The company is a global digital solutions and transformation business, and the team is a group of innovators who co-create solutions for complex challenges and help organizations become data-driven.
This role sits in Cloud and Data Engineering, on a security team of experts and Forward Deployed Security Engineers who help enterprise customers secure cloud, application, DevSecOps and AI environments.
The company is committed to an inclusive culture based on mutual respect and merit-based systems, and it values diverse perspectives that drive innovation and growth.
You do not need to match every requirement to apply. Life experience, character, perspective and passion for great work also matter.
Responsibilities
Lead customer security engagements and provide technical leadership across cloud security, DevSecOps, application security and AI security.
Turn complex security problems into scalable architectures, implementation roadmaps and production-ready controls.
Manage engineering teams and oversee delivery from discovery and design through implementation, validation and operational handover.
Run threat modeling, architecture reviews and security assessments across cloud platforms, applications, APIs and AI systems.
Define and build DevSecOps strategy, security automation, CI/CD controls, software supply chain protections and remediation workflows.
Guide the design and security of AI solutions, including LLMs, RAG architectures, vector databases, AI agents and MLOps platforms.
Manage project risks, dependencies, escalations and stakeholder communication while balancing security, performance, timelines and customer needs.
Work closely with customers, architects and engineering leaders to design security solutions for complex business and technical problems.
Help build reusable security frameworks, reference architectures and best practices that deliver measurable security results.
Requirements
7+ years of cybersecurity experience, including leading engineering teams and delivering large-scale security programs.
Strong experience mentoring engineers, reviewing their technical work and running several security workstreams at once.
Deep knowledge of cloud security, including identity management, workload protection, container security, Infrastructure as Code (IaC) and enterprise security architecture.
Proven experience with DevSecOps practices, CI/CD security controls, automated testing, software supply chain security and remediation workflows.
Strong background in application security, including threat modeling, architecture reviews, security assessments and API security.
Hands-on experience with AI security, including LLMs, RAG, vector databases, AI agents, MLOps, model deployment and model lifecycle management.
Understanding of AI-specific threats and controls, such as prompt injection, data leakage, insecure retrieval, excessive permissions, unsafe tool execution, monitoring and security testing.
Strong customer-facing communication skills, with experience presenting to executives, architects, security leaders and engineering teams.
Bachelor's degree or equivalent practical experience. Advanced cloud or security certifications (CISSP, CCSP, AWS Security Specialty, Azure Security Engineer, GCP Security Engineer) are preferred.
Conditions
Flexible working arrangements are offered, depending on role and location.
The company is an equal opportunity employer and welcomes applicants regardless of protected characteristics. Reasonable accommodations are available during recruitment on request.
Benefits
Industry-leading benefits, support and services for holistic health and wellbeing.
A culture that values life balance, autonomy, freedom, ownership and knowledge sharing with talented colleagues.