Full Stack Engineer

The Senior Fullstack Engineer is a key contributor within the TP.ai FAB ecosystem, responsible for building robust, scalable, and secure software solutions that integrate with AI and data-driven components. This role focuses on hands-on development across both front-end and back-end layers, ensuring interoperability, performance, and user experience across FABs modular architecture. The engineer collaborates with peers, architects, and AI teams to deliver production-ready applications that align with Teleperformances design, security, and global delivery standards.

• • End-to-End Development
• · Develop, test, and deploy fullstack applications, microservices, and APIs integrated with FABs data and AI components.
• · Implement responsive, modular front-end interfaces using modern JavaScript frameworks.
• · Maintain high code quality, scalability, and performance across distributed systems.
• • Collaboration & Delivery
• · Work closely with Software Architects, Data Engineers, and Product Managers to translate requirements into efficient solutions.
• · Participate in design reviews, sprint planning, and daily scrums within agile squads.
• · Support integration of AI APIs, automation services, and analytics dashboards.
• • Quality & DevOps Practices
• · Write clean, testable, and maintainable code following global engineering standards.
• · Implement CI/CD pipelines, automated tests, and observability logging.
• · Contribute to shared component libraries, documentation, and internal playbooks.
• • Continuous Improvement
• · Stay up to date on emerging fullstack, AI, and DevSecOps technologies.
• · Identify opportunities to improve system performance and developer productivity.
• · Actively contribute to peer code reviews and technical discussions.

Educational Background

Bachelors or Masters degree in Computer Science, Software Engineering, or related field.

Experience

• · 5–8 years of experience in fullstack development or software engineering roles.
• · Proven experience delivering enterprise-grade applications across cloud or AI environments.
• · Exposure to microservices architecture and API integration in global, agile settings.
• Technical Skills
• · Proficiency in JavaScript/TypeScript, Node.js, and modern front-end frameworks (React, Next.js, or Angular).
• · Backend experience using Python, Java, or .NET, including RESTful and GraphQL APIs.
• · Familiarity with microservices, message queues, and event-driven architectures (Kafka, RabbitMQ).
• · Experience with cloud platforms (Azure, AWS, or GCP), Docker/Kubernetes, and CI/CD automation.
• · Understanding of SQL/NoSQL databases and caching mechanisms.
• · Familiarity with AI/LLM integration (API consumption, orchestration, and monitoring) preferred.
• · Knowledge of Git, testing frameworks (Jest, Mocha, Cypress), and observability tools.
• Soft Skills
• · Strong problem-solving and analytical capabilities.
• · Effective collaboration in cross-functional, multicultural teams.
• · Excellent attention to detail and code quality.
• · Curiosity for new technologies and continuous improvement.
• · Clear communication and accountability mindset.