Lead Full Stack & AI Engineer

HSBC is seeking an accomplished Lead Full Stack & AI Engineer to join our Data Management Technology team under CTO Data Technology. This senior leadership role demands extensive expertise in full-stack development with Python and React JS, cloud engineering on GCP, and AI/ML implementation, combined with proven team leadership and delivery excellence.

Key Responsibilities

• Lead the design, architecture, and development of enterprise-scale full-stack applications using Python (backend) and React JS (frontend)

• Define technical strategy and roadmap for AI-powered data management solutions on GCP

• Drive implementation of AI/ML capabilities to enhance data controls, quality checks, and risk detection in production environments

• Establish architectural standards, design patterns, and best practices for cloud-native applications on GCP

• Lead, mentor, and grow a team of full-stack engineers and AI specialists, fostering a high-performance culture focused on delivery excellence

• Own end-to-end technical delivery of complex, multi-workstream projects supporting regulatory compliance (BCBS 239, IRR, etc.)

• Develop comprehensive project plans with clear milestones and drive execution with urgency while maintaining quality and security standards

• Partner with Risk, Compliance, Data Governance, and Business teams to translate requirements into scalable technical solution.

Required Skills

• 7+ years of relevant technical experience in enterprise software development with at least 2+ years in leadership roles. Write good quality code and automated Test cases

• Expert-level proficiency in Python for backend development (Flask, FastAPI, Django) and strong expertise in React JS with modern JavaScript/TypeScript for frontend

• Proven experience architecting and deploying enterprise solutions on GCP including services like Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, and Vertex AI

• Good hands-on experience implementing AI/ML solutions.

• Deep understanding of microservices architecture, RESTful APIs, event-driven systems, and experience with both SQL and NoSQL databases

• Demonstrated experience leading technical teams (5-15 members) with proven track record of delivering large-scale projects on time and with high quality

• Strong understanding of software design principles, design patterns, enterprise architecture, and cloud-native application best practices

• Experience with agile methodologies, DevOps practices, CI/CD implementations (Docker, Kubernetes), and infrastructure as code (Terraform)