Senior Azure Network & Security Engineer for AI Infrastructure

🚫 Please apply only if you are the engineer who will personally do the work. We will not consider agencies, consulting firms, account managers, or subcontracted teams. We're a small growth equity firm based in Connecticut. Our team is using more AI tools internally, and we now need someone senior to help us build the secure Azure infrastructure underneath them. This role is more infrastructure, network, and security focused than AI development. We need someone who is very strong with Azure networking, Entra ID, Key Vault, private endpoints, VNets, firewalls, RBAC, managed identities, and secure access between internal systems. You should also be comfortable with DevSecOps, GitHub-based deployments, secrets management, logging, monitoring, and keeping production environments locked down without making them painful to use. The AI side matters because this environment will run LLM applications, agents, MCP servers, model APIs, and possibly some private or local models. We don't need someone to build prompts or chatbots. We need someone who understands how to securely host and operate AI infrastructure in production. Our systems connect to Microsoft 365, SharePoint, Outlook, CRM data, internal databases, and other business tools, and we handle confidential deal information. We care a lot about network isolation, identity, least-privilege access, auditability, and making sure one compromised service or agent cannot access everything else. This would start around 10-20 hours per week and could grow into an ongoing role. We're looking for an individual engineer, not an agency, and need reasonable overlap with Eastern Time. We'll likely start with a small paid trial around one part of the environment.