Software Engineer 2

Reposted Yesterday
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Bengaluru, Karnataka, IND
In-Office
Mid level
Real Estate • Financial Services
There's the conventional way. And there's the JLL way. A more innovative, intelligent way. See a brighter way.
The Role
Develop and maintain Python backend services and APIs (FastAPI) and data pipelines. Integrate with SQL databases, Redis, Databricks, Azure storage, and AI services. Implement caching, async tasks (Celery), and troubleshooting. Build basic AI-augmented automation and collaborate in Agile teams while following testing and documentation standards.
Summary Generated by Built In

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 looking for a Software Engineer 2 with solid Python skills to join our engineering team at JLL Technologies. You will develop and maintain backend services and data platform components that power Azara, our AI-driven data intelligence platform for commercial real estate. This role is ideal for an engineer with a strong foundation in Python who is eager to grow their skills in distributed systems, cloud-native development, and AI-integrated applications while contributing meaningfully to a production platform.


Key ResponsibilitiesBackend Development
  • Develop and maintain backend services and APIs using Python (FastAPI) with Pydantic for data validation
  • Write clean, well-tested, and well-documented code following established team standards and design patterns
  • Implement data access layers, caching logic (Redis), and integration points with internal and external services
  • Participate in debugging, troubleshooting, and resolving production issues with guidance from senior engineers
Data Integration & Processing
  • Build and maintain data processing scripts and pipelines that interface with SQL databases, Redis, and Azure cloud storage
  • Develop integration components connecting backend services with Databricks, analytics engines, 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
AI Augmentation & Agent Development
  • Use AI-powered development tools (Cursor AI, GitHub Copilot) across the SDLC to enhance productivity in coding, testing, and documentation
  • Build basic AI agents and AI-augmented automation for backend and data workflows under the guidance of senior engineers
  • Actively explore and adopt emerging AI tools and practices for software development
Collaboration & Growth
  • Collaborate with senior engineers, product managers, and cross-functional teams in an Agile environment
  • Actively seek feedback and participate in knowledge-sharing sessions, tech talks, and documentation efforts
  • Progressively take ownership of features and components with increasing independence
  • Stay current with Python ecosystem developments and emerging best practices
Required Qualifications
  • Hands-on experience with at least one Python web framework (FastAPI preferred, Django, or Flask)
  • Working knowledge of SQL and relational databases (PostgreSQL, SQL Server)
  • Understanding of RESTful API design principles, Pydantic data models, and HTTP protocols
  • Familiarity with Git version control and collaborative development workflows
  • Basic understanding of Microsoft Azure cloud platform and deployment concepts
  • Experience with AI-powered development tools (Cursor AI, GitHub Copilot, or similar) for AI-augmented software development across the SDLC
  • Ability to build basic AI agents or AI-augmented automation for backend and data workflows
  • Good problem-solving skills and attention to code quality

Technical Skills & CompetenciesCore Technologies
  • Languages: Python, SQL
  • Frameworks: FastAPI, Pydantic, Celery
  • Databases: PostgreSQL, Redis, SQL Server
  • Cloud: Azure (App Services, Storage, Key Vault) basics
Experience & Education
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience
  • 3-5 years of professional software engineering experience with demonstrable Python development skills
  • Good communication skills and the ability to work collaboratively in a team environment
  • Familiarity with 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.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

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 [email protected]. 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.

Skills Required

  • Hands-on experience with at least one Python web framework (FastAPI, Django, or Flask)
  • 3-5 years professional software engineering experience with demonstrable Python development skills
  • Working knowledge of SQL and relational databases (PostgreSQL, SQL Server)
  • Understanding of RESTful API design principles, Pydantic data models, and HTTP protocols
  • Familiarity with Git version control and collaborative development workflows
  • Basic understanding of Microsoft Azure cloud platform and deployment concepts (App Services, Storage, Key Vault)
  • Experience with Celery and asynchronous task processing and message brokers
  • Experience with Redis for caching and data access layers
  • Experience integrating with Databricks and analytics engines
  • Experience using AI-powered development tools (Cursor AI, GitHub Copilot, or similar)
  • Ability to build basic AI agents or AI-augmented automation for backend and data workflows
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
  • Good problem-solving skills, communication, and ability to work in an Agile team

JLL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JLL and has not been reviewed or approved by JLL.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, spanning medical, dental, vision, life, disability, FSA options, and mental health support. The package is frequently characterized as “great” or “good,” reinforcing its perceived robustness.
  • Retirement Support Retirement benefits include a 401(k) with a strong employer match and access to related savings options such as a Roth 401(k). The presence of an employee stock purchase program and charitable matching further supports long-term financial value.
  • Leave & Time Off Breadth Time-off benefits include paid holidays and PTO that is often described as generous and flexible, alongside bereavement and military leave. Remote/hybrid flexibility is also part of the total rewards picture, increasing perceived overall value.

JLL Insights

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The Company
HQ: Chicago, IL
66,101 Employees
Year Founded: 1999

What We Do

We’re a leading professional services firm that specializes in real estate and investment management. JLL shapes the future of real estate for a better world by using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities. We want the most ambitious clients to work with us, and the most ambitious people to work for us. Join us.

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