Overview
On Site
Full Time
Skills
Angular
react
Node.js
CI/CD
Retail
GraphQL
AI/ML
Job Details
Full Stack Lead
Location Vancouver, BC / Seattle, WA hybrid
Full Time
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/Google Cloud Platform).
- 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, Google Cloud Platform, or Azure).
- Excellent communication and cross-functional collaboration skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.