Jll
real estate
StaffSoftwareDeveloper
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Software Developer at Jll. Skills: React, C#, ArcGIS, LLM APIs. Lead solution design. create solutions for complex problems”
Industry & Context.
discover problems; determine their criticality; independently create solutions for ill-defined or complex problems; Triage complicated failures; drive to resolution independently; troubleshooting; root cause analysis
What They're Looking For.
Must Have
8+ years of professional software engineering experience, Hands-on experience with modern LLM APIs across multiple providers, including prompt engineering, tool use/function calling, structured outputs, and context engineering, ability to review, validate, and debug AI-generated code with engineering judgment to know when to trust AI output and when to intervene, ArcGIS JS development and integration experience, Solid understanding of backend systems, microservice architectures, and distributed systems in Python, Node. js, Java, Go, or C#, Experience designing and maintaining RESTful or gRPC APIs, Solid experience with a major cloud platform (AWS, Azure, or GCP), Experience with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB), Working knowledge of CI/CD, infrastructure-as-code, and containerization (Terraform, Docker, Kubernetes)
Nice to Have
Experience building or deploying LLM-enabled systems, AI agents, or agent orchestration frameworks, Experience designing evaluation and testing frameworks for AI/agent-generated outputs, Familiarity with enterprise AI/agent platforms and tool ecosystems, Front-end experience with React, Angular, or Vue. js for internal tools and dashboards, Experience in Commercial Real Estate, Research, Financial Services, or other data-intensive domains, Experience modernizing legacy systems or migrating platforms to cloud-native architectures
What You'll Do.
create solutions for complex problems
Design and build geospatial solutions
Set up end-to-end solution structure
Leverage AI coding assistants
Own quality assurance
Triage complicated failures
Mentor junior engineers
How You'll Work.
Team & Collaboration
Working closely with Product Managers; working closely with business stakeholders; helping others with their troubleshooting; providing ongoing support to applications
Process & Methodology
drive own projects to successful conclusion, taking leadership roles in large projects
Full Job Description
**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. **Staff Software Developer – JLL** **What this job involves:** As a Staff Software Developer at JLL, you will lead the design and implementation of complete features spanning React frontend, C# backend services, database layer, and deployment pipeline. This senior technical role requires you to discover problems, determine their criticality, and drive your own projects to successful conclusion while mentoring junior engineers. You'll design and build scalable geospatial solutions leveraging the ArcGIS stack, set up end-to-end DevSecOps processes, and take leadership roles in large projects. Working closely with Product Managers and business stakeholders in fast iteration cycles, you'll leverage AI coding assistants and enterprise software agents to rapidly develop production-quality code while maintaining the highest quality standards. **What your day-to-day will look like:** * Lead solution design and independently create solutions for ill-defined or complex problems that cross domains, considering interactions with other systems and future maintenance * Design and build scalable geospatial solutions leveraging the ArcGIS stack to surface enterprise data, optimizing spatial data workflows and query performance * Set up end-to-end solution structure, DevSecOps tooling and processes using Octopus Deploy and cloud technologies while taking leadership roles in large projects * Leverage AI coding assistants and en
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