About the Role
As a CBRE Software Engineer, you will play a critical role in shaping the future of technology in commercial real estate (CRE). You'll design, develop, and implement innovative software solutions that power our next-generation platforms, directly contributing to the AI transformation of the business. This includes actively leveraging and building cutting-edge AI/Machine Learning, Data, and predictive analytics technologies to deliver enhanced client solutions, drive operational excellence, and create a significant competitive advantage for our products and platforms.
You'll thrive within a dynamic, cross-functional global team, contributing across the full software development lifecycle - from conceptualization to deployment and monitoring. Applying foundational engineering practices, you will ensure the delivery of high-quality, reliable, secure, cost-optimal, and scalable software that facilitates impactful change management and accelerates business objectives. This is an incredible opportunity to be at the heart of our digital innovation, making a tangible impact on core business processes and helping solidify CBRE's industry leadership. If you're ready to architect the future of real estate and be part of a world-class engineering team that builds groundbreaking, innovative products, seize this chance to make a monumental impact.
Responsibilities
• Software Development & Delivery: Execute the full Software Development Life Cycle (SDLC) to build high-quality, innovative, and performant software. You will actively participate in feature development from exploration through release, contributing robust code, comprehensive documentation, and thorough testing.
• Technical Excellence: Apply foundational and in-depth engineering principles and techniques to accomplish complex assignments and provide innovative solutions. This includes participating in code reviews, giving and receiving constructive feedback, troubleshooting, debugging, and upgrading existing systems.
• AI/ML Integration: Leverage and integrate cutting-edge AI/Machine Learning and Large Language Models (LLMs) into applications, including prompt design, evaluation, and seamless integration. You will also contribute to building and refining machine learning workflows and AI agents, and help evaluate model performance by running experiments, monitoring outputs, and documenting results to guide team decisions.
• Operational Support: Support integration efforts by writing code, testing components, and validating data flows. You will also utilize CI/CD pipelines, follow deployment processes, and support build automation under guidance, ensuring efficient and reliable software delivery.
• Collaboration & Communication: Work effectively within a dynamic, cross-functional global team, collaborating closely with engineers, designers, and product teammates to deliver features and improvements.
• Problem Solving & Innovation: Exercise judgment based on the analysis of multiple sources of information, taking new perspectives on existing solutions. You will be expected to identify and solve complex technical challenges, significantly impacting customer experience and operational activities.
• Ownership & Initiative: Demonstrate flexibility and initiative, taking ownership of assigned tasks and striving for continuous improvement and innovation in your work.
• Agility & Change Agent: Exhibit strong technical agility by embracing change, taking initiative to explore emerging technologies, and quickly integrating new tools and practices into our development processes.
• Values Alignment: Lead by example and model behaviours consistent with CBRE RISE values. You will contribute to building consensus and influencing others, while providing efficient, timely, reliable solutions.
Required Skills
Education and Experience
• Minimum of a Bachelor's degree in Computer Science or Engineering.
• Typically has 1-3 years of relevant work experience.
• Consideration given to equivalent combination of education and experience.
• At least 1 year of experience in the Software Development Life Cycle (SDLC).
• At least 1 year of experience in full-stack software development using Java Technologies such as Java Spring Boot.
• At least 1 year of experience in one of the Cloud Technologies of AWS, GCP, or Azure.
• At least 1 year of experience in database development like SQL Server, PostgresDB, Oracle, etc.
• At least 1 year of experience with RESTful APIs or Microservices.
• Knowledge of Data Science fundamentals and Data Engineering.
Personal Attributes
• Strong engineering and technology background - ability to learn quickly and go deep into solutions.
• Effective communicator: Excellent listener; proven collaborator with peers, and broader team.
• Bold: Takes smart, calculated risks and leads through change.
• Passionate: Bring energy and enthusiasm to the job and organization.
• Outcome Focused: Consistently attain/exceed individual & team goals while solving constraints through creative problem solving.
• Reasoning Ability: Ability to comprehend, analyze, and interpret complex problems. Ability to solve problems involving several options in situations. Requires advanced analytical and quantitative skills.
Good to Have
• Master's degree in Computer Science or Engineering.
• 1-3 years' experience with a Front-End Framework such as VueJS, React, or Angular.
• 1-3 years' experience with developing AI/ML models.
• 1-3 years' experience with Agile project management tools (e.g., JIRA, Version One, ADO).
• 1-3 years' experience with CI/CD tools (e.g., Jenkins or other tools).
• 1-3 years' experience with Application Monitoring and observability tools (e.g., Datadog, Kibana).
• Knowledge of NoSQL Databases like Postgresql, DynamoDB.
• Optional knowledge on Python, Angular, .NET, SQL Server.
