Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
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, 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
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.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Skills Required
- 8+ years of experience in Cloud, DevOps, or Deployment Engineering roles
- Strong understanding of Azure Cloud
- Experience with AKS for production deployment
- Experience deploying Databricks and Microsoft Fabric environments
- Hands-on experience with AI platforms including Azure OpenAI Service
Orion Innovation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Orion Innovation and has not been reviewed or approved by Orion Innovation.
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Wellbeing & Lifestyle Benefits — Orion highlights health and well-being initiatives such as fitness, mindfulness, and flexibility/remote options, reinforced by recognition like Cigna’s Healthy Workforce Designation. Flexibility via hybrid/remote work is positioned as a consistent part of the overall rewards experience.
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Fair & Transparent Compensation — Pay is characterized as moderately satisfactory overall, with pockets where compensation is viewed as fair, particularly for some software engineering and certain U.S. roles. Public snapshots also indicate that competitiveness can be stronger in specific markets and functions.
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Career-Linked Recognition & Rewards — Performance-linked outcomes are implied through mentions that hikes can be good when performance is demonstrated. Learning and development programs are also emphasized as part of the broader value proposition tied to career growth.
Orion Innovation Insights
What We Do
Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America. For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale. Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise. Our business has more than tripled over the last three years. We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.
