JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
About the Role
We build and operate a modern, cloud-based, AI-enabled analytics platform for Commercial Real Estate (CRE) organizations. The platform delivers scalable, secure, and high-performance analytics that transform complex operational data into actionable insights.
As a React & Java Developer, you will be a full-stack engineer responsible for building end-to-end features across both frontend and backend systems. You will develop polished, accessible, and performant user interfaces using React and TypeScript, while also designing and implementing robust, scalable backend services using Java and Spring Boot, integrated with GraphQL APIs, NestJS-based microservices, and enterprise data systems. This role emphasizes full-stack craftsmanship, engineering quality, and AI-augmented development as a core expectation.
Responsibilities
Full-Stack Development
Design, develop, and independently deliver moderately complex features spanning frontend and backend with limited guidance.
Build React/TypeScript-based user interfaces that are scalable, accessible, and performant.
Develop Java/Spring Boot microservices that handle business logic, data processing, and API integrations.
Implement GraphQL APIs and integrate with NestJS-based microservices to deliver cohesive product features.
Apply sound engineering judgment across the full technology stack, adhering to established architecture and coding standards.
Demonstrate ownership of feature quality, maintainability, performance, and user experience outcomes.
Frontend Development
Build scalable, reusable UI components aligned with design systems and shared component libraries using React and TypeScript.
Implement state management and data fetching using GraphQL (Apollo Client).
Ensure high standards of performance, responsiveness, accessibility (WCAG), and cross-browser compatibility.
Collaborate closely with UX designers to translate Figma designs, wireframes, and prototypes into production-ready interfaces with pixel-accurate layouts.
Provide input on usability and UX improvements based on frontend implementation experience.
Backend Development
Design and implement RESTful APIs and GraphQL APIs using Java and Spring Boot.
Build and maintain microservices architecture with proper separation of concerns, modularity, and scalability.
Implement data persistence layers using JPA/Hibernate with relational databases (PostgreSQL, MySQL, SQL Server).
Integrate with enterprise data systems, external APIs, and cloud services (Azure, AWS).
Ensure API security using OAuth2, JWT, and Spring Security.
Optimize backend performance through efficient database queries, caching strategies (Redis), and asynchronous processing.
Implement event-driven architectures using message brokers (Kafka, RabbitMQ) where applicable.
Quality & Engineering Practices
Write unit, integration, and end-to-end tests using:Frontend: Jest, React Testing Library, Mock Service Worker (MSW)Backend: JUnit, Mockito, Spring Boot Test, TestContainers
Participate in code reviews with attention to code quality, performance, security, accessibility, and maintainability.
Maintain and improve build tooling:Frontend: Webpack, ESLint, PrettierBackend: Maven/Gradle, SonarQube, Checkstyle
Follow CI/CD practices and contribute to build and deployment pipeline maintenance.
Support automated quality checks and continuously improve engineering standards and workflows.
Monitor application performance and troubleshoot production issues across the full stack.
AI Augmentation & Agent Development
Use AI-powered development tools such as Cursor AI and GitHub Copilot across the SDLC to improve productivity in coding, testing, refactoring, and documentation.
Build or contribute to basic AI agents and AI-augmented automation for development workflows, including:Test generation and maintenance (frontend and backend)Code scaffolding and refactoringAPI documentation generationAccessibility auditing and validationCode quality and security scanning
Actively explore and adopt emerging AI tools and practices that enhance engineering velocity and code quality.
Contribute ideas and improvements to developer productivity, tooling, and automation initiatives.
Collaboration & Growth
Collaborate with frontend engineers, backend engineers, product managers, and designers in an Agile environment.
Participate in sprint planning, design reviews, technical discussions, and retrospectives.
Share knowledge through documentation, technical discussions, and mentoring junior engineers.
Stay current with:Frontend: React ecosystem, GraphQL best practices, modern CSS, and frontend toolingBackend: Java ecosystem, Spring framework, microservices patterns, and cloud-native architectures
Qualifications
Basic Qualifications
BA/BS Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
5–7 years of professional software engineering experience with a balance of frontend and backend development.
Strong proficiency in React and TypeScript for frontend development.
Strong proficiency in Java (Java 11+) and Spring Boot for backend development.
Solid understanding of HTML5, CSS3, and modern JavaScript (ES6+).
Experience building and consuming RESTful APIs and GraphQL APIs.
Proficiency with relational databases (PostgreSQL, MySQL, SQL Server) and JPA/Hibernate.
Experience with microservices architectures and distributed systems design.
Familiarity with Git and collaborative development workflows (pull requests, code reviews).
Hands-on experience using AI-assisted development tools in day-to-day engineering work.
Preferred Qualifications
Experience working with NestJS-based microservices or similar Node.js backend frameworks.
Familiarity with GraphQL client and server libraries (Apollo Client, Apollo Server, GraphQL Java).
Experience with frontend testing tools including Jest, React Testing Library, Cypress, or Playwright.
Experience with backend testing tools including JUnit 5, Mockito, TestContainers, WireMock.
Exposure to frontend performance optimization techniques (lazy loading, code splitting, memoization).
Experience with backend performance optimization (query optimization, caching, connection pooling).
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Experience with cloud platforms (Azure, AWS, GCP) and cloud-native development.
Knowledge of message brokers (Kafka, RabbitMQ) and event-driven architectures.
Experience with API security best practices (OAuth2, JWT, Spring Security).
Familiarity with design systems, accessibility tooling, and component-driven development.
Exposure to LLM APIs, agent frameworks, or AI-enabled development automation.
Experience with observability tools (Prometheus, Grafana, ELK Stack, Application Insights).
Suggested Skills
Frontend
React / TypeScript
GraphQL (Apollo Client)
UI Architecture & Design Systems
Frontend Testing (Jest, RTL, MSW)
Build & Tooling (Webpack, ESLint, Prettier)
Backend
Java (Java 11+) / Spring Boot / Spring Framework
GraphQL (GraphQL Java)
RESTful API Design
JPA / Hibernate / SQL
Backend Testing (JUnit, Mockito, TestContainers)
Build & Tooling (Maven/Gradle, SonarQube)
Infrastructure & DevOps
Docker / Kubernetes
CI/CD for Full-Stack Applications
Cloud Platforms (Azure, AWS)
Message Brokers (Kafka, RabbitMQ)
Cross-Cutting
Microservices Architecture
API Security (OAuth2, JWT)
Performance Optimization
Observability & Monitoring
AI-assisted Software Development & Automation
Additional Information
AI-assisted development is a core expectation for this role.
The team builds modern full-stack systems backed by React, Java/Spring Boot, GraphQL, NestJS microservices, and intelligent automation.
This role offers opportunities to deepen both frontend and backend expertise while influencing how AI improves developer productivity and code quality across the entire stack.
You will work on challenging problems in commercial real estate analytics, handling large-scale data processing, complex business logic, and sophisticated user experiences.
The position offers growth opportunities in technical leadership, architecture, and cross-functional collaboration.
Location:
On-site –Bengaluru, KA
Scheduled Weekly Hours:
40
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
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For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
