JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
About the RoleWe are seeking an experienced Senior Software Engineer with deep Python expertise to join our engineering team at JLL Technologies. You will design, develop, and maintain backend services and data platform components that power Azara, our AI-driven data intelligence platform for commercial real estate. This is an individual contributor role with significant technical influence, requiring you to drive architectural decisions, mentor engineers, and deliver production-grade solutions at scale.
Key ResponsibilitiesBackend Development & ArchitectureDesign and develop high-performance backend services and APIs using Python (FastAPI, Django, or Flask) following clean architecture and domain-driven design principles
Build and maintain asynchronous processing pipelines using Celery, Redis, and event-driven microservices (Dapr, Azure Service Bus) for real-time and batch data workflows
Architect scalable microservices that handle high-throughput data ingestion, transformation, and serving for analytics and AI features
Own end-to-end delivery of backend features from design through deployment, including performance tuning and production support
Data Platform & IntegrationDevelop and optimize data pipelines integrating with Databricks, SQL databases, and cloud-native storage services
Design and implement caching strategies, data access layers, and API contracts that serve both internal services and external consumers
Collaborate with data engineering and data science teams to operationalize ML models and analytics workflows
Integrate with third-party APIs and enterprise systems, ensuring reliability, idempotency, and fault tolerance
Quality & Engineering ExcellenceLead code reviews, establish coding standards, and champion engineering best practices across the team
Design comprehensive testing strategies including unit, integration, and contract testing
Implement observability and monitoring using Datadog, OpenTelemetry (distributed tracing), and structured logging
Drive adoption of CI/CD best practices, automated testing, and infrastructure-as-code in the development workflow
AI Augmentation & Agent DevelopmentLeverage AI-powered development tools (Cursor AI, GitHub Copilot) across all phases of the SDLC — from code generation and reviews to testing and documentation
Design and develop AI agents and intelligent automation for backend and data workflows (e.g., data pipeline automation agents, testing agents, code review agents)
Identify opportunities to integrate AI capabilities into existing services and engineering processes
Mentorship & CollaborationMentor junior and mid-level engineers on Python best practices, design patterns, and architectural thinking
Collaborate with cross-functional teams including product managers, UX designers, and DevOps engineers
Contribute to technical documentation, HLDs/LLDs, and architectural decision records
Participate in Agile ceremonies, sprint planning, and estimation activities
Required QualificationsDeep hands-on experience with at least one Python web framework (FastAPI, Django, or Flask) and Pydantic for data validation
Strong experience with asynchronous task processing (Celery, Redis) and event-driven architectures (Dapr, Azure Service Bus)
Proficiency in SQL and relational databases (PostgreSQL, SQL Server) and database migration tools (Alembic)
Solid understanding of RESTful API design, microservices architecture, and distributed systems
Experience with Microsoft Azure cloud platform (App Services, Functions, Storage, Key Vault, Data Lake)
Proficiency with Git, CI/CD pipelines, and modern development workflows
Proficiency with AI-powered development tools (Cursor AI, GitHub Copilot, or similar) for AI-augmented software development across the SDLC
Demonstrated ability to design and develop AI agents or intelligent automation solutions for backend and data engineering workflows
Strong understanding of software design patterns, SOLID principles, and clean code practices
Preferred QualificationsExperience with Databricks for data engineering and analytics
Familiarity with containerization (Docker) and orchestration (Kubernetes)
Experience with OpenTelemetry for distributed tracing and observability
Knowledge of feature management platforms (LaunchDarkly or similar)
Experience with event-driven autoscaling (KEDA) and multi-tenant architecture patterns
Exposure to LLM integration, RAG pipelines, or agent orchestration frameworks (LangChain, LangGraph)
Experience with Infrastructure as Code (Terraform, Bicep)
Technical Skills & CompetenciesCore TechnologiesLanguages: Python (primary), SQL
Frameworks: FastAPI, Celery, Pydantic
Databases: PostgreSQL, Redis, SQL Server
Cloud: Azure (App Services, Functions, Storage, Key Vault, Data Lake, Service Bus)
Event-Driven: Dapr, Azure Service Bus
Data & AnalyticsDatabricks (data engineering and analytics)
Alembic (database migrations)
Data pipeline design and ETL/ELT patterns
Data modeling and query optimization
DevOps & ToolingDocker, Kubernetes, KEDA (autoscaling)
CI/CD (GitHub Actions, Azure DevOps Pipelines)
Datadog, OpenTelemetry, structured logging
LaunchDarkly (feature management)
Git, Jira, Confluence
Experience & EducationBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience
6+ years of proven experience as a Software Engineer with significant backend Python development in enterprise-level environments
Strong communication skills with the ability to articulate technical decisions to both technical and non-technical stakeholders
Strong knowledge of Agile methodologies and principles
What We Can Do for YouAt JLL, we make sure that you become the best version of yourself by helping you realise your full potential in an entrepreneurial and inclusive work environment. If you have a passion for learning and adopting new technologies, JLL will continuously provide you with platforms to enrich your technical expertise. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay, and benefits package.
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
