Senior Cloud Engineer

• →Act as cloud architect for the Data Platform team, designing end-to-end solutions across compute, networking, identity, storage, and messaging, not just deployment pipelines

• →Drive cloud architecture decisions across Azure and AWS, ensuring solutions are secure, scalable, and cost-optimized

• →Define enterprise architecture patterns and cloud best practices that scale across multiple domains and teams

• Architect and automate deployment solutions across cloud services, including containerized workloads, serverless, and data/messaging services

• Standardize CI/CD best practices , pipeline design, branching strategy, automated testing, release gating, and rollback

• Lead infrastructure-as-code adoption (Terraform, Bicep, ARM, or CloudFormation) across Azure and AWS

• Manage shared Kubernetes cluster architecture, including namespaces, multi-tenancy, RBAC, and workload isolation

• Understand cluster networking (CNI, network policies, service mesh) well enough to design for it and troubleshoot it

• Evaluate and introduce new tooling that improves automation, deployment speed, and reliability

• Establish observability standards, monitoring, logging, alerting, and tracing, across services and environments

• Define and enforce data and infrastructure governance practices so quality and compliance scale with the platform

• Lead incident response and post-mortems for infrastructure and deployment issues

• Mentor engineers on the team in cloud architecture, DevOps practice, and troubleshooting

• Recommend and drive adoption of best practices across scrum teams within the domain

• Act as a technical escalation point for complex architecture, deployment, and infrastructure issues

You thrive at the intersection of technical depth and cross-team influence — equally comfortable designing a disaster-recovery strategy and explaining why it matters to a room of stakeholders. You challenge the status quo when a process or architecture no longer scales, and you'd rather fix the root cause than patch around it. You take ownership of outcomes across team boundaries, and you enjoy raising the technical bar for the engineers around you.

• 7+ years of experience in Cloud Architecture, DevOps, SRE, or Cloud Infrastructure Engineering, including multiple large or complex projects

• Hands-on experience designing end-to-end enterprise cloud solutions, not just deploying to existing architecture

• Deep CI/CD expertise (Azure DevOps, GitHub Actions, Jenkins, or GitLab CI)

• Broad Azure and/or AWS experience across compute, networking, identity, storage, and messaging

• Proven Kubernetes experience, including shared or multi-tenant clusters

• Strong infrastructure-as-code experience (Terraform, Bicep, ARM, or CloudFormation)

• Working knowledge of data governance and quality practices as they apply to cloud and infrastructure platforms

• Strong cross-functional communication, particularly with data engineering and security teams

• Experience with GitOps tooling (e.g., ArgoCD) for declarative, automated application deployment

• Familiarity with DevSecOps practices and embedding security throughout the deployment lifecycle

• Experience operating in a multi-cloud or hybrid (cloud + on-prem) network environment

• Certifications such as Azure Solutions Architect, AWS Solutions Architect, or CKA

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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