Job specializations:
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IT/Tech
Job Description & How to Apply Below
Location: Montreal
Client – Award winning Financial Trading firm run by passionate Computer Scientists
Salary – Up to $210,000 + 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 Dev Ops 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, No
SQL 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 Dev Ops, 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, Alert Manager)
Database experience (PostgreSQL, Click House, MSSQL, Redis, Foundation DB)
Middleware (Kafka, Consul), HPC schedulers (Slurm) or workflow orchestrators (Airflow, Prefect)
On-prem deployment of tools like Git Lab, Artifactory, CI/CD or Jupyter Hub
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
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