Senior Software Engineer

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 aReact & Java Developer, you will be afull-stack engineer responsible for building end-to-end features across bothfrontend and backend systems. You will developpolished, accessible, and performant user interfaces usingReact and TypeScript, while also designing and implementingrobust, scalable backend services usingJava and Spring Boot, integrated withGraphQL APIs, NestJS-based microservices, and enterprise data systems. This role emphasizes full-stack craftsmanship, engineering quality, andAI-augmented development as a core expectation.

Responsibilities

Full-Stack Development

• Design, develop, and independently deliver moderately complex features spanningfrontend and backend with limited guidance.

• BuildReact/TypeScript-based user interfaces that are scalable, accessible, and performant.

• DevelopJava/Spring Boot microservices that handle business logic, data processing, and API integrations.

• ImplementGraphQL APIs and integrate withNestJS-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 withdesign systems and shared component libraries usingReact and TypeScript.

• Implement state management and data fetching usingGraphQL (Apollo Client).

• Ensure high standards ofperformance, responsiveness, accessibility (WCAG), and cross-browser compatibility.

• Collaborate closely with UX designers to translateFigma 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 implementRESTful APIs and GraphQL APIs usingJava and Spring Boot.

• Build and maintainmicroservices architecture with proper separation of concerns, modularity, and scalability.

• Implementdata persistence layers usingJPA/Hibernate with relational databases (PostgreSQL, MySQL, SQL Server).

• Integrate withenterprise data systems, external APIs, and cloud services (Azure, AWS).

• EnsureAPI security using OAuth2, JWT, and Spring Security.

• Optimize backend performance through efficient database queries, caching strategies (Redis), and asynchronous processing.

• Implementevent-driven architectures using message brokers (Kafka, RabbitMQ) where applicable.

Quality & Engineering Practices

• Writeunit, 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 tocode quality, performance, security, accessibility, and maintainability.

• Maintain and improve build tooling:Frontend: Webpack, ESLint, PrettierBackend: Maven/Gradle, SonarQube, Checkstyle

• FollowCI/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

• UseAI-powered development tools such asCursor AI and GitHub Copilot across the SDLC to improve productivity in coding, testing, refactoring, and documentation.

• Build or contribute tobasic 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 emergingAI tools and practices that enhance engineering velocity and code quality.

• Contribute ideas and improvements todeveloper 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 offrontend and backend development.

• Strong proficiency inReact and TypeScript for frontend development.

• Strong proficiency inJava (Java 11+) and Spring Boot for backend development.

• Solid understanding ofHTML5, CSS3, and modern JavaScript (ES6+).

• Experience building and consumingRESTful APIs and GraphQL APIs.

• Proficiency withrelational databases (PostgreSQL, MySQL, SQL Server) andJPA/Hibernate.

• Experience withmicroservices architectures and distributed systems design.

• Familiarity withGit and collaborative development workflows (pull requests, code reviews).

• Hands-on experience usingAI-assisted development tools in day-to-day engineering work.

Preferred Qualifications

• Experience working withNestJS-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 includingJest, React Testing Library, Cypress, or Playwright.

• Experience with backend testing tools includingJUnit 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 withcontainerization (Docker) andorchestration (Kubernetes).

• Experience withcloud platforms (Azure, AWS, GCP) and cloud-native development.

• Knowledge ofmessage brokers (Kafka, RabbitMQ) and event-driven architectures.

• Experience withAPI security best practices (OAuth2, JWT, Spring Security).

• Familiarity with design systems, accessibility tooling, and component-driven development.

• Exposure toLLM APIs, agent frameworks, or AI-enabled development automation.

• Experience withobservability 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 byReact, 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:

Scheduled Weekly Hours:

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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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 atHRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to ourContact Us page > I want to work for JLL.