• Own backend features end-to-end: discovery, design, implementation, rollout, and ongoing reliability and operations, with support from more experienced teammates as needed. • Help design and evolve distributed systems (services, pipelines, and data stores) with an eye toward performance, scalability, and resiliency. • Build and maintain APIs and data access patterns that support analytics and search use cases. • Develop, maintain, and optimize scalable data pipelines that power product features, analytics, and machine learning workloads. • Ensure data reliability, quality, and performance across our systems, and monitor and troubleshoot pipelines to ensure consistent, timely delivery. • Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and operational excellence. • Apply an experimentation-first approach: define hypotheses and success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders. • Use AI coding tools like Claude Code productively and responsibly as part of your development workflow - for implementation, debugging, refactoring, and design reviews - while maintaining high standards for correctness, security, and privacy. • Bring evaluation discipline to AI-assisted work: treat prompts and configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift the same way you would for performance or correctness. • Grow continuously: actively seek feedback, learn new tools, languages, and domains quickly, and apply what you learn to your work. • Collaborate with Product Managers and fellow Engineers to ship intelligent, data-driven products. • Share knowledge with teammates through clear documentation, pairing, and participation in code reviews. • Document systems, pipelines, and architecture, and help evolve our engineering best practices. • Stay current with emerging tools, frameworks, and trends across software, data, and AI engineering.

• Own backend features end-to-end: discovery, design, implementation, rollout, and ongoing reliability and operations, with support from more experienced teammates as needed. • Help design and evolve distributed systems (services, pipelines, and data stores) with an eye toward performance, scalability, and resiliency. • Build and maintain APIs and data access patterns that support analytics and search use cases. • Develop, maintain, and optimize scalable data pipelines that power product features, analytics, and machine learning workloads. • Ensure data reliability, quality, and performance across our systems, and monitor and troubleshoot pipelines to ensure consistent, timely delivery. • Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and operational excellence. • Apply an experimentation-first approach: define hypotheses and success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders. • Use AI coding tools like Claude Code productively and responsibly as part of your development workflow - for implementation, debugging, refactoring, and design reviews - while maintaining high standards for correctness, security, and privacy. • Bring evaluation discipline to AI-assisted work: treat prompts and configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift the same way you would for performance or correctness. • Grow continuously: actively seek feedback, learn new tools, languages, and domains quickly, and apply what you learn to your work. • Collaborate with Product Managers and fellow Engineers to ship intelligent, data-driven products. • Share knowledge with teammates through clear documentation, pairing, and participation in code reviews. • Document systems, pipelines, and architecture, and help evolve our engineering best practices. • Stay current with emerging tools, frameworks, and trends across software, data, and AI engineering.

Role Description We are looking for a Fullstack Developer to join our internal technology team and contribute to the development and evolution of our digital products and platforms. You will work across the full application lifecycle, from designing and implementing new features to improving architecture, performance, code quality, and reliability. You will collaborate closely with product, design, and business teams, taking ownership of technical solutions and helping us build scalable and user-focused products. What You’ll Work On - Develop and maintain modern web applications using React, Next.js, and TypeScript; - Design and implement APIs and backend services using Node.js; - Work with Supabase, including PostgreSQL databases, authentication, storage, and server-side functionality; - Translate product and business requirements into effective technical solutions; - Participate in technical decisions regarding architecture, integrations, data models, and scalability; - Integrate internal products with external platforms, services, and APIs; - Deploy, monitor, and maintain applications using platforms such as Vercel; - Ensure code quality through testing, code reviews, refactoring, and continuous improvement; - Identify and resolve performance, security, and reliability issues; - Contribute to CI/CD processes and development best practices; - Collaborate closely with product, design, and other stakeholders throughout the development lifecycle. Qualifications - At least 3 years of professional experience in fullstack or web application development; - Strong experience with JavaScript and TypeScript; - Hands-on experience with React and Next.js; - Professional experience developing APIs and backend services with Node.js; - Solid understanding of REST APIs, application integrations, and asynchronous operations; - Experience with relational databases, preferably PostgreSQL; - Understanding of authentication, authorization, and web application security principles; - Experience with Git and collaborative software development workflows; - Knowledge of clean code, testing, maintainability, and scalable application development; - Ability to work autonomously, take ownership, and contribute to technical decisions; - Strong problem-solving, communication, and teamwork skills; - Good written and spoken English. Requirements - Experience with Supabase or similar backend-as-a-service platforms; - Experience deploying and managing applications on Vercel or similar platforms; - Experience with AWS services and cloud-based environments; - Knowledge of Docker and containerized applications; - Experience setting up or maintaining CI/CD pipelines; - Knowledge of Supabase Edge Functions, Row Level Security, or real-time capabilities; - Experience with automated testing tools and frameworks; - Knowledge of serverless and event-driven architectures; - Previous experience working in a product-driven, start-up, or scale-up environment; - Interest in AI-assisted development and integrating AI capabilities into digital products. Benefits - Real ownership and involvement in technical and product decisions; - Modern technology stack and innovation-focused environment; - Collaborative team with close interaction between technology, product, design, and business; - Continuous learning and professional development opportunities; - Remote working model based in Vietnam; - Hourly Rate: 12$-16$.

• Act as the Real Estate & PropTech Domain SME, providing strategic advisory across asset management, portfolio optimization, leasing, and facility operations. • Lead CXO workshops, discovery sessions, digital maturity assessments, and Smart Building readiness assessments. • Drive digital transformation initiatives leveraging PropTech, Smart Buildings, IoT, AI/GenAI, Digital Twins, BIM, and ESG solutions. • Translate business challenges into technology roadmaps, solution architectures, and measurable business outcomes. • Develop business cases, ROI models, investment justifications, and portfolio modernization strategies. • Drive presales activities, manage proposal creation, solution shaping, and support consulting practice growth. • Create reusable frameworks, accelerators, thought leadership assets, whitepapers, and industry points of view. • Collaborate with architects, engineering, cloud, AI, data, and IoT teams to ensure successful strategy-to-execution delivery. • Provide governance, executive reporting, and outcome tracking for large-scale Real Estate transformation programs. • Represent Nagarro through client engagements, industry events, conferences, and practice-building initiatives.