Multi Cloud DevOps Lead (AWS + GCP) AI/ MLOps

Hiring: Multi-Cloud DevOps Lead (AWS + GCP) | AI | MLOps | Platform EngineeringOne of our clients seeking an experienced Multi-Cloud DevOps Lead to drive enterprise cloud modernization initiatives across AWS and GCP environments. This is a hands-on technical leadership role focused on cloud architecture, DevOps enablement, AI integration, data engineering, and platform strategy.🔹Role : Multi-Cloud DevOps Lead (AWS + GCP) | AI | MLOps | Platform Engineering🔹Location : West Palm Beach, Florida , Onsite or Hybrid (2 times in a month)🔹Engagement: Contract🔹Experience : 10+ YearsKey Responsibilities1. Multi-Cloud Architecture & Governance• Define and implement cloud-agnostic architecture patterns across AWS and GCP• Standardize GCP governance aligned to AWS controls• Establish reusable reference architectures for data, AI, and infrastructure• Promote abstraction via:o Containers (Kubernetes)o APIso Infrastructure as Code (Terraform) 2. Hands-On Enablement (POCs & Pipeline Delivery)• Build proof-of-concept solutions to validate architecture patterns• Develop and optimize data pipelines and integrations across systems (ServiceNow, Apptio, Jira)• Implement AI-enabled workflows (model integration, automation)• Provide hands-on support to delivery teams to accelerate adoption• Translate architecture into working, scalable solutions 3. AI Integration & MLOps Enablement• Design and implement AI-ready pipelines (structured + unstructured data)• Support:o Model integration into enterprise workflowso MLOps lifecycle enablement (CI/CD, monitoring, governance)o AI tool/vendor evaluation• Mature organization from:o POCs → Embedded AI → Governed enterprise AI 4. Data Architecture & Integration (CMDB/APM-Aligned)• Architect data flows integrating:o ServiceNow (CMDB/APM)o Apptio (cost transparency)o Jira (delivery data)• Address key challenges:o Data latencyo Data duplicationo Cost visibility gaps• Enforce system-of-record and data ownership principles 5. Governance & FinOps (Advisory + Enablement)• Define standards for:o Cloud cost optimization (FinOps)o AI governance and lifecycle managemento Data quality and pipeline SLAs• Support KPI transparency:o Cloud cost per applicationo Data pipeline reliabilityo AI ROI• Guide teams while enabling them through working solutions 6. Platform Strategy & Shared Services Leadership• Act as a central architecture leader and enabler• Support teams through:o Architecture reviewso POC deliveryo Design guidance• Build reusable enterprise assets:o Patternso Templateso Integration frameworks Required Experience• 7+ years in cloud architecture, data engineering, or infrastructure• Proven experience in multi-cloud environments (AWS + GCP)• Demonstrated ability to:o Design architecture and deliver working solutionso Build data pipelines and integrations• Strong experience with:o Python, SQLo ETL/ELT pipelineso Infrastructure as Code (Terraform preferred)o Containers (Kubernetes) AI & Modern Architecture Requirements• Hands-on experience with:o AI/ML integration into enterprise pipelineso MLOps or AI lifecycle tooling• Experience evaluating and implementing:o AI platformso Automation tooling Preferred Experience• ServiceNow CMDB/APM integration• Apptio (cost allocation / FinOps)• Experience solving:o Cross-system duplicationo Data lineage challenges• Exposure to Generative AI integrationSuccess Metrics (Aligned to Your KPIs)• Reduction in cloud cost per application• Improvement in pipeline SLAs• Reduction in duplicate data/integrations• Increase in production AI-enabled workflows• Adoption of multi-cloud architecture standards• Number of successful POCs transitioned to production