Deployment Engineer

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 Client analytics, AI, and digital platforms.

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

• 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

• 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

• 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

• 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

• 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

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

• 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

• Dev Ops & 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

• CI/CD platforms (Azure Dev Ops, Git Hub Actions, Jenkins, or equivalent)
• Infrastructure as Code:
  Terraform, ARM templates, Bicep, Cloud Formation
• Containers & orchestration:
  Docker, Kubernetes
• Monitoring & observability:
  Azure Monitor, Log Analytics, Cloud Watch, Prometheus

• 8+ years of experience in Cloud, Dev Ops, 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

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.