Senior Software Engineer

JLL•San Diego, CA

16d•$162,700 - $199,300•Onsite

About The Position

JLL is a leading professional services firm that specializes in commercial 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. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them. Our job in LaSalle's Digital Transformation Team is to accelerate the impact of digital transformation by partnering closely with our business units. We prototype ideas, test them in real business scenarios and quickly adapt the solution. Combining data science, human-centered design, and AI driven rapid development techniques help deliver breakthrough products, experiences, and businesses. We are seeking an experienced Senior Full Stack Developer to design, develop, and maintain enterprise-level applications supporting real estate investment management operations. The ideal candidate combines deep technical expertise in modern web technologies with preferrable knowledge of real estate investment/financial business processes, cloud infrastructure, and AI-powered development tools.

Requirements

5+ years of professional software development experience
Expert proficiency in Python, Node.js backend development including Express, NestJS, or similar frameworks
Strong React development skills with modern hooks, state management (Redux, Context API), and component architecture
Demonstrated experience creating and managing Infrastructure as Code using Terraform, CloudFormation, Ansible, or similar tools
Hands-on experience with cloud platforms (AWS, Azure, or GCP) including networking, security, storage, and compute services
Proficiency with AI-assisted development tools such as Cursor, GitHub Copilot, Amazon CodeWhisperer, or OpenAI Codex
Experience integrating AI code generation into development workflows while maintaining quality and security standards
Proficiency with containerization (Docker) and orchestration (Kubernetes, ECS)
Strong understanding of RESTful API design, GraphQL, and microservices architecture
Experience with relational and NoSQL databases (PostgreSQL, MongoDB, etc.)
Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, Azure DevOps)
Version control expertise with Git and collaborative development workflows
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Strong problem-solving abilities and analytical thinking
Excellent communication skills for technical and non-technical audiences
Ability to work independently and collaboratively in agile environments
Track record of delivering complex projects on schedule
Adaptability to rapidly evolving development tools and AI-assisted workflows
Candidates must be authorized to work in the United States without sponsorship.

Nice To Haves

Preferrable knowledge of real estate investment/financial business processes, cloud infrastructure, and AI-powered development tools.
Experience with RAG, MCP development is a plus

Responsibilities

Application Development: Design and build scalable full stack applications using Node.js and React to support invest operations and business intelligence.
Develop robust APIs and microservices that integrate with enterprise systems.
Implement responsive, user-friendly interfaces that enable efficient workflows for Research and Strategy, Transaction teams.
Leverage AI-assisted development tools to accelerate development cycles and improve code quality.
Cloud Infrastructure & DevOps: Architect and implement IaC solutions using tools such as Terraform to automate cloud resource provisioning and management.
Design and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Optimize cloud infrastructure for performance, security, and cost-efficiency across Cloud Platform environments (Azure preferred)
AI-Powered Development: Utilize AI-assisted coding tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, or similar platforms to enhance development productivity.
Apply AI code generation and completion capabilities to accelerate feature development while maintaining code quality standards.
Integrate AI tools into development workflows and share best practices with the team.
Technical Leadership: Provide technical guidance to development teams on architecture decisions, coding standards, and best practices including effective use of AI development tools.
Conduct code reviews and mentor junior developers to elevate team capabilities.
Collaborate with product managers, UX designers, and business stakeholders to translate requirements into technical solutions.