Senior Deployment Engineer – Cloud, Data & AI Platforms

Senior Deployment Engineer Cloud Data & AI Platforms

Client: KPMG

Location: Montvale NJ & Iselin NJ (Onsite three days a week)

Exp Required 10 years

Role Summary

Senior Deployment Engineer to lead the deployment automation and operational enablement of enterprise scale cloud data and AI platforms. This role is critical to ensuring production ready secure and scalable deployments across KPMGs analytics AI and digital platforms.

The engineer will work closely with KPMGs cloud platform data engineering AI DevOps and security teams. The role requires deep hands on expertise combined with the ability to own deployment strategy improve platform standards.

Key Responsibilities

Enterprise Platform Deployment Leadership

• Lead end to end deployment of complex cloud data and AI platforms across mostly Azure but also AWS
• Own deployment architecture standards and operational readiness for non prod and production environments
• Serve as the senior escalation point for deployment related failures instability or performance issues

DevOps & CI/CD Excellence

• Design build and optimize enterprise grade CI/CD pipelines for application data and AI workloads
• Establish and enforce deployment best practices including versioning rollback strategies and environment parity
• Drive automation to minimize manual deployment effort and reduce operational risk

Kubernetes & Container Platforms

• Lead deployment and operations of containerized platforms on AKS (Azure Kubernetes Service)
• Manage cluster configuration scaling ingress/egress secrets and workload isolation
• Support container security resilience and high availability standards

Data & Analytics Platform Enablement

• Own deployment and operationalization of Databricks and Microsoft Fabric environments
• Support enterprise data workloads including lakehouse architectures analytics pipelines and platform integrations
• Partner with data engineering teams to ensure deployments are optimized for scale cost and performance

AI Platform Deployment

• Lead deployment of AI solutions using Azure OpenAI Service
• Support environment configuration endpoint management security controls and production hardening
• Operationalize AI workloads responsibly and securely

Infrastructure as Code & Cloud Engineering

• Build and maintain Infrastructure as Code (IaC) using Terraform ARM/Bicep or CloudFormation
• Ensure cloud resources follow enterprise security networking and governance standards
• Optimize cloud environments for cost efficiency performance and reliability

Security Monitoring & Compliance

• Implement and enforce cloud security best practices (IAM secrets encryption network isolation)
• Own monitoring logging and alerting strategy across deployed platforms
• Support audits compliance reviews and production readiness validations in regulated environments

Required Technical Skills

Core Expertise (Senior Level)

• DevOps & Deployment Engineering in large scale enterprise environments
• Azure Cloud (strong experience across compute networking security and governance)
• AKS (Azure Kubernetes Service) production deployment and operations
• Databricks enterprise deployment and platform enablement
• Microsoft Fabric environment setup and operational support
• AI Platforms experience deploying solutions using Azure OpenAI Service
• AWS Cloud hands on deployment and operational understanding

Tooling & Technologies

• CI/CD platforms (Azure DevOps GitHub Actions Jenkins or equivalent)
• Infrastructure as Code: Terraform ARM templates Bicep CloudFormation
• Containers & orchestration: Docker Kubernetes
• Monitoring & observability: Azure Monitor Log Analytics CloudWatch Prometheus

Qualifications & Experience

• 8 years of experience in Cloud DevOps or Deployment Engineering roles
• Proven experience leading deployments for data analytics and AI platforms
• Strong background supporting production enterprise systems
• Experience in regulated or audit driven environments is highly preferred
• Ability to operate independently and lead complex deployment initiatives end to end