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Salary
≈ $36k – $71k per year (Estimated)
Location
In office (Montreal)
Seniority
Junior · 4+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Aug 8, 2024. Squarepoint Capital scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Squarepoint Capital is a global quantitative investment manager that runs systematic trading strategies across equities, fixed income, foreign exchange, commodities and derivatives, built on in-house research, execution and portfolio management technology. Founded in 2014 as a spin-out of the quantitative trading business of Deutsche Bank, it operates offices in North America, Europe and Asia-Pacific, including New York, Montreal, Singapore, Bengaluru and Geneva. The firm is headquartered in London, England, United Kingdom.

Position Overview:  

Platform Applications Specialists at Squarepoint play an important technical role in delivering mission-critical platform infrastructure using the DevOps methodology.

In this position, you will have the opportunity to work with internal and external stakeholders on building and maintaining automated platform solutions and services used across the firm. You will also be responsible for designing, monitoring, and  platform infrastructure, and automating everyday tasks with scripting and configuration management tools.

If you’re looking for a challenging, fast-paced role where you can grow and learn from your peers, we encourage you to apply.

Required Qualifications:  

  • Degree in Engineering, Computer Science or similar discipline,
  • Up to 4 years of experience in DevOps, SRE, or platform engineering roles,
  • Experience with Python, git, Bash and Linux,
  • Excellent written and verbal communication skills,
  • Ability to work well in a fast-paced environment,
  • Eagerness to continuously learn new technologies and develop with us.

Nice to have:  

  • Experience with modern software development tooling, such as Gitlab, Artifactory or Docker,
  • Experience with infrastructure automation and configuration management, such as Ansible and Terraform,
  • Experience with HPC and orchestration technologies, such as Slurm or Kubernetes,
  • Experience with Databases and Observability systems, such as Elasticsearch, Datadog, Prometheus, PostgreSQL.
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