Senior GIS Engineer

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. Role Overview The Senior Software Engineer develops, tests, documents, and maintains robust, scalable full stack applications using modern technologies including AI, cloud platforms, GIS, and DevSecOps practices. This role works across JLL’s geospatial and enterprise data platforms on problems such as geocoding, data matching, and cross-platform data alignment. Key Responsibilities Design & Delivery Independently design and implement complex solutions — geospatial data pipelines, geocoding and matching services, and the interfaces between them — with testing, monitoring, and data-quality validation built in Solve medium to high complexity problems, including reconciling records across systems with differing identifiers and data models Bring new perspectives to existing solutions, applying AI and automation to improve both products and development practices Business Partnership Work with product and business teams to influence solution decisions, translating business needs into technical requirements Apply enterprise-first thinking: contribute & build shared capabilities and data contracts that serve multiple platforms and teams Leadership & Communication Lead medium projects with manageable risks and serve as a trusted opinion in your product area Coach less experienced engineers and deliver knowledge-sharing sessions Use storytelling to explain difficult concepts and build consensus across platform teams and business stakeholders Required Qualifications We don’t expect any single candidate to arrive with every skill listed below. If you’re strong on full stack development and have depth in either GIS or applied AI, we want to hear from you — the rest is learnable on the job. Education Bachelor's degree in computer science, Software Engineering, Information Technology, Geography/GIS, or related field; equivalent practical experience considered Experience & Skills Geospatial: GIS data processing, mapping libraries and platforms, spatial databases, and location-based services Geocoding & matching: Hands-on experience with geocoding frameworks (address standardization, composite geocoding, coordinate-based matching) or with record matching and deduplication at scale Data integration: Defining data contracts, identifier mappings, and integration patterns across platforms; relational and NoSQL databases AI/ML: Integrating AI capabilities into solutions; familiarity with LLMs (prompt engineering, API integration); proficiency with AI coding assistants to accelerate development Cloud & DevSecOps: A major cloud platform (AWS, Azure, or GCP), E2E CI/CD setup, and automated testing practices Works independently on complex problems and builds alignment across teams without formal authority Preferred Qualifications Production experience with large-scale data matching and deduplication, or with shared geocoding services Familiarity with property, building, or location identity concepts (building identifiers, address hierarchies, parcel/structure relationships) Deep knowledge of spatial analysis and cartographic principles Experience with Databricks or similar lakehouse platforms for large-scale geospatial data processing Experience building LLM-powered applications (RAG, vector search) or deploying ML models in production Knowledge of real estate technology and JLL’s technology ecosystem Familiarity with responsible AI practices; professional certifications in cloud, GIS, or AI/ML What Success Looks Like Delivers high-quality, scalable applications with integrated GIS and AI capabilities Establishes trusted, consistent property and geospatial data capabilities adopted across enterprise platforms Increases team velocity through AI tooling and effective mentorship Ships a geocoding and matching capability that other teams adopt rather than rebuild This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 147,000.00 – 278,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: Remote –Chicago, IL, Dallas, TX, New York, NY, San Francisco, CA Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay 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. 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Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified. #J-18808-Ljbffr Relha LLC