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 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 Responsibilities

Backend Development & Architecture

• Design 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 & Integration

• Develop 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 Excellence

• Lead 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 Development

• Leverage 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 & Collaboration

• Mentor 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 Qualifications

• Deep 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 Qualifications

• Experience with Databricks for data engineering and analytics

• Familiarity with containerization (Docker) and orchestration (Kubernetes)

• Experience with Open Telemetry for distributed tracing and observability

• Knowledge of feature management platforms (Launch Darkly or similar)

• Experience with event-driven autoscaling (KEDA) and multi-tenant architecture patterns

• Exposure to LLM integration, RAG pipelines, or agent orchestration frameworks (Lang Chain, Lang Graph)

• Experience with Infrastructure as Code (Terraform, Bicep)

Technical Skills & Competencies

Core Technologies

• Languages:

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 & Analytics

• Databricks (data engineering and analytics)

• Alembic (database migrations)

• Data pipeline design and ETL/ELT patterns

• Data modeling and query optimization

Dev

Ops & Tooling:

• Docker, Kubernetes, KEDA (autoscaling)

• CI/CD (GitHub Actions, Azure DevOps Pipelines)

• Datadog, OpenTelemetry, structured logging

• Launch Darkly (feature management)

• Git, Jira, Confluence

Experience & Education

• Bachelor'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 You

At 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.

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 additional details please see our career site pages for each country.

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.