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The Chance The Lead Fullstack Engineer serves as a senior technical contributor within the TP.ai FAB ecosystem, driving the design and development of scalable, high-performance applications across front-end and back-end layers. This role combines deep technical expertise with leadership in engineering practices — enabling cross-functional squads to deliver production-grade digital and AI-powered solutions.
The engineer collaborates closely with architects, designers, and AI engineers to implement modern, secure, and reusable components aligned with Teleperformance’s global architecture standards.
The Responsibilities
- Lead the end-to-end development of FAB applications and microservices — from concept and prototyping to deployment and maintenance.
- Architect and implement clean, modular codebases that scale across multiple environments.
- Design and maintain reusable UI and backend components integrated with FAB APIs and AI microservices.
- Act as a hands-on technical lead within agile squads, providing code reviews, guidance, and best practices.
- Collaborate with Product Managers, Software Architects,
and ML Engineers to ensure cohesive system design.
- Champion CI/CD, testing automation, and DevSecOps standards across the software lifecycle.
- Optimize application performance, availability, and responsiveness across multiple platforms.
- Enforce secure coding standards, data protection practices, and observability frameworks.
- Ensure consistency with global TP.ai FAB coding conventions and architectural blueprints.
- Evaluate emerging technologies (React, Next.js, NestJS, LangGraph, etc.) for potential integration.
- Drive continuous refactoring and modernization of the development stack.
The Qualifications
- Bachelor’s or master’s degree in computer science, Software Engineering, or related field.
- 8+ years of software development experience, with at least 3+ years in a senior or technical lead role.
- Proven track record building scalable, secure, full-stack solutions in enterprise or SaaS environments.
- Experience collaborating within multi-disciplinary AI or digital product teams preferred.
- Expert proficiency in JavaScript/TypeScript, Node.js, and React (Next.js or similar frameworks).
- Solid understanding of Python or Java for backend development.
- Strong knowledge of RESTful and GraphQL APIs, microservices architecture,
and message queues (Kafka, RabbitMQ).
- Hands-on experience with cloud environments (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes).
- Familiarity with CI/CD pipelines, Git, and automated testing (Jest, Cypress, Playwright).
- Experience integrating LLM-based APIs, vector databases, and AI orchestration layers (LangChain, RAG).
- Excellent collaboration and communication across distributed teams.
- Strong analytical mindset and problem-solving orientation.
- Commitment to clean code, testing discipline, and engineering excellence.
- High adaptability in dynamic, fast paced, and innovative environments.
- Continuous learner and mentor for peers.
Pre-Employment Screenings By TP policy, employment in this position will be contingent on your successful completion of and passage of a comprehensive background check, including global sanctions and watchlist screening. Important | Policy on Unsolicited Third-Party Candidate Submissions TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.
Culture & Belonging At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate on the basis of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.
📌 Director, Lead Full Stack Engineer (India)
🏢 TP
📍 India