Senior Azure Cloud, Security & AI Operations Engineer

AI Technology Partners (AITP) is a leader in delivering cutting-edge generative AI solutions and managed services, specializing in secure, customizable AI deployments for enterprises. Our offerings are designed to help organizations unlock the full value of AI while maintaining robust security and compliance across their infrastructures.

About the role

At AI Technology Partners (AITP), we empower enterprises to scale revenue & profit —with secure, compliant generative AI solutions.

This role is a force-multiplier on a small, high-trust team: you’ll design and run production-grade Azure platforms, embed security into every step, and use AI to accelerate delivery. If you like shipping, automating, and owning outcomes with real customer impact, you’ll fit right in.

What you'll do

·      Own and evolve Azure foundations: subscription strategy, landing zones, networking (VNets, Private Link, Firewall), identity (Entra ID), secrets (Key Vault/Managed HSM), and data services (e.g., Cosmos DB, MongoDB Atlas, Storage).

·      Design, implement, and harden CI/CD (GitHub Actions and/or Azure DevOps) for apps, infra, and policies; champion Infrastructure as Code (Terraform and/or Bicep).

·      Build golden images/base containers, artifact pipelines, and automated drift detection.

·      Operate and automate threat detection/response (e.g., Microsoft Sentinel, Defender for Cloud) and container/dependency scanning (e.g., Snyk, Trivy).

·      Enforce least-privilege IAM, certificate rotation, and secrets hygiene across environments.

·      Map controls to frameworks (e.g., ISO 27001, SOC 2, NIST, HIPAA, GDPR, FedRAMP contexts) and produce practical evidence via policy-as-code and reporting for our clients and certification processes.

·      Establish SLOs/SLIs, error budgets, and proactive capacity/perf management.

·      Stand up end-to-end observability (e.g., Azure Monitor, Log Analytics, Application Insights, etc.) and actionable alerting; reduce MTTR with auto-remediation.

·      Lead incident response, post-incident reviews, and systemic hardening.

·      Use LLMs/code-gen to boost infra and ops workflows: pipeline scaffolding, policy generation, runbook creation, and knowledge capture.

·      Partner with our product/solutions teams to run AI workloads securely in production.

·      Work directly with enterprise client teams; translate requirements into secure, reliable designs; present trade-offs; guide adoption and handover.

Qualifications

·      Senior-level experience operating and securing Azure at scale (multi-subscription/tenant patterns, landing zones, network isolation, identity, and data).

·      Deep hands-on with Terraform (or Bicep), GitHub Actions/Azure DevOps, containers, and modern artifact workflows.

·      Practical Security: SIEM/SOAR (Sentinel or similar), image/dependency scanning, vulnerability management, and policy-as-code.

·      Strong observability chops (Azure Monitor/Log Analytics/App Insights, OpenTelemetry) and an SRE mindset.

·      Clear communicator who’s comfortable with client interaction and crisp written docs.

·      Azure Container Registry (ACR) including scaling, ingress, networking, and security.

·      GitHub Actions pipelines, workflows, and deployments.

·      Core Stack Experience & Summary:

o   Infra as Code: Terraform

o   Cloud & Containers: ACA, ACR, Key Vault, Storage, Cosmos DB, Monitor, App Insights, Application Gateway, Private Endpoints, Bastion

o   Databases: MongoDB Atlas, Cosmos DB, MeiliSearch, Vector Search

o   AI/ML: Azure OpenAI (GPT-4.1), LibreChat RAG pipelines, MeiliSearch, multi-cloud AI providers (OpenAI, Google Gemini, Cohere)

o   CI/CD & DevOps: GitHub + GitHub Actions, Terraform automation, Docker workflows

o   Security & Identity: Azure AD/Entra ID, OIDC/JWT, Defender/Sentinel, Key Vault, policy-as-code

o   Observability: Azure Monitor, Log Analytics, Application Insights

·      Cross-cloud exposure (AWS/GCP), private connectivity (ExpressRoute), and hybrid/on-prem integrations.

·      Background in secure enterprise environments; audit evidence automation and compliance reporting.

Location

Remote, US-based candidates preferred. The role may involve working across multiple time zones.

How we work

·      Ownership & autonomy: You'll make architecture decisions and see them through production.

·      Small team, big leverage: Low ceremony, high impact; we value judgement and momentum.

·      Security by design: Controls are built-in, not bolted on.

·      AI in the loop: We use AI where it creates real leverage-never as theater.

·      Challenging work with modern AI workloads and demanding enterprise environments.

·      Learning & sharing culture with deep dives, brown bags, and support for certifications/publication.

·      Inclusive, flexible workplace—bring your whole self; work where you do your best thinking.

How to Apply

Interested candidates are encouraged to submit their resumes and a brief cover letter outlining relevant experience and why they are a good fit for this role.

Equal Opportunity Statement

AI Technology Partners is committed to equal employment opportunity in all practices and reaffirms that there shall be no unlawful discrimination against any employee or applicant for employment on the grounds of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.