HPC environments.

Preferred Experience (Bonus Points)

• Enterprise storage systems and parallel filesystems (Vast Data, Weka, NetApp, Pure, Lustre, GPFS).

• Infrastructure-as-code tools such as Terraform, Ansible, or Puppet.

• Observability and monitoring stacks (Prometheus, Grafana, etc.).

• Networking protocols and troubleshooting within distributed systems.

• Experience with advanced I/O hardware configuration and optimization.