Senior Manager, Software Engineering

As a Senior Manager, Software Engineering on the Leasing Engineering team, you will lead the architecture, delivery, modernization, and operational excellence of enterprise-scale real estate and digital marketplace platforms. The role will drive multi-disciplinary engineering teams across front-end, backend, data engineering, cloud platforms, integrations, DevOps, and enterprise architecture while ensuring scalability, security, reliability, and business alignment. You'll partner closely with product, marketing, and data teams to set technical direction, grow a high-performing engineering team. You bring an AI-first mindset to everything you build - actively exploring how emerging technologies can unlock new capabilities, accelerate delivery, and redefine what's possible for our Leasing platforms. This is a high-impact leadership role with real ownership over team culture, technical quality, and product outcomes.

• →Lead engineering team delivering highly scalable web, data, and platform solutions built on modern cloud-native architectures.
• →Define and execute technology strategy, architecture roadmaps, modernization initiatives, and engineering best practices across product portfolios.
• →Partner with Product Management, Architecture, Data Engineering, Security, and Business stakeholders to translate business requirements into scalable technical solutions.
• →Drive engineering excellence through Agile delivery, CI/CD automation, quality engineering, observability, and DevSecOps practices.
• →Manage technical delivery across frontend applications, backend services, enterprise integrations, data platforms, and cloud infrastructure.
• →Establish governance around performance, reliability, security, compliance, resiliency, and cost optimization.
• →Mentor technical leads, software engineers, and data engineers while fostering a culture of innovation and continuous improvement.
• →Lead architecture reviews, technical decision-making, risk management, and vendor/platform evaluations.
• →Drive adoption of AI-enabled development, automation, cloud-native services, and data-driven engineering practices.

• Agentic AI Enablement: Architect, deploy, and scale Agentic AI systems that perform adaptive, autonomous operations - including multi-agent coordination, intelligent decision-making, and proactive remediation - across cloud and hybrid environments

• React 18+, Next.js 16+, TypeScript, Vite
• Tailwind CSS, Radix UI, Solstice/Alize Design Systems
• Modern UI architecture, accessibility, responsive design, and performance optimization

• Python 3.11, Django 5.x, Django REST Framework
• Node.js, TypeScript-based serverless architectures
• GraphQL, RESTful APIs
• Event-driven and microservices-based architecture

• Azure Data Factory (ADF), Azure Databricks
• SQL Server, PostgreSQL, Prisma ORM
• ETL/ELT pipelines, data integration, and data governance

• Elasticsearch, Kibana
• Apache Solr
• RabbitMQ, Kafka
• Mapbox, Google Maps

• Microsoft Azure (Azure Functions, Azure Blob Storage, Azure Cosmos DB)
• Docker, Docker Compose
• Infrastructure as Code (Terraform)
• Cloud-native application design and deployment

• Okta Identity Management, OAuth 2.0, OpenID Connect (OIDC)
• Secure API gateway architectures

• GitHub Actions
• JFrog Artifactory
• Jest, React Testing Library, Playwright
• Azure Application Insights
• CI/CD pipeline governance and release management

• BA/BS Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 10+ years of progressive software engineering experience with 3+ years in engineering leadership roles.
• Proven experience leading globally distributed engineering teams and managing multiple product portfolios.
• Strong expertise in cloud-native architecture, enterprise platforms, and large-scale digital transformation initiatives.
• Experience managing budgets, vendor engagements, resource planning, and technology roadmaps.
• Demonstrated success in stakeholder management across executive leadership, product organizations, and business partners.
• Strong understanding of software development lifecycle, Agile delivery, DevSecOps, and engineering metrics.
• Ability to balance strategic planning with execution excellence while driving innovation and organizational growth.

JLL Technologies is a division of JLL, a world leader in real estate services. We are shaping the future of real estate for a better world by combining world-class services and advisory with innovative technology. JLL has invested more in technology than any other commercial real estate company, enabling us to develop industry-leading AI-powered solutions. We are committed to fostering a diverse and inclusive culture where our people can thrive and grow meaningful careers.

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

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.

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Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.