Client

– Award winning Financial Trading firm run by passionate Computer Scientists

Salary

– Up to $220,000 + an exceptional bonus and package

Location

– Montreal, City based (stunning offices)

The Company A leading global quantitative investment firm, built on research, technology and data. Engineers here work closely with researchers and developers, and the platform they build underpins compute-intensive research and trading workloads across the business.

The Role You'll deliver and maintain mission-critical platform infrastructure using a DevOps methodology, working with developers, researchers and infrastructure teams to build, automate and scale the services used across the firm. The impact is direct: improving operational efficiency, building CI/CD pipelines and self-service workflows, and making life better for developers and researchers.

You may have deep expertise in one or two areas, but you'll be able to contribute across the whole ecosystem.

Platform Domains

Observability:

monitoring, tracing, logging and alerting

Scheduling and orchestration:

HPC schedulers and container orchestration, including Kubernetes

Development tools:

CI/CD, version control, artifact repositories and developer platforms

Middleware:





messaging queues, service discovery and load balancing

Databases:

relational, NoSQL and time-series systems

Automation:

infrastructure automation, configuration management and self-service enablement

Degree in Engineering, Computer Science or a related field

4+ years in DevOps, SRE or platform engineering

Linux system administration and troubleshooting (Bash, Docker, Kubernetes)

Infrastructure automation and configuration management (Ansible, Terraform, Puppet)

Nice to Have

Observability stack knowledge (Prometheus, Grafana, Elastic, Vector, AlertManager)

Database experience (PostgreSQL, ClickHouse, MSSQL, Redis, FoundationDB)

Middleware (Kafka, Consul), HPC schedulers (Slurm) or workflow orchestrators (Airflow, Prefect)

On-prem deployment of tools like GitLab, Artifactory, CI/CD or JupyterHub

API development and extending Kubernetes via custom controllers and CRDs

What's on Offer

Work on genuinely challenging, compute-intensive platform problems

A direct line to the researchers and developers who use what you build

A technology-first culture with real influence over platform direction

📌 Platform Engineer (Winnipeg)
🏢 Hunter Bond
📍 Winnipeg