Software Engineer Staff

We are looking for a highly skilled Staff Software Engineer to join our team and drive the development of cutting-edge applications to drive our Occupier solutions business.

You will play a technical leadership role, influencing both strategy and execution while mentoring engineers and collaborating with cross-functional teams to build next-generation Occupier solutions, micro frontend architectures, modern React-based applications, AI-driven data platforms, and computing infrastructure that ensures high availability, security, and consistency in a fast-paced environment. This role requires deep expertise in building cloud native applications, distributed systems, cloud infrastructure, and AI/ML workloads to deliver reliable, intelligent, and high-performing platforms at scale.

Key Responsibilities

• Architect & Build: Architect, design, and develop scalable, fault-tolerant, and highly available applications across frontend (React, micro frontends) and backend services deployed in Azure cloud.
• AI-Driven Automation: Implement AI-powered workflows and experiment with emerging AI/ML capabilities that help our brokers streamline their work and improve operational efficiency.
• Security & Compliance: Ensure adherence to data security, privacy regulations and financial compliance standards.
• Cross-Functional Leadership: Partner with engineering, product, risk, and compliance teams to drive innovation in transactional and AI-powered systems.
• Mentorship & Code Excellence: Provide technical mentorship and uphold high engineering standards through code reviews, system design discussions, and best practices.
• Technical Leadership: Lead and facilitate technical discussions, design reviews, and Scrum ceremonies.
• Engineering Best Practices: Ensure best practices across code quality, testing, observability, and deployment, including writing and maintaining strong unit test coverage.
• Influence & Challenge: Influence and challenge requirements and approaches with data-driven insights, ensuring scalability and maintainability.
• DevOps Thought Leadership: Demonstrates DevOps thought leadership by driving best practices, fostering a culture of collaboration, and continuously improving CI/CD pipelines, release automation, and observability practices.
• Architecture Review: Document design decisions and present them to the Architecture Review Board (ARB) for review.
• Technical Risk Management: Identify risks early during planning and create mitigation strategies to avoid last-minute changes.
• Technical Debt: Document and prioritize technical debt, ensuring it is incorporated into sprints.
• Build vs Buy: Exhibits strategic decision-making in Build vs Buy scenarios by evaluating technical feasibility, cost, time-to-market, and long-term scalability to align with business objectives.

Basic Qualifications

• 15+ years of experience in software engineering, distributed systems, and application development.
• Deep expertise in transactional database architectures (SQL, NoSQL), ACID principles, and event-driven processing.

Technical Debt: Document and prioritize technical debt, ensuring it is incorporated into sprints.

Strong coding skills in C#, React, and Python with expertise in distributed computing, microservices, micro frontend architectures, and containerized deployments (Kubernetes, Docker).

Strong understanding of MLOps, data pipelines, and cloud-native AI/ML deployment (Azure preferred).

Domain expertise in Commercial Real Estate (CRE) is a plus; ability to quickly learn the business domain is essential.

Hands-on experience with Azure services such as:

o Azure App Services, Azure Functions, App Insights.

o Azure APIM, Azure Service Bus, Redis, Azure Cognitive Search.

o Azure SQL, Cosmos DB, Databricks.

o Azure DevOps pipelines and deployment automation.

• Optional / Good-to-Have Skills

• Engineer robust, production-quality Excel-based systems (including VBA/macros, complex formulas, data models, and Excel–API integrations) using strong software engineering best practices to automate and scale critical workflows.

• Integrate Excel-centric solutions with backend services and selected productivity tools—SharePoint Online and Power Platform—to enable controlled automation, reporting, and collaboration without compromising maintainability or performance.