Lead Azure AI Security Engineer
E
EPAM SystemsCloud Security
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English B2
- Experience
- 3+ years
- Required Skills
- PythonAzure
Requirements
- 3+ years of experience in software development.
- Bachelor's degree in Computer Science, Information Security, Engineering or equivalent practical experience.
- Hands-on experience with Microsoft Azure services.
- Strong understanding of cloud security concepts, Azure architecture and enterprise-scale cloud environments.
- Practical experience with Microsoft Entra ID/Azure Active Directory, Microsoft Defender for Cloud and Microsoft Defender XDR.
- Skills in Microsoft Sentinel, Microsoft Purview and Microsoft Intune.
- Proficiency in Conditional Access, Identity Protection and Privileged Identity Management.
- Competency in Key Vault, Azure Policy and Azure Monitor/Log Analytics.
- Strong engineering background including experience with Active Directory, Microsoft Entra ID, Microsoft 365, Exchange Online and hybrid identity.
- Understanding of software development lifecycle, DevOps/DevSecOps practices and secure-by-design principles.
- Practical understanding of AI-assisted productivity and automation, including building or configuring AI agents and prompt engineering.
- B2 proficiency in English.
Responsibilities
- Provide technical leadership and subject matter expertise in securing Azure and Microsoft cloud environments at enterprise scale.
- Design, implement and improve security architecture across Azure, Microsoft 365, Microsoft Entra ID, hybrid and multi-cloud environments.
- Plan, design and implement security controls for cloud workloads, applications, infrastructure and data.
- Develop and maintain automation scripts, workflows and security tooling using PowerShell, Python, Azure CLI, Logic Apps, Azure Functions, KQL and REST APIs.
- Integrate AI agents and AI-assisted automations into security workflows while ensuring proper security, privacy and governance controls.
- Define guardrails for AI adoption regarding data protection, access control, prompt security, and model usage.
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