Platform Engineer developing robust data and ML platform components at Homebase. Collaborating with teams to enable data-driven features and ensure seamless integration.
Responsibilities
Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources.
Support data architecture transformation initiatives on Databricks, ensuring scalable and efficient systems.
Guide the design and implementation of platform components for the training, deployment, and monitoring of ML models in production environments.
Provide expertise on industry best practices, tools, and technologies in ML engineering.
Drive the continuous improvement of data and ML workflows through automation and innovative solutions.
Take full ownership of projects, ensuring successful delivery from planning to execution.
Collaborate with cross-functional teams to gather business requirements and translate them into effective technical solutions.
Requirements
5+ years of software development experience, specializing in data and ML
Expertise in SQL, Python, and Databricks
Experience with Airflow, Kafka, and Redshift
Proficiency in data modeling and database design.
Proficient in building and deploying machine learning models (including language models)
Proficient in building model serving pipelines for batch, streaming, and real-time inference
Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.
Strong problem-solving skills with a strategic mindset and attention to detail
Effective communicator and collaborator across technical and non-technical stakeholders.
Benefits
Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
Time Flexibility: Flex time off + company holidays + designated focus periods
Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
Protection Plans: Life insurance + short/long-term disability coverage
Workspace Perks: Meals provided, team offsites, and Customer Days
Our Hybrid Rhythm: We believe collaboration drives impact. That’s why Tuesday and Wednesday are our required in-office days.
Platform Engineer managing AWS infrastructure and CI/CD pipelines for Kento Health's cardiac care solution. Collaborating with engineers to ensure scalability and reliability of services.
Développeur logiciel pour l’équipe Platform Engineering de Genetec, responsable du système d’authentification unique. Travaillant sur des solutions d’architecture de microservices dans un environnement cloud, avec des technologies à jour.
Staff Endpoint Engineer managing macOS devices for Affirm’s employee - facing IT experience. Responsibilities include scaling device management and leading automation initiatives to enhance security and productivity.
Platform Engineering Manager overseeing hybrid and cloud infrastructures for a tech company. Leading team improvements in production and developer experience across multiple regions.
Data Platform Engineer Intern at Canada Life designing cloud - based data solutions. Contributing to analytics enablement and partnering with stakeholders to enhance data platform capabilities.
Senior Power Platform Developer responsible for enhancing certification platforms and integrating cloud services. Collaborating with engineering teams to enable auto - certification and seamless integration in the Toronto office.
Senior Platform Engineer at Float, designing and maintaining cloud infrastructure and developer platforms. Focus on high performance, scalability, security, and automation for financial services.
AI Platform Engineer at Circle leveraging AI technology to enhance customer experience. Focused on production AI systems and infrastructure for measuring performance and accuracy.
AI Platform Engineer at Kayzen designing internal AI frameworks and enabling integration of AI features. Working on AI tooling for rapid deployment of AI - powered solutions across teams.