Full Stack Lead

5 days ago

Seattle, WA, United States DCM INFOTECH LIMITED Full time
Full Stack Lead
Client - Lululemon
Fulltime
Location - Vancouver, BC/ Seattle, WA ( need to travel once in 3-4 months)
Salary - CAD 160 k - 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.

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