About the Company

Torentify LogoTorentifyEnter job title...All CountriesJobsCareersBlogsAboutAdminPriyanshBack to JobsStaff Software EngineerUSD 187100 - 229200Copy Social LinkTalentifyShareApply NowLocationChicago, IL, US (Remote)PostedOct 3, 2026$Salary/Currency (Admin)USD 187100 - 229200Source (Admin)JoobleJob DescriptionJLL 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 JLL and JLL TechnologiesJLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people, and our communities.At JLL Technologies, our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them.JLL Technologies' Enterprise Data Platform (EDP) Platform Engineering team builds the shared services, APIs, and ingestion frameworks that every data and product team at JLL Technologies builds on top of. We're just getting started on reshaping the business of commercial real estate with the power of data and this team is the foundation that makes it possible.

About the Role

What this job involvesWe're seeking an expert Staff Software Developer to architect end-to-end platform solutions, lead the adoption of agentic AI and LLM-powered capabilities across the platform, and bring deep experience building microservices and event-driven architectures at scale. This is a senior individual-contributor role with 10+ years of experience across multiple technology domains, a track record of shaping technical strategy rather than just executing against it, and a genuine drive to simplify the developer experience for the engineers around you.What you'll get to doAs a Staff Software Developer, you will have ownership over the architecture and technical direction of platform-wide services and APIs, with AI-powered capabilities as a first-class part of that architecture. Your customers are every engineering team at JLL Technologies that consumes the platform's shared services they depend on the standards, APIs, and reusable frameworks you build to move faster and build reliably.Your mission is to turn the platform into a force multiplier for every team that builds on it. This is an opportunity to shape how JLL Technologies architects cloud-native, AI-enabled software at enterprise scale, to simplify how other engineers build and ship, and to mentor the next generation of senior engineers along the way.

Responsibilities

• Key responsibilitiesPlatform Architecture
• Architect and build end-to-end platform solutions, backend services, RESTful APIs, and front-end interfaces where needed, applying OOP, DDD, and event-driven patterns so they stay maintainable as they scale.
• Microservices & Event-Driven Systems
• Design, build, and operate microservices and event-driven architectures that scale reliably, and evolve them as usage and team count grow.
• APIs & Developer Experience
• Own the platform's core APIs built on RESTful principles — and shared frameworks, simplifying how other engineering teams build on them and backing every service with documentation clear enough that teams rarely need to ask.
• Cloud-Native Engineering
• Architect and modernize services on Azure and/or AWS, partnering with cloud/DevOps engineering on reliability and cost.
• Agentic AI & LLM Integration
• Lead the integration of agentic AI, LLM, and MCP-based capabilities into platform services, stay fluent in fast-moving AI coding tools (Claude Code, GitHub Copilot, Cursor, and similar), and set team guidelines for where AI-assisted development helps versus where it adds risk.
• Mentorship & Technical Leadership
• Mentor senior and lead engineers including on responsible AI tool use influence technical direction across teams, and act as the go‑to expert for platform architecture decisions.
• Mentorship & Technical Leadership: Mentor senior and lead engineers ,including on responsible AI tool use, influence technical direction across teams, and act as the go‑to expert for platform architecture decisions.
• Who you areYou shape and define technical strategy rather than waiting for it to be handed to you, and you're equally comfortable writing production code and influencing an architecture decision across three teams. You're a forward‑deployed thinker who evaluates new technology, agentic AI included, on its actual platform value, and you bring the credibility to get other senior engineers to follow your lead. You genuinely enjoy mentoring, you'd rather grow another engineer's judgment than just hand them the answer, and you measure a good week partly by how much simpler you made someone else's job. You default to building things that outlast the project they were built for.

Qualifications

• Qualifications and skillsRequired Qualifications
• 10+ years of professional software engineering experience, including architecting complex, end-to-end platform solutions across multiple technology domains
• Strong command of object-oriented programming and design patterns, including domain-driven design (DDD), event-driven architecture, and microservices
• Proficiency in at least one backend language - Java, C#, or Python
• Proven full-stack experience end-to-end, designing and building RESTful APIs from the data layer through to the services that consume them
• Hands-on experience building AI-powered features (LLMs, AI agents) and using AI coding tools such as Claude Code, GitHub Copilot, or Cursor responsibly to accelerate your own development work
• Deep, hands‑on experience with cloud