Senior Software Engineer
- Toronto, Canada
- Senior Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- applied AI / machine learning / statistical methods
- CI/CD
- integrations
- troubleshooting production issues
- software design
- APIs
- Python
- SQL
Preferred
- MLOps
- model versioning
- monitoring
- drift detection
- ML
- designing and maintaining dashboards
- data integrations
Join our team as a Senior Software Engineer, where you will design, build, and operate software that addresses complex business challenges through data, AI, and experimentation. You will work across various functions, including Sales, Marketing, Finance, and HR, and have the opportunity to explore emerging technologies and develop prototypes.
Responsibilities
- You will lead substantial technical projects, define success criteria, and deliver maintainable solutions with measurable impact.
- Additionally, you will build reliable data integrations, define and measure success, and maintain a high engineering quality bar.
- Concevoir, construire et exploiter des logiciels qui résolvent des problèmes commerciaux complexes en utilisant des données, de l'IA et des expérimentations.
- Diriger des projets techniques substantiels au sein de l'équipe, contribuer à la conception du système et aux normes d'ingénierie, et fournir des conseils à d'autres ingénieurs.
Requirements
- Assurer la livraison de logiciels depuis la définition du problème jusqu'à la production, en traduisant les besoins commerciaux en exigences techniques.
- Success requires sound engineering judgment, comfort with uncertainty, and the ability to balance experimentation with dependable delivery
- Working knowledge of applied AI, machine learning, or statistical methods, including how to evaluate their suitability, limitations, and performance in a software solution
- Experience building and operating cloud-based applications, services, or data-intensive systems, including troubleshooting production issues and improving reliability
- Solid understanding of software design, APIs, data structures, automated testing, version control, and CI/CD
- Demonstrated ability to independently deliver complex technical projects, navigate ambiguous requirements, and make thoughtful design and implementation decisions
- Experience working with data pipelines, databases, and integrations, with attention to data quality, performance, and access controls
- Strong proficiency in Python and SQL, with experience building maintainable software beyond exploratory scripts or notebooks
- Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience
- 5+ years of professional software engineering experience, including substantial ownership of software deployed and maintained in production
- Ability to explain technical decisions and tradeoffs, collaborate across disciplines, and provide constructive guidance to other engineers
- Exposure to Sales, Marketing, Finance, or HR analytics domains
- Master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience
- Experience presenting analyses to senior technical and non-technical audiences
Preferred
- Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML
- Experience designing and maintaining dashboards for operational or executive audiences
