Nth AI is building Nexus, an AI-native implementation platform that creates the trusted data, semantic models, and governed business context enterprise AI needs to operate.
You will own the platform and infrastructure layer that allows Nexus to deploy securely and reliably inside complex enterprise Azure environments.
This is not a traditional DevOps role. You will design and build the infrastructure, deployment architecture, automation, security controls, and operational systems that make Nexus repeatable across customers.
You’ll work directly with product engineers and enterprise customer teams to turn complex Azure environments into standardized, secure deployment patterns that become part of the Nexus product itself.
What you’ll buildAzure deployment architecture: Design the infrastructure patterns Nexus uses to deploy into customer Azure environments across subscriptions, resource groups, networks, identities, and services.
Infrastructure as code: Build reusable Bicep and/or Terraform modules for repeatable provisioning, configuration, upgrades, and teardown of Nexus environments.
Identity and security: Implement Microsoft Entra ID, managed identities, service principals, RBAC, Key Vault, secrets management, least-privilege access, and secure cross-service authentication.
Networking and enterprise connectivity: Design private networking, endpoints, DNS, firewall rules, VNets, hybrid connectivity, and secure access to customer systems.
Deployment automation: Build CI/CD and release workflows that reliably deploy application code, agents, infrastructure, and configuration across development and customer environments.
Platform reliability and observability: Implement logging, metrics, alerting, health checks, failure recovery, auditability, and operational tooling across Nexus deployments.
Customer environment automation: Turn one-off enterprise deployment requirements into reusable platform capabilities that can support many customers with minimal manual intervention.
Production architecture: Partner with engineering to make decisions around containers, compute, storage, scaling, resilience, isolation, and cost across the Nexus platform.
Deep Azure infrastructure experience. You have personally designed, deployed, and operated production systems in Azure and understand subscriptions, networking, identity, security, resource organization, and enterprise governance.
Strong infrastructure-as-code skills. Hands-on experience with Bicep, Terraform, ARM, or equivalent IaC tooling. You build reusable modules rather than relying on manual portal configuration.
Production platform engineering ability. You have built deployment systems, CI/CD pipelines, environment automation, observability, and operational tooling used by real production workloads.
Enterprise security and identity fluency. Strong understanding of Entra ID, managed identities, service principals, RBAC, Key Vault, private networking, secrets, and least-privilege architecture.
Software engineering ability. Comfortable writing production Python, TypeScript, PowerShell, Bash, or similar code to build automation, internal tooling, APIs, and platform services.
Strong architectural judgment. You can make pragmatic tradeoffs across security, reliability, developer velocity, scalability, and cost, and can explain those tradeoffs clearly.
Enterprise customer experience. You can work directly with customer cloud, security, and infrastructure teams to navigate real-world constraints and get production deployments live.
Experience with Microsoft Fabric, Azure AI Foundry, Azure Container Apps, AKS, Azure Container Registry, Azure Monitor, Application Insights, Defender for Cloud, Azure Policy, Private Link, or Azure DevOps/GitHub Actions.
Experience building multi-tenant or customer-isolated SaaS infrastructure, particularly software deployed into customer-owned cloud environments.
Experience with enterprise landing zones, regulated environments, hybrid networking, or environments where infrastructure must comply with strict customer security and governance requirements.
What success looks likeWithin your first months, you will help turn Nexus deployment from an environment-specific engineering exercise into a repeatable software capability.
A new enterprise deployment should increasingly become something Nexus can provision, configure, secure, validate, monitor, and upgrade through automation rather than manual infrastructure work.
Skills Required
- Deep hands-on experience designing, deploying, and operating production systems in Microsoft Azure
- Experience with infrastructure as code using Bicep, Terraform, ARM, or equivalent tooling
- Experience building production deployment systems, CI/CD pipelines, environment automation, observability, and operational tooling
- Strong understanding of Microsoft Entra ID, managed identities, service principals, RBAC, Key Vault, private networking, secrets management, and least-privilege architecture
- Production software engineering experience with Python, TypeScript, PowerShell, Bash, or similar languages
- Ability to make architectural tradeoffs involving security, reliability, developer velocity, scalability, and cost
- Ability to work directly with enterprise cloud, security, and infrastructure teams
- Experience with Microsoft Fabric, Azure AI Foundry, Azure Container Apps, AKS, Azure Container Registry, Azure Monitor, Application Insights, Defender for Cloud, Azure Policy, Private Link, or Azure DevOps/GitHub Actions
- Experience building multi-tenant or customer-isolated SaaS infrastructure deployed into customer-owned cloud environments
- Experience with enterprise landing zones, regulated environments, hybrid networking, or strict security and governance requirements
What We Do
Nth AI builds enterprise AI software centered on Nexus, an enterprise context layer that helps AI agents understand company data, definitions, relationships, and policies. The platform automates data integration, semantic modeling, and governance, turning complex AI implementation into repeatable software. Built within Microsoft Azure and Fabric, it is designed to help organizations connect systems, codify business knowledge, and bring AI applications into production with trusted, governed context.






