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Platform Engineer - fintech - Montreal - $250,000+ bonus!

  • Montreal, QC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Title – Platform Engineer

Client – Award winning Financial Trading firm run by passionate Computer Scientists

Salary – Up to $250,000 + 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

Essential Skills

  • Degree in Engineering, Computer Science or a related field
  • 4+ years in DevOps, SRE or platform engineering
  • Python software development
  • Linux system administration and troubleshooting (Bash, Docker, Kubernetes)
  • Infrastructure automation and configuration management (Ansible, Terraform, Puppet)

Nice to Have

  • Hands-on Kubernetes: cluster operations, scheduling compute-intensive jobs, custom Operators
  • 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
  • Go, Rust or JavaScript
  • 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

Please register your interest by applying directly here or feel free to email me: jhayne@hunterbond.com!

More about this job

Responsibilities

Build, automate, maintain, and scale mission-critical platform infrastructure supporting compute-intensive research and trading workloads. Improve operational efficiency and developer and researcher workflows through CI/CD pipelines, self-service tools, and collaboration across development, research, and infrastructure teams.

Requirements

Requires a degree in engineering, computer science, or a related field, at least four years of DevOps, SRE, or platform engineering experience, and Python development skills. Candidates should also have Linux administration and troubleshooting experience, including Bash, Docker, and Kubernetes, plus infrastructure automation and configuration management experience with tools such as Ansible, Terraform, or Puppet.

Skills

  • Python
  • Linux System Administration
  • Bash
  • Docker
  • Kubernetes
  • Infrastructure Automation
  • Configuration Management
  • Ansible
  • Terraform
  • Puppet
  • CI/CD
  • Observability
  • Prometheus
  • Grafana
  • PostgreSQL
  • Kafka

Visa sponsorship

Not detected in the job text

Hiring contact email

jhayne@hunterbond.com

Categories

  • Technology
  • Software
  • Finance & Accounting
  • Engineering

Keywords

  • Platform Engineering
  • DevOps
  • Site Reliability Engineering
  • Python
  • Linux
  • Bash
  • Docker
  • Kubernetes
  • Infrastructure Automation
  • Configuration Management
  • Ansible
  • Terraform
  • Puppet
  • CI/CD
  • Observability
  • Prometheus
  • Grafana
  • Elastic
  • Vector
  • AlertManager
  • PostgreSQL
  • ClickHouse
  • Redis
  • Kafka
  • Consul
  • Slurm
  • Airflow
  • Prefect
  • Quantitative Investment
  • Financial Trading

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