Job Description

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 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 & 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

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.