Search Jobs

Search by job, company or skills

Senior Privacy & Data Security Engineer, AI Cloud Infrastructure

Senior Privacy & Data Security Engineer, AI Cloud Infrastructure

Kerry Consulting
5-8 Years
Early Applicant
  • Posted 9 hours ago
  • Be among the first 10 applicants

Job Description

A fast-growing organisation in the AI Cloud Infrastructure space is looking for a Senior Security Engineer specialising in Privacy & Data Security to strengthen its global security and privacy capabilities. This role will support the delivery of cloud infrastructure across international markets, with a strong focus on data protection, privacy compliance, and the technical safeguards required for enterprise customers and regulatory obligations.

Role

You will work at the intersection of cybersecurity, privacy engineering, cloud infrastructure, and compliance. The role involves designing practical security controls for data throughout its lifecycle, including encryption, key management, data discovery, access controls, data protection, retention and deletion, and cross-border data transfers. You will also partner with Legal, Risk & Compliance, DPO, infrastructure security teams, auditors, and customers to translate regulatory requirements into implementable controls, maintain technical and organisational measures, and provide clear evidence for audits and customer due diligence.

Requirements

  • 5-8 years of hands-on experience in security, data security, or a related engineering function, with practical expertise in encryption, KMS/HSM, and cloud security.
  • Strong understanding of privacy engineering concepts, including data-flow mapping, personal-data discovery, DSAR implementation, data minimisation, de-identification, and Privacy by Design.
  • Ability to interpret GDPR requirements and translate them into technical controls, TOMs, and security measures, with familiarity in SCC Annex II and DPA security documentation.
  • Solid understanding of cloud and Kubernetes environments, including multi-tenant isolation, data flows, and integration with security tooling; with demonstrated ownership of at least one end-to-end privacy or GDPR/DPA compliance implementation.
  • Excellent written and verbal communication skills, with the ability to work effectively across engineering, legal, compliance, audit, and customer-facing stakeholders; experience with SOC 2, ISO 27001/27701, compliance automation, or relevant privacy/security certifications would be advantageous.

To Apply

Interested candidates, please submit your resume to Grace Lim at [Confidential Information]. We regret to inform that only successful shortlisted candidates will be notified. License No: 16S8060 Registration no: R1988923

More Info

Job Type:
Industry:
Employment Type:

Key Skills

security measures

multi-tenant isolation

TOMs

Privacy by Design

SOC 2

de-identification

data minimisation

security tooling

DPA security documentation

SCC Annex II

DSAR implementation

personal-data discovery

data-flow mapping

About Company

Similar Jobs

8-12 yrs
Singapore
Skills:
Terraform, Kubernetes, CrewAI, multi-agent systems, Semantic Kernel, LangGraph, AutoGen, RAG, CI/CD, MCP, cloud-native architectures, AI security, observability
3-6 yrs
SGD 3,000 - 5,000 per month
Singapore, Ubi
Skills:
OpenStack, Workstations, Kubernetes, Storage Backup Solutions, supercomputing, Enterprise Servers, Disaster Recovery, HPC Clusters, GPU Computing, Private Cloud Virtualization, AI Infrastructure, Business Continuity Solutions
5-8 yrs
Singapore
Skills:
data engineering , data streaming , production readiness , AWS, Aws Cloud, Amazon Web Services, Cloud Infrastructure, Cloud Architecture, AWS Infrastructure, ECS, Iam, AWS IAM, Aws Lambda, Amazon Vpc, Cloud Security, Terraform, AWS CloudFormation, Devops, DevSecOps, Jenkins, Pdlc, Cloud Automation, Smoke Testing, Unit Testing, Regression Testing, Enterprise Architecture, Kubernetes, MLops, Kafka, Amazon Kinesis, Software Agents, Cloud Engineering, Platform Engineering, Senior Platform Engineer, EKS, VPC Networking, Infrastructure as Code, IaC, Cloud-Native Architecture, platform architecture, CI/CD, CI/CD Pipelines, GitOps, GitHub Actions, GitLab CI, Developer Experience, DevEx, Product Development Life Cycle, Environment Provisioning, Infrastructure Automation, Structural Testing, Systems Validation, Platform Validation, Enterprise Cloud, Secure Cloud Infrastructure, Resilient Infrastructure, Scalable Infrastructure, Container Orchestration, Machine Learning Operations, Data Pipelines, Llm, Large Language Models, Generative AI, Agentic AI, AI Platform, AI Infrastructure, AI Agents, Enterprise AI, Platform Deployment, Cloud Governance, Security Guardrails, CI/CD Automation, AWS Solutions Architecture