Security Engineer (IAM & Data Governance)

TL;DR

Security Engineer (IAM & Data Governance): Designing and implementing the identity perimeter and SaaS security ecosystem with an accent on Okta architecture, automated lifecycle management, and data governance. Focus on enforcing least privilege models, mitigating data exposure across SaaS platforms, and integrating IAM logs into SIEM for threat detection.

Location: Remote (Argentina, Brazil, Colombia, Georgia, Poland, Ukraine)

Company

hirify.global is an AI-native consulting and technology services firm specializing in enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Design and manage Okta architecture, including custom authorization servers, adaptive MFA, and conditional access policies.
• Automate joiner-mover-leaver (JML) workflows using Okta Workflows, SCIM, or custom API scripts.
• Implement and standardize secure SSO integrations utilizing SAML 2.0, OIDC, and OAuth 2.0.
• Enforce RBAC and ABAC models across enterprise SaaS platforms to ensure the principle of least privilege.
• Monitor and remediate unauthorized data sharing and "shadow IT" API integrations.
• Lead quarterly user access reviews and provide evidence for SOC 2 Type II, ISO 27001, and GDPR compliance.

Requirements

• 3–5 years of experience in Security Engineering, IAM, or Systems Engineering with a heavy security focus.
• Strong engineering-level knowledge of Okta (Okta Certified Administrator or Consultant preferred).
• Proven track record of implementing zero-trust access models and data loss prevention (DLP).
• Deep understanding of networking and identity protocols: TCP/IP, HTTP, SAML, OAuth, OIDC, and SCIM.
• Proficiency in Python, PowerShell, or Bash for REST API interaction and custom automation.
• Experience querying logs via Splunk, ELK, SQL, or cloud-native SIEMs to investigate security incidents.

Culture & Benefits

• Engagement in real-world AI-driven projects across various industries.
• Collaboration within a global team across different continents and cultures.
• Inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.