SSE- UI/UX Developer @ CGI

Qualification:

Bachelor's degree in Computer Science, Design, Human-Computer Interaction, or related field.UI Developer:

What will you do

• Lead by Doing: Design, build, and review scalable micro services and web applications that backs up analytics platforms and ML systems
• This is a hands-on role with end-to-end ownership, with significant time doing coding
• Set Technical Direction: Define and promote best practices in Full stack development
• Evaluate emerging technologies and guide adoption to drive innovation
• Partner Cross-Functionally: Work closely with ML Engineers, data engineers, business leaders, and IT teams to understand needs and translate them into technical solutions
• Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals
• Proactively identify risks and enforce compliance standards, especially around data governance and security

What do you need to succeed
Must Have:
- 5+ years of front-end expertise in:
- Advanced React: strong fundamentals, state management, performance optimization
- Modern UI development: Tailwind CSS and Shading/UI for maintainable, scalable interfaces.
- Component design systems: Building reusable, scalable UI libraries.
- Storybook: Isolated component development and documentation.
- 5+ years designing/developing micro-service architectures
- Expertise in web technologies (HTML5, CSS3, JavaScript/TypeScript, REST/GraphQL APIs)
- Extensive cloud-native experience (AWS/Azure) with services like Lambda, ECS, or Azure Functions
- Containerization orchestration: Docker, Kubernetes, or OpenShift
- CI/CD pipelines: Jenkins, Git, and automation tools
- Bachelors degree in Computer Science, Engineering, or related field (Masters/PhD preferred)
- Excellent communication skills to bridge technical and non-technical stakeholders

Nice to Have:

• Experience in data warehouses and lakehouses (Snowflake, Redshift, Azure Databricks) and vector databases (PGVector, Opensearch)
• Apache Airflow for data/ML workflow orchestration
• Good understanding of LLMs and RAG based applications