Software Engineer

Motion Recruitment; Toronto; Hybrid; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Paid holidays

Job summary

Motion Recruitment is seeking an intermediate Backend Software Engineer to join a Platform Engineering team at a Canadian fintech HQ in downtown Toronto. The role focuses on building backend infrastructure for internal and customer-facing chatbot solutions, leveraging Java and Kotlin microservices to connect enterprise apps with LLMs.

Working on a hybrid schedule (3 days onsite per week) in Downtown Toronto, the position runs as an 8-month T4 contract with extension potential and perks like paid

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical work experience.
• 5+ years of professional backend software development experience, primarily in Java.
• Hands-on experience developing services in Kotlin (or strong ability to work with Kotlin microservices).
• Solid proficiency with relational database systems (RDBMS) and SQL design for scalable storage.
• Proven track record delivering high-volume, mission-critical production platform services with low latency and reliability.
• Self-driven problem solver with ownership in collaborative teams.

Responsibilities

• Architect and develop high-throughput Java and Kotlin microservices that orchestrate requests between front-end interfaces and LLM/AI services.
• Focus on core backend platform and data architecture, with no client-side responsibilities.
• Manage routing and persistence layers for intelligent conversational workflows.

Skills

Java

Kotlin

RDBMS

SQL

High-volume

Low latency

Ownership

Education

Bachelor’s or Master’s degree in CS/SE or equivalent

Job description

One of the country's largest financial technology companies is searching for an intermediate level Backend Software Engineer to join their Platform Engineering team on a hybrid basis at their Canadian headquarters in downtown Toronto. In this role, you will build cutting-edge backend infrastructure for internal and customer facing chatbot solutions through conversational AI routing and high-scale data layers that connect enterprise applications to state-of-the-art LLMs. You will drive core backend architecture, shaping the systems that power responsive, intelligent conversational experiences across massive user bases.

This exciting opportunity to develop and scale mission-critical conversational AI infrastructure begins as an 8-month T4 contract with strong extension potential, operating on a hybrid schedule (3 days onsite per week) in downtown Toronto, ON. You will collaborate within an innovative, low-ego engineering environment with ample opportunity for professional advancement, and you will be fully integrated with the team enjoying certain contractor perks including paid holidays.

Responsibilities

• Focus entirely on core backend platform and data architecture, with zero client-side or frontend responsibilities.
• Architect and develop high-throughput Java and Kotlin microservices that orchestrate requests between front-end interfaces and LLM/AI services.
• Manage routing and persistence layers for intelligent conversational workflows and internal expert assistance tools.
• Design and maintain resilient, production-ready relational database schemas to store dialogue histories and operational data at massive enterprise scale.
• Collaborate across multidisciplinary teams in a fast-paced DevOps environment, taking end-to-end ownership from technical design to production deployment.

Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical work experience.
• 5+ years of professional backend software development experience, primarily in Java.
• Hands-on experience developing services in Kotlin (or strong desire and ability to work with Kotlin microservices).
• Solid proficiency with relational database systems (RDBMS) and SQL design for structured, scalable data storage.
• Proven track record delivering high-volume, mission-critical production platform services with an emphasis on low latency and reliability.
• Self-driven problem solver with strong ownership, capable of thriving in collaborative, low-ego enterprise engineering teams without requiring hand-holding.

Preferred Qualifications

• Prior experience working within platform engineering or foundational infrastructure teams.
• Direct background integrating large language models (LLMs) or building conversational AI runtime and orchestration systems.
• Deep expertise in service discovery, API gateway design, and cloud-native microservice architecture.