Cybersecurity and Data privacy Engineer - RegTech

As a Cybersecurity and Data Privacy Engineer, you will help design and validate security and privacy controls for a cloud-native enterprise platform used in regulated business workflows. You will work with architects, DevOps, engineering, product and QA teams to build security, access control, privacy and client-trust requirements into the platform from the start. Technical Requirements: • Minimum 7 years of experience in cybersecurity, application security, cloud security, data privacy, security engineering or risk/control roles. • Strong understanding of IAM, RBAC, encryption, secrets management, API security, secure SDLC, vulnerability management and cloud security controls. • Experience with Azure or other cloud security services, including identity, Key Vault, logging, monitoring, private networking and security posture management. • Understanding of privacy principles including PII handling, minimization, retention, masking, access control and data transfer controls. • Experience conducting or supporting security reviews, threat modeling, penetration test remediation, vulnerability triage and control validation. • Ability to work with engineering teams to convert security requirements into practical implementation guidance. • Strong documentation skills for security controls, risks, remediation plans and audit/client-review evidence. Responsibilities: • Define and review security requirements across authentication, authorization, RBAC, tenant isolation, encryption, secrets management, API security and secure deployment. • Design and validate data privacy controls for sensitive data, PII handling, retention, masking, deletion, access logging and secure data movement. • Support threat modeling, secure architecture review, security test planning, vulnerability management and remediation tracking. • Work with DevOps teams to implement security controls around cloud configuration, Key Vault, managed identities, private networking, security monitoring and policy guardrails. • Review application security patterns including input validation, access control, session handling, secure logging, audit events and data leakage prevention. • Support readiness for external certifications and client security reviews such as SOC 2, ISO 27001, ISO 27701, ISO 42001, SOC 1 and CSA STAR where applicable. • Contribute to security documentation, control mappings, privacy impact inputs, security questionnaires and audit evidence. • Partner with AI engineers to design AI usage controls, prompt/data privacy rules, AI output logging and responsible AI guardrails. Preferred Skills: Foundational->Cybersecurity Competency Development->Cyber Workforce Skill Development & Position Qualification Standards,Foundational ->Data privacy->Privacy by design,Technology->Application Security->Application Security - ALL,Technology->Infrastructure Security->Cloud Security