Principal Cloud Security Engineer

Overview

Final date to receive applications: 07/30/2026

We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services across AWS, Azure, and AI/ML platforms. We need someone who can establish the highest standards that meet and exceed security governance solutions and practices, provide assurance to management and auditors, and ensure sustained protection by embedding controls in operational and Dev Ops (CI/CD) practices with a focus on automation.

We are looking for someone who has a high level of technical security expertise and who takes seriously the responsibility of monitoring, detecting, protecting, and maintaining the security of data, AI/ML systems, cloud platforms, and networks. You are a leader with a solid technical background.

Responsibilities

• Developing and implementing secure cloud and AI/ML architectures using a risk-based cybersecurity and data privacy strategy
• Defining security patterns, roadmaps, and operating models that leverage collaboration
• Facilitating industry-standard information security governance
• Advising senior leadership on cybersecurity, AI risk, and privacy risks, threats, and investment strategies
• Documenting appropriate policies and procedures to manage information security risks, including those unique to AI/ML systems and sensitive data assets
• Cloud Security:
  Assess, design, implement, automate, and document security solutions, controls, and processes for AWS and Microsoft Azure
• Develop and maintain security patterns for cloud platforms and services; assess all cloud patterns to ensure adherence to best security practices and controls
• Design and implement security baseline controls for Cloud Services for integration into the CI/CD process
• Build and deliver policies as code, automating security controls and best practices
• Review and approve code and changes with security implications (e.g., IAM Roles and Policies, Security Groups)
• Be the cloud security subject matter expert for the Cloud Engineering group and its partners in IaaS, PaaS, and SaaS implementations
• AI & Machine Learning Security:
  Define and implement a security framework for AI/ML systems, covering the full model lifecycle from data ingestion and training to deployment and monitoring
• Assess and mitigate AI-specific threats including adversarial attacks, model inversion, data poisoning, prompt injection, and model theft
• Evaluate and secure AI/ML platforms and tools (e.g., Sage Maker, Azure ML, Hugging Face, OpenAI APIs) against organizational risk standards
• Collaborate with data science and AI engineering teams to integrate security controls into MLOps pipelines, ensuring model integrity, access controls, and auditability
• Monitor emerging AI threat landscapes and regulatory developments (e.g., EU AI Act, NIST AI RMF) and translate these into actionable organizational controls
• Data Security:
  Implement and manage data security posture management (DSPM) tools to continuously monitor sensitive data exposure across cloud environments
• Establish controls for structured and unstructured data stores, including databases, data lakes, data warehouses (e.g., Snowflake, AWS S3, Azure Data Lake), and file sharing platforms
• Drive the adoption of data-centric security practices within application development and analytics teams
• General Security Leadership:
  Provide subject matter expertise on architecture, authentication, and systems security; lead cybersecurity risk assessments of new and existing technologies (including AI/ML systems and data platforms)
• Provide effective and pragmatic cybersecurity guidance upfront in major technology projects to enable secure innovation
• Assist in the investigation and remediation of security incidents and issues, including those involving AI model compromise or data breaches
• Work with Information Security, product, and software development teams to assess cybersecurity risk and recommend solutions in cloud, AI, and data environments
• Your Mindset: self-starter, driven, able to handle multiple projects and priorities; passionate about Dev Sec Ops  and MLSecOps; understand the intersection of security, AI, and data; inject new knowledge into a high-performing team
• Lead in workshops on topics including cloud compliance, AI risk, and related security concerns

Required Core Skills

• Foundational: A university degree in Engineering, Computer Science, Information Technology, or a related field
• 7-10 years of experience developing and implementing security architectures and/or engineering with breadth across cloud, data, and/or AI security domains
• Security certifications such as CISSP, CCSP, CCSK, or any Cloud Security Specialty certification (e.g., AWS Certified Security Specialty, Microsoft Certified: Azure Security Engineer Associate)
• Emerging/preferred:
  Certifications or demonstrated knowledge in AI security or data security certifications (e.g., CDAI, CompTIA AI+, CDPSE, CIPP)
• Cloud Security:
  Knowledge…