MARA is redefining the future of sovereign, energy-aware AI infrastructure by building a modular platform that unifies IaaS, PaaS, and SaaS for governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds.
Requirements
- 8+ years of experience in application security or secure software architecture, including leadership or mentoring roles.
- Expertise in threat modeling, secure SDLC, and security automation across cloud-native and AI-driven environments.
- Proven success building or scaling product security programs.
- Familiarity with emerging AI threats such as prompt injection, model exfiltration, LLM misalignment, etc.
- Experience with security tooling (42Crunch, BlackDuck, Fortify, SonarQube, Wiz, Prisma Cloud, BurSuite, Sysdig, NowSecure, or similar) and modern CI/CD integration.
- Background in HPC, ML infrastructure, or sovereign/regulated environments.
- Familiarity with energy-aware computing, modular data centers, or ESG-driven infrastructure design.
Responsibilities
- Lead development and implementation of AI Product Security program ensuring alignment with regulatory, privacy, and Responsible AI standards.
- Build and maintain security process (threat modeling, code review, pen-testing, continuous security validation) for both traditional and AI-enabled applications.
- Define and maintain framework of AI security controls, including reference threat models for LLM-based systems, prompt-injection mitigation, model supply-chain security, and data-handling controls.
- Collaborate with engineering and ML teams to design secure architectures for AI pipelines, agentic systems, and inference workflows.
- Develop and deploy AI-aware security automation tools (scanning, vulnerability prioritization, remediation)
- Drive security education and awareness, conducting workshops and learning programs for engineers, product managers, and executives.
- Partner with clients and internal stakeholders to perform deep-dive assessments, translate findings into actionable roadmaps, and influence product security transformations.
Other
- Experience collaborating with European and global engineering partners.
- Strong communicator who can bridge engineering, business, and vendor ecosystems seamlessly.
- Strong understanding of API security within enterprise ecosystems, including understanding of OAuth, OIDC, and SAML
- Practical experience in AI/ML pipelines and security for LLM applications
- Excellent communication and leadership skills; demonstrated ability to influence engineering and executive stakeholders.
