Senior Multi-Cloud Platform Engineer

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. 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. Location: On-site –Bengaluru, KA Scheduled Weekly Hours: 40 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. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. 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. Activate your Personal Job Alerts now and receive opportunities as soon as they are advertised. If you're a current JLL employee, please apply using the Internal Career Site At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world. For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500® company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit jll.com.