AWSAzureCloudDockerGoogle Cloud PlatformKubernetesOracleAIMLGenerative AILLMAmazon Web ServicesGoogle CloudIAMCommunicationCollaborationOWASPNetwork SecurityCloud SecurityZero Trust
About this role
Role Overview
Drive vulnerability management, threat detection, AI security best practices, and security architecture initiatives.
Collaborate closely with engineering and internal stakeholders to embed security throughout the organization.
Perform vulnerability scanning, assessment, and remediation tracking across applications, networks, and cloud infrastructure.
Investigate potential security risks in third-party tools and formulate best-practice documentation and guidance to reduce organizational risk.
Design, review, and enforce security controls across cloud environments and container orchestration platforms.
Provide security architecture guidance on new initiatives, ensuring compliance with internal standards and industry frameworks.
Implement, configure, and maintain security tools including SIEM, EDR, CSPM, and vulnerability management platforms.
Monitor security events and alerts; lead investigation, triage, and response for incidents.
Assess and mitigate security risks associated with AI/ML systems.
Develop, document, and enforce security policies, procedures, and best practices aligned with business and compliance requirements.
Requirements
5+ years of experience in security engineering, with demonstrated expertise in cloud security, threat modeling, and security engineering.
Hands-on experience securing cloud environments across Microsoft Azure, Google Cloud Platform, and/or Amazon Web Services. Experience with Oracle and IBM Clouds is a plus.
Practical experience with container and orchestration security (Kubernetes, Docker).
2+ years of experience using multiple generative AI technologies.
Experience with scripting languages and knowledgeable of development practices.
Demonstrated ability to support vulnerability management programs and drive remediation with cross-functional teams.
Strong command of security principles, protocols, and technologies including IAM, network security, encryption, and zero trust architecture.
Experience with security tooling such as SIEM platforms, EDR solutions, CSPM, EASM, and commercial vulnerability scanners.
Familiarity with security frameworks and standards such as: NIST CSF, CIS Benchmarks, SOC 2, ISO 27001, ISO 42001, ISO, 27701, NIS2, and EU Cyber Essentials+.
Working knowledge of AI/ML security risks and familiarity with frameworks such as OWASP LLM Top 10, MITRE ATLAS, or NIST AI RMF.
Highly motivated self-starter who can operate with limited supervision in a fast-paced environment.
Excellent written and verbal communication skills, with the ability to convey technical risk clearly to both technical and non-technical audiences.
Certifications (Preferred) CISSP, CCSP, SSCP, AWS Security Specialty, Azure Security Engineer Associate, Microsoft Security Operations Analyst, CEH, GCSA, CKS, or equivalent cloud/security certifications are a plus.
Certifications or training in AI security (e.g., GAISC, vendor-specific AI security courses) or demonstrated applied experience securing AI systems is a plus.
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
Oracle
Benefits
All employees are expected to demonstrate AI fluency appropriate to their role and level, including responsible use of AI tools, sound judgment, and adherence to company AI governance and security policy standards.
Team members are valued for their contributions, introduced to new opportunities, and rewarded well.
Supports collaboration and encourages wellness.
Opportunities to work with talented and dedicated people across the globe.