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 ResponsibilitiesBackend 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 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 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

DevOps & Tooling

Docker, Kubernetes, KEDA (autoscaling)

CI/CD (GitHub Actions, Azure DevOps Pipelines)

Datadog, OpenTelemetry, structured logging

LaunchDarkly (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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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.