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.
As a Python App Developer, you will develop and maintain backend services and data platform components using Python and FastAPI, contributing to production systems that integrate data platforms, cloud services, and AI-driven workflows. This role is ideal for an engineer with a strong Python foundation who is ready to grow in distributed systems, cloud-native development, and
AI‑augmented engineering practices.
Responsibilities
Design, develop, and independently deliver moderately complex backend services and APIs using Python (FastAPI) and Pydantic with limited guidance.
Write clean, maintainable, well-documented, and well-tested code following established design patterns and engineering standards.
Implement data access layers, caching strategies (Redis), and integrations with internal and external services.
Apply sound engineering judgment when debugging, troubleshooting, and resolving production issues.
Demonstrate ownership of service reliability, performance, and maintainability.
Build and maintain data processing components and pipelines that interact with SQL databases, Redis, and Azure cloud storage.
Develop integration points between backend services and analytics platforms, Databricks, and AI services.
Write and optimize SQL queries, stored procedures, and data transformation logic.
Assist in implementing asynchronous task processing using Celery and message brokers.
Contribute to scalable, resilient data flows in a microservices-oriented environment.
Write unit and integration tests using pytest to ensure reliability and regression safety.
Participate in code reviews with attention to correctness, performance, readability, and long-term maintainability.
Follow CI/CD practices and contribute to backend build, test, and deployment pipeline maintenance.
Apply structured logging, monitoring, and alerting practices to support production observability.
Continuously improve engineering standards, tooling, and development workflows.
Use AI-powered development tools such as Cursor AI and GitHub Copilot across the SDLC to enhance productivity in coding, testing, refactoring, and documentation.
Build or contribute to basic AI agents and AI-augmented automation for backend and data workflows, under guidance from senior engineers.
Leverage AI tools to assist with code generation, debugging, test creation, and operational support.
Actively explore and adopt emerging AI tools, LLM APIs, and agent frameworks that improve backend development efficiency and system intelligence.
Collaborate closely with senior engineers, product managers, and cross-functional teams in an Agile environment.
Participate in sprint planning, design discussions, and retrospectives.
Seek feedback and progressively take ownership of backend features and components.
Stay current with Python ecosystem developments, cloud-native patterns, and backend engineering best practices.
Contribute to documentation, knowledge sharing, and technical discussions.
BA/BS Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
3–5 years of professional software engineering experience with strong proficiency in Python.
Hands-on experience with FastAPI or another Python web framework (Django, Flask).
Working knowledge of SQL and relational databases (PostgreSQL, SQL Server).
Understanding of RESTful API design principles, HTTP protocols, and data modeling with Pydantic.
Familiarity with Git and collaborative development workflows.
Basic understanding of cloud platforms (Azure preferred) and deployment concepts.
Hands-on experience using AI-assisted development tools in day-to-day engineering work.
Experience with asynchronous task processing (Celery, Redis).
Familiarity with Docker and container-based development.
Basic understanding of event-driven architectures and messaging systems.
Experience with database migration tools such as Alembic.
Exposure to Databricks or cloud data platforms.
Exposure to LLM APIs or agent frameworks (e.g., LangChain, LangGraph).
Familiarity with test-driven development and advanced pytest usage.
Python / FastAPI / Pydantic
RESTful APIs & Backend Architecture
SQL & Data Integration
Redis & Asynchronous Processing
Cloud‑Native Backend Development (Azure)
CI/CD & Observability
AI-assisted Software Development & Automation
Engineers on this team are expected to deeply integrate AI into their daily development workflow.
The team actively builds automation agents and developer productivity tools to accelerate backend and data platform development.
This role provides hands-on opportunities to contribute to AI-driven engineering workflows and next-generation, intelligent product capabilities.
What we can do for you:
At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in an entrepreneurial and inclusive work environment. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay, and benefits package.
Apply today!
Location:
On-site –Bengaluru, KAScheduled Weekly Hours:
40If 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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