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 FAB's modular architecture. The engineer collaborates with peers, architects, and AI teams to deliver production-ready applications that align with Teleperformance's design, security, and global delivery standards.

• End-to-End Development

· Develop, test, and deploy fullstack applications, microservices, and APIs integrated with FAB's 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

Bachelor's or Master's 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.