Kubernetes & HPC Platform Engineer – Trading

Hunter Bond

Toronto

On-site

CAD 120,000 - 250,000

Full time

14 days+

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Job summary

Hunter Bond is seeking a Kubernetes & HPC Platform Engineer in Toronto to join an elite FinTech team. You will support and develop platforms focused on scheduling and orchestration surrounding High Performance Computing technologies.

The ideal candidate will possess strong experience with Kubernetes and GPU environments, collaborating with various technical teams and utilizing tools like Slurm, Python, and additional technologies such as Docker and Terraform.

Qualifications

  • Strong experience with High Performance Computing.
  • Deep knowledge of Kubernetes.
  • Experience working with GPU environments.
  • Experience with Slurm scheduling.
  • Strong Python skills.

Responsibilities

  • Supporting and developing Kubernetes and HPC platforms.
  • Working with scheduling and orchestration tools such as Slurm.
  • Supporting GPU-based workloads.
  • Writing and maintaining Python scripts where required.

Skills

High Performance Computing
Kubernetes
GPU environments
Slurm scheduling
Python

Tools

Airflow
Prefect
GitLab
Docker
ELK stack
Ansible
Terraform

Job description

Role: Kubernetes & HPC Platform Engineer – Trading

Client: Elite FinTech

Compensation: $120,000 - $250,000 CAD + Bonus

Location: Toronto

Overview

My client are seeking an Engineer to join a highly technical team focused on the scheduling side of technology.

You will work extensively with HPC technologies and have deep knowledge of Kubernetes.

The role is broad and interacts with many different technical teams throughout the organisation.

The Role

Scheduling Platform: Working on the scheduling and orchestration side of technology within a trading environment.

HPC: Extensive use of High Performance Computing technologies.

Collaboration: Interacting with multiple technical teams across the organisation.

Key Responsibilities
  • Platform Engineering: Supporting and developing Kubernetes and HPC platforms.
  • Scheduling: Working with scheduling and orchestration tools such as Slurm.
  • GPU Workloads: Supporting GPU-based workloads.
  • Automation: Writing and maintaining Python scripts where required.
Requirements
  • HPC: Strong experience with High Performance Computing.
  • Kubernetes: Deep knowledge of Kubernetes.
  • GPU: Experience working with GPU environments.
  • Slurm: Experience with Slurm scheduling.
  • Python: Strong Python skills.
Desirable
  • Airflow: Experience with Airflow.
  • Prefect: Experience with Prefect.
  • GitLab: Experience with GitLab.
  • Docker: Experience with Docker.
  • ELK: Experience with ELK stack.
  • Ansible: Experience with Ansible.
  • Terraform: Experience with Terraform.

If this is of interest, please apply ASAP for more information.

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