Software Engineer (Distributed System & ML Infrastructure) - Elite Tech Firm - Up to $250k CAD [...]

Hunter Bond; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading tech firm in Montreal is seeking exceptional Software Engineers to join their world-class engineering team focused on complex distributed systems and ML infrastructure. Ideal candidates will have programming experience in Python and a strong interest in distributed systems. The firm offers ample tech resources, mentorship in Rust, and values innovation in its collaborative culture. This is an opportunity for engineers at all experience levels to work on greenfield projects with high stakes.

Qualifications

• Open to all experience levels.
• Strong understanding or interest in distributed systems and ML infrastructure.
• Experience in high-stakes, low-latency, mission-critical environments.
• Experience in high-stakes, low-latency, mission-critical environments.

Responsibilities

• Design and build high-performance, distributed systems for large-scale ML infrastructure.
• Drive best practices in software architecture, testing, and scalability.
• Lead and collaborate on multiple greenfield initiatives focused on performance and reliability.

Skills

Programming in Python

Distributed systems understanding

ML infrastructure interest

Rust enthusiasm

Excellent academic background

Experience in low-latency environments

Education

Bachelor’s degree or higher

Tools

None

Job description

Software Engineer (Distributed System & ML Infrastructure) - Elite Tech Firm

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Direct message the job poster from Hunter Bond

An Elite FinTech firm is expanding its world-class engineering team and looking for exceptional Software Engineers who thrive on solving complex distributed problems at scale.

You’ll be joining an elite group of engineers (alumni of NUS / McGill / MIT / Oxford) who have previously built systems at Meta, Twitter, Citadel, Ubisoft, and Jane Street!

This environment offers unlimited tech resources, total engineering autonomy, and a culture that genuinely celebrates innovation and curiosity.

Role

• Design and build high-performance, distributed systems for large-scale ML infrastructure
• Drive best practices in software architecture, testing, and scalability
• Lead and collaborate on multiple greenfield initiatives focused on performance, reliability, and scale

Skills

• Open to all experience levels
• Proven experience coding in Python
• Strong understanding or interest in distributed systems and ML infrastructure
• Enthusiasm to learn Rust (supported by internal mentorship and training)
• Excellent academic background
• Experience in high-stakes, low-latency, mission-critical environments where reliability and performance are non-negotiable