Hybrid Senior Software Developer – AI Platform

at Genetec

• Job title: Senior Software Developer – AI Platform
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Airflow, Cloud, Kubernetes, Python, Spark, Terraform, Go
• Location requirements: Hybrid, Montreal, Canada

About the role

• Senior Software Developer focused on AI platforms at Genetec, enhancing physical security solutions through scalable inference technologies. Join a diverse, growing team committed to innovation.

Responsibilities

• Enable cost-effective, scalable management of high-quality datasets
• Design and maintain self-service capabilities for data acquisition, annotation, transformation and versioning so developers and data specialists can quickly and continuously move from raw data to clean, versioned datasets
• Facilitate tracking of data lineage and data governance
• Provide tools to build transformation pipelines that incorporate data quality checks
• Enable experimentation with data and models
• Allow researchers to track their experiments and reproduce previous runs with minimal effort
• Provide access to services with compute clusters to run model training pipelines and experiments
• Enable end-to-end traceability of data, code and artifacts across experiments and transformation pipelines
• Support model deployment and scaling
• Design and operate secure, automated deployment workflows that move from experimentation to production in minutes, not weeks
• Implement continuous deployment pipelines with versioning and parallel deployments to ensure quality and enable rollbacks
• Optimize runtime environments to meet latency and performance targets, with support for multi-cluster and multi-tenant setups

Requirements

• Expertise in managing data platforms, including batch and streaming pipelines, ideally with knowledge of Databricks, Spark and/or Delta Lake
• Familiarity with labeling/annotation tools
• Familiarity with experiment tracking tools
• Strong understanding of data quality, versioning and lineage tracking
• Hands-on experience with MLflow, KServe, Airflow
• Familiarity with model runtime environments and deployment (Triton Inference Server, OpenVINO Model Server)
• Knowledge of AI CI/CD, GitOps workflows and automated deployment strategies
• Skills in telemetry and monitoring for data drift and data quality
• Strong skills in Kubernetes and Terraform for infrastructure automation
• Experience scaling services in cloud environments
• Strong proficiency in Python, Go or C# for building tools and services
• Fluency in French and English, both spoken and written (this role requires interaction with our international colleagues and clients)

Benefits

• Competitive compensation package
• Training reimbursement program
• Subsidized meals at our on-site bistro (Les Cordons Bleus)
• Work-life balance supported by flexible working hours
• Free, unlimited coffee
• Free parking for all employees
• On-site fitness center