Staff Cloud Security Architect, AI Solutions
E
emagine PolskaHealthcare / Pharmacy
Remote/ WarsawContractStaff
Salary not disclosed
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Job Details
- Languages
- English B1
- Required Skills
- PythonArtificial IntelligenceMicrosoft AzureCI/CDTerraformDocumentation
Requirements
- Strong hands-on experience with Microsoft Azure cloud architecture.
- Strong cloud security expertise, including identity, networking, encryption, secrets management, logging, and monitoring.
- Experience designing secure infrastructure for AI applications, AI agents, APIs, or data-consuming applications.
- Experience with sandboxed code execution, Python runtime environments, containerized workloads, or isolated compute.
- Strong knowledge of network segregation, private endpoints, firewalls, and controlled egress.
- Strong experience with Terraform for infrastructure provisioning.
- Strong experience with GitHub Enterprise, GitHub Actions, repository governance, and secure CI/CD patterns.
- Experience with Azure DevOps, ideally including migration to GitHub.
- Experience with secrets management, Key Vaults, Managed Identities, RBAC, and Microsoft Entra ID.
- Understanding of secure software delivery, release controls, traceability, and audit-ready practices.
- Bachelor’s degree in Computer Science, Software Engineering, IT, Cybersecurity, Engineering, Mathematics, or equivalent experience.
Responsibilities
- Design secure Azure cloud architectures for AI applications, data-driven applications, and internal digital products.
- Define architecture patterns for AI applications that consume data from Databricks and other enterprise data platforms.
- Establish secure patterns for AI agents, sandboxed Python/code execution, runtime isolation, network segregation, and controlled access.
- Design and implement standards for secrets management, identity, access control, encryption, logging, monitoring, and secure connectivity.
- Use Terraform to define, review, and enable repeatable cloud infrastructure patterns.
- Help drive the migration from Azure DevOps to GitHub Enterprise.
- Establish new GitHub-based CI/CD patterns, including repository standards, branching, code reviews, and release evidence.
- Define technical standards for secure software delivery and audit-ready engineering practices.
- Review solution designs, identify security risks, and guide teams toward compliant, maintainable implementations.
- Mentor engineers and improve practices across cloud, security, DevOps, and AI infrastructure.
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