Overview
DNEG is seeking a security professional to assess applications, cloud services, AI use
cases, and third-party tools before and during their use across the company. The role
combines practical security architecture reviews with hands-on evaluation of security
solutions. The successful candidate will document risks, recommend workable controls,
and support informed approval decisions.
Mandatory Requirements and Expectations
- Own defined security reviews independently and escalate material risks or
complex decisions to senior security stakeholders.
- Provide clear, evidence-based recommendations that account for security risk,
business use, and implementation effort.
- Work closely with engineering, cloud, product, and other internal teams to
understand designs and agree on practical actions.
- Maintain accurate review records, decisions, conditions, and follow-up actions for
the security approval process.
- Communicate findings constructively to both technical and non-technical
stakeholders.
Duties and Operational Responsibilities
- Review application and API designs for authentication, authorization, data
protection, secure integration, and common attack paths.
- Perform threat modelling for new systems and significant changes, and
recommend controls that can be implemented and verified.
- Assess cloud architectures and configurations, including identity, network
exposure, secrets, encryption, logging, and workload security.
- Review proposed AI applications and services for data exposure, access control,
unsafe outputs, prompt injection, and third-party dependencies.
- Evaluate third-party tools before company use by reviewing their security
posture, data flows, permissions, integrations, and relevant assurance evidence.
- Plan and run proof of concepts for application, cloud, and AI security tools using
agreed evaluation criteria; document effectiveness, integration needs, and
limitations.
- Prepare concise risk assessments and recommendations, including proposed
conditions or remediation needed before approval.
- Track findings with system and service owners, validate remediation evidence,
and identify unresolved risks for escalation.
- Contribute to security standards, review checklists, and reusable design
guidance to improve consistency across assessments.
Mandatory Job Requirements
A successful candidate should demonstrate the following experience and capabilities:
- Approximately five years of relevant experience in application security, cloud
security, security engineering, or security architecture.
- Experience reviewing application designs and applying secure development
practices, threat modelling, and risk-based remediation.
- Working knowledge of application and API security testing, including code,
dependency, and dynamic testing approaches.
- Hands-on understanding of security controls in at least one major cloud platform,
particularly identity, networking, data protection, and monitoring.
- Ability to evaluate unfamiliar technologies through proof of concepts, define
success criteria, and present a balanced recommendation.
- Experience assessing third-party products or services, including how they
access, process, store, and share company or client data.
- Working knowledge of security risks in AI-enabled applications and the controls
used to address them.
- Strong written communication and the ability to work with engineers and
stakeholders to resolve identified risks.
Desirable Experience
- Direct experience assessing generative AI applications, including retrieval-based
systems or applications that use external tools.
- Experience with security assurance reports, vendor questionnaires, and
recognized security frameworks such as ISO 27001, NIST, CIS, or OWASP
guidance.
- Experience evaluating or operating application security, cloud security, or AI
security tooling.
Education
- A bachelor's degree in computer science, information technology, cybersecurity,
or equivalent practical experience is desirable.
- Relevant security or cloud certifications are desirable but are not a substitute for
demonstrated practical experience.
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