Senior Software Engineer Team Lead

Quantolio; Montreal; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading company in portfolio analytics and AI-driven investment strategies is seeking a Lead Software Engineer in Montreal. This role involves designing scalable architectures, leading teams, and collaborating with clients. Ideal candidates will have significant experience in fintech, SaaS, and Generative AI systems, along with strong leadership and communication skills.

Benefits

Competitive base salary

Performance bonus

Professional development budget

Qualifications

• 7+ years in fintech or capital-markets technology.
• 5+ years leading SaaS teams in cloud, microservices, containers.
• 3+ years delivering production Generative AI systems.

Responsibilities

• Design and optimize multi-tenant microservices architecture.
• Lead LLM fine-tuning and data pipelines.
• Mentor and manage engineers using Agile practices.

Skills

Communication

Leadership

API Security

Cloud Technologies

Generative AI

Tools

Python

Kafka

QuantLib

Job description

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About Quantolio

Quantolio delivers a cloud-native SaaS platform for portfolio analytics, risk reporting, and AI-driven investment strategies to banks, hedge funds, and asset managers around the world. Founded in 2017 and headquartered in Montreal, with a New York City office, we’re scaling rapidly in capital markets.

What You’ll Do

• Platform Architecture & Scalability : Design and optimize a multi-tenant microservices architecture on AWS / GCP / Azure.
• Generative AI : Lead LLM fine-tuning, RAG workflows, data pipelines, and model monitoring.
• API Infrastructure : Build and maintain RESTful, gRPC, and event-driven APIs with secure authentication, rate limiting, and versioning.
• Team Leadership & Delivery : Mentor and manage engineers, DevOps, and QA using Agile / Lean practices—driving sprint planning, code reviews, and test automation.
• Client Collaboration : Partner on RFP responses, technical proposals, and on-site workshops for C-suite and quant stakeholders.

Required Qualifications

• 7+ years in fintech or capital-markets technology.
• 5+ years leading SaaS teams in cloud, microservices, containers, and data pipelines.
• 3+ years delivering production Generative AI systems (LLMs, fine-tuning, RAG).
• Deep expertise in securing and scaling enterprise APIs (REST, gRPC, WebSockets).
• Excellent communication with both technical and non-technical audiences.
• Full-time on-site presence at our Montreal office.

Preferred

• Proven track record of scaling a SaaS startup in capital markets.
• Experience with Python quant libraries (QuantLib, Backtrader, Pyfolio).
• Familiarity with real-time data platforms (Kafka, kdb+).
• Background in pre-sales engineering or technical consulting for financial services.

What We Offer

• Competitive base salary, performance bonus, and equity.
• Tackle game-changing problematics that drive real-world outcomes for institutional clients.
• Full-time in our modern Montreal office with core hours and occasional remote days.
• Professional development budget and leadership growth opportunities.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Research Services

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Lead Software Engineer • Montreal, Montreal (administrative region), Canada