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Urgent! AI Infrastructure Specialist (MS Ecosystem) 12 months Fixed Term Job Opening In Warsaw – Now Hiring IFS

AI Infrastructure Specialist (MS Ecosystem) 12 months Fixed Term



Job description

Job Description

We are seeking an experienced Microsoft Specialist spanning Integration, Infrastructure, Security, and Data to enable robust, secure foundations for both AI and non‑AI workloads.

You will design and operate Azure landing zones, implement enterprise‑grade security, engineer integrations across Microsoft 365 and enterprise systems, and support data pipelines that power analytics and AI.


You will work hands‑on while also advising on architecture and governance, collaborating with Security, Infrastructure, and Product teams to ensure solutions are scalable, compliant, and cost‑effective.

You will build automation, observability, and documentation that make our platforms reliable and auditable.



This role suits a T‑shaped technologist with depth in at least two domains and breadth across the Microsoft stack, who can navigate ambiguity and deliver pragmatic outcomes.

Key Responsibilities

  • Design and operate Azure landing zones, networks, identity, and resource hierarchies following best practices.
  • Implement Infrastructure‑as‑Code (Bicep/Terraform) and CI/CD (Azure DevOps/GitHub) for repeatable environments.
  • Engineer integrations using REST/Graph APIs, webhooks, Logic Apps, and Event Grid/Service Bus patterns.
  • Harden identity and access (Entra ID, Conditional Access, PIM) and implement least‑privilege controls.
  • Deploy and tune security controls (Defender for Cloud, Sentinel) with alerting and incident workflows.
  • Establish governance (Azure Policy, tagging, cost management) and operational runbooks.
  • Support data platforms and pipelines (Azure SQL, Data Factory, Synapse, Databricks) for analytics/AI.
  • Implement monitoring/observability (Azure Monitor, Log Analytics) and SLO/SLI reporting.
  • Collaborate with InfoSec on risk assessments, compliance (GDPR/ISO), and data protection for AI.
  • Provide L3 support and technical guidance; document architectures, standards, and KBs.
  • Qualifications

    Skills & Competencies

  • Azure architecture (compute, networking, storage), identity, and security fundamentals.
  • Microsoft 365/Graph API, Power Platform, and integration patterns.
  • Security engineering (Defender, Sentinel), governance, and compliance know‑how.
  • Data platform familiarity (Azure SQL, Synapse, Data Factory/Databricks) and data quality practices.
  • DevOps/automation (Bicep/Terraform, pipelines) and scripting (PowerShell).
  • Observability and reliability engineering; incident response and RCA.
  • Strong documentation, stakeholder engagement, and advisory skills.
  • Pragmatic, outcome‑oriented mindset with bias for automation.
  • Experience enabling AI/ML workloads in Azure is a plus.
  • Ability to navigate ambiguity and balance speed, cost, and risk.
  • Qualifications

    Required:

  • 7+ years across the Microsoft stack (Azure, M365, Power Platform, integration, or data).
  • Depth in at least two domains: Integration, Infrastructure, Security, Data.
  • Hands‑on experience with Azure administration/architecture and identity/security controls.
  • Proficiency with APIs/Graph, scripting (PowerShell), and CI/CD automation.
  • Preferred:
  • Relevant certifications: AZ‑305/104, SC‑200/300, DP‑203 (or similar).
  • Experience in hybrid environments and enterprise networking.
  • Background supporting AI/ML workloads and data governance.
  • Familiarity with cost optimization and FinOps practices.

  • Required Skill Profession

    Computer Occupations



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