Full Stack Lead
$150kFutran Tech Solutions Pvt. Ltd.
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.
Vacancy posted 2 days ago
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