Senior Azure Cloud, Security & AI Operations Engineer

🕒 il y a 10 mois

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AI Technology Partners

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2020

🤖 Intelligence artificielle

🤝 B2B

🏢 Entreprise

Artificial Intelligence • B2B • Enterprise

AI Technology Partners est un fournisseur leader de solutions d'IA générative conçues pour favoriser un impact commercial et améliorer l'efficacité opérationnelle au sein des entreprises. Ils offrent des services d'IA générative sur mesure visant à améliorer la productivité des employés, réduire les coûts et optimiser les processus opérationnels critiques à travers diverses fonctions commerciales, y compris le marketing, les ventes et les ressources humaines. Avec un accent sur la mise en œuvre pratique et une formation complète, AI Technology Partners garantit que les clients exploitent efficacement la puissance de l'IA pour obtenir des avantages concurrentiels sur leurs marchés respectifs.

Description

• This is a remote position. • Senior Azure Cloud, Security & AI Operations Engineer • Employment type: Full-Time (Permanent) or Contract (40 hrs/week) • Location: Remote (U.S., Canada or Latin America preferred). • Platform & DevOps: 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. • Security & Compliance (DevSecOps): 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. • Reliability & Operations (SRE): Establish SLOs/SLIs, error budgets, and proactive capacity/perf management. • Stand up end-to-end observability (Azure Monitor, Log Analytics, Application Insights, etc.) and actionable alerting; reduce MTTR with auto-remediation. • Lead incident response, post-incident reviews, and systemic hardening. • AI-enabled automation: 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. • Client-facing impact: Work directly with enterprise client teams; translate requirements into secure, reliable designs; present trade-offs; guide adoption and handover.

🎯 Exigences

• 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. • ACS (Azure Container Service) production experience; ingress, service mesh, autoscaling, and node pool security. • Cross-cloud exposure (AWS/GCP), private connectivity (ExpressRoute), and hybrid/on-prem integrations. • Background in secure enterprise environments; audit evidence automation and compliance reporting.

🏖️ Avantages

• Challenging work with modern AI workloads and demanding enterprise environments. • Learning & sharing culture with dedicated time for deep dives, brown bags, and certs. • Inclusive, flexible workplace —bring your whole self; work where you do your best thinking. • Ownership & autonomy: You’ll make architecture decisions and see them through production. • Small team, big leverage: Low ceremony, high impact; we value judgment 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.