JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
About the Role
We are seeking an experienced Senior Multi-Cloud Platform Engineer to design, implement, and maintain our cloud infrastructure with a primary focus on AWS. You will be a cornerstone of JLL's Platform Engineering team, architecting secure, scalable, and highly available cloud solutions that underpin enterprise technology services across the organization.
This is a hands-on engineering role that also carries meaningful technical leadership responsibilities. You will mentor junior engineers, lead platform initiatives, and collaborate with cross-functional stakeholders — translating complex infrastructure requirements into reliable delivery outcomes. Experience with AI tooling, including Model Context Protocol (MCP) integrations, is essential as we continue to evolve our platforms to support intelligent, AI-augmented workflows.
Key Responsibilities
Cloud Architecture & Infrastructure
Design, implement, and optimize AWS-based infrastructure as the primary cloud environment, including compute, storage, networking, identity, and security services
Implement scalable, fault-tolerant platform solutions that meet enterprise performance, reliability, and compliance requirements
Lead cloud modernization and infrastructure transformation initiatives aligned with JLL's technology roadmap
Platform & DevOps Engineering
Develop and maintain infrastructure as code (IaC) using Terraform, AWS CloudFormation, and Azure ARM/Bicep templates
Build, manage, and optimize containerized workloads using EKS (primary) and AKS, leveraging Karpenter for dynamic node provisioning
Deploy and operate service mesh solutions (Istio) and GitOps workflows (ArgoCD) across container environments
Design, build, and maintain CI/CD pipelines using GitHub Actions for automated testing, security scanning, and deployment workflows
AI Platform & MCP Integration
Implement and maintain Model Context Protocol (MCP) server integrations, enabling AI agents and LLM-powered applications to interact securely with enterprise systems and data sources
Evaluate and adopt emerging AI infrastructure patterns (RAG pipelines, agentic frameworks, AI gateway layers) into the platform engineering practice
Ensure AI/ML workloads meet security, observability, and scalability standards consistent with enterprise platform requirements
Security, Governance & Cost Management
Establish, enforce, and continuously improve cloud security standards, identity/access management policies, and compliance frameworks across environments
Implement infrastructure-level controls supporting regulatory and governance requirements
Drive cloud cost optimization through resource right-sizing, reserved capacity strategies, and FinOps practices
Build observability and monitoring solutions using Datadog or equivalent platforms to ensure platform health and SLA compliance
Technical Leadership & Collaboration
Provide technical guidance and mentorship to junior and mid-level platform engineers, fostering growth in systems development and cloud engineering practices
Lead systems development projects and infrastructure initiatives, coordinating delivery across engineering teams and business stakeholders
Communicate infrastructure designs, platform recommendations, and technical trade-offs clearly to stakeholders across engineering, architecture, and business units
Troubleshoot complex, high-impact issues across cloud environments and drive root cause resolution
Required Qualifications
5+ years of hands-on experience in cloud platform or infrastructure engineering roles
Deep, production-grade expertise with AWS (primary): EC2, EKS, RDS, S3, VPC, IAM, Lambda, CloudWatch, and related services
Demonstrated experience with container orchestration using Kubernetes; strong proficiency with EKS required, AKS experience valued
Hands-on experience with Karpenter, ArgoCD, and Istio in production Kubernetes environments
Advanced proficiency with infrastructure as code tools, particularly Terraform; experience with AWS CloudFormation and/or Azure ARM/Bicep
Experience integrating or operationalizing AI/ML workloads on cloud platforms, including familiarity with agentic frameworks, LLM APIs, vector stores, or model serving infrastructure
Working knowledge of MCP (Model Context Protocol) — ability to deploy, configure, and maintain MCP servers that connect AI agents to enterprise tools and data sources
Demonstrated use of AI-assisted development practices — leveraging AI tooling, LLM models, and agentic workflows to accelerate engineering, automate repetitive tasks, and improve delivery quality and productivity
Expertise in cloud security principles: network segmentation, IAM least-privilege, secrets management, vulnerability scanning, and compliance automation
Advanced proficiency with GitHub and GitHub Actions for CI/CD workflow design and automation
Advanced knowledge of cloud networking: VPCs, peering, transit gateways, DNS, load balancing, and private connectivity patterns
Strong communication skills with the ability to convey complex technical concepts to both engineering peers and non-technical stakeholders
Self-directed work ethic with demonstrated ability to manage complex, long-horizon projects independently
Preferred Qualifications
AWS certifications: Solutions Architect (Associate or Professional), DevOps Engineer, or Security Specialty
Azure certifications: Solutions Architect Expert, DevOps Engineer Expert, or Security Engineer Associate
Hands-on experience with Azure and/or GCP in production or enterprise environments
Experience building or maintaining AI agent frameworks (e.g., Bedrock, AgentCore, Azure Foundry) on cloud infrastructure
Familiarity with enterprise observability platforms, particularly Datadog (APM, infrastructure monitoring, log management)
Background in supporting enterprise-scale, multi-tenant applications with high availability and strict SLA requirements
Experience with hybrid cloud architectures and on-premises-to-cloud integration patterns
Knowledge of FinOps practices and cloud cost governance tooling (AWS Cost Explorer, CloudHealth, or similar)
We are seeking a proactive cloud professional with deep AWS expertise and strong multi‑cloud experience, able to work independently on complex challenges and deliver secure, scalable, and resilient cloud platforms. The role applies established systems development methodologies, infrastructure and software architecture principles, and modern platform engineering practices to enhance JLL’s enterprise cloud capabilities.
The position incorporates the applied use of AI within cloud platforms, including leveraging AI services and agent‑based frameworks to improve automation, operational efficiency, and platform reliability. This includes supporting AI/ML workloads, integrating intelligent agents into cloud workflows where appropriate, and ensuring AI usage is aligned with enterprise standards for security, governance, observability, and cost management.
The role carries technical leadership expectations, including mentoring junior engineers, influencing engineering standards, and leading platform initiatives across cross‑functional teams to deliver dependable, enterprise‑grade cloud solutions.
JLL is committed to hiring and developing the most talented people. Equal Opportunity Employer.
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
