Full Stack Lead

Full Stack Lead

Client – Lululemon through Altimetrik

Fulltime

Location – Vancouver, BC/ Seattle, WA (need to travel once in 6 months)

Salary – CAD 160k – 175K (USD $150k)

Mandatory Skills: Airflow and SQL

About the Role

This is a role that blends technical leadership, product thinking, and data-driven innovation. You’ll lead a team of engineers in building full stack applications that integrate with, leverage machine learning models, and deliver real-time insights to planners, merchandisers, and supply chain teams.

Key Responsibilities

• Lead full stack development using technologies like Angular, React, Node.js, GraphQL, and cloud-native services (AWS/GCP).
• Design and build integrations between Anaplan and internal systems to support planning, forecasting, and scenario modeling.
• Collaborate with data scientists to operationalize ML models for demand forecasting, inventory optimization, and supply chain analytics.
• Develop intuitive tools for planners and business users to interact with forecasts, adjust plans, and simulate outcomes.
• Establish and maintain CI/CD pipelines using Gitlab to automate testing, deployment, and monitoring.
• Mentor engineers and promote best practices in architecture, testing, and DevOps.
• Champion strong engineering practices, including:
• Test-driven development (TDD)
• Code reviews and pair programming
• Scalable architecture and modular design
• Observability, logging, and performance monitoring
• Drive agile product development, working closely with Product, UX, and Planning teams to deliver high-impact features.

Qualifications

• 9+ years of experience in software engineering, with 2+ years in technical leadership role.
• Strong full stack development skills with modern frameworks (React, Next.js, Node.js).
• Familiarity with AI/ML concepts, especially in time series forecasting, demand sensing, or optimization.
• Experience deploying ML models into production environments (e.g., using SageMaker, Vertex AI, or custom APIs).
• Proven experience implementing and managing CI/CD pipelines and automated testing frameworks.
• Experience with Python, Pandas, or ML libraries (e.g., Prophet, XGBoost, TensorFlow).
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
• Excellent communication and cross-functional collaboration skills.