Description

The ISG Research Technology department at Client is seeking a Full Stack Tech Lead to spearhead the design and development of a next-generation cloud-based research distribution platform and GenAI/LLM infrastructure. This position requires collaboration with cross-functional teams globally, including leading squads in India and Montreal. The platform aims to revolutionize the way research content is authored, published, and consumed using modern cloud-native and AI-driven technologies.

Job Responsibilities

Collaborate with Squad Leads, Architects, Product Owners, and BAs during EST hours to align development with business needs

Lead full stack design and development activities for new and existing applications

Allocate and oversee development tasks to team members across India and Montreal

Conduct code reviews and approve pull requests to ensure code quality

Manage builds and deployments in lower environments; oversee CI/CD processes

Support production releases, conduct post-release validations, and troubleshoot issues

Act as the primary liaison with production support and RPE teams for incident resolution

Coordinate with adjacent technology and support teams globally

Required Skills

Backend: Strong Java skills with experience in Spring Boot, Spring Cloud, and Microservices architecture

Frontend: Proficiency in UI frameworks such as React or Angular

Cloud & DevOps: Experience with Cloud-Native technologies, Docker, Kubernetes, and any major cloud platform (AWS preferred)

Data & Messaging: Experience with NoSQL databases like MongoDB, and messaging platforms such as Kafka

Design & Development: Strong understanding of data structures, design patterns, multi-threading, and high-performance architectures

Development Methodologies: Familiarity with TDD/BDD and Agile practices

Communication: Excellent verbal and written communication; adept at working with stakeholders of varying technical expertise

Open to working occasional weekends when needed

Preferred Skills

Knowledge of Python

Hands-on experience with AWS, Azure, or GCP

Previous experience in the financial services industry

Experience building and integrating with GenAI/LLM platforms is a plus

Certifications

Cloud certifications (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Developer) are advantageous

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Education

Bachelor's or Master's degrees