Technology Jobs

  Senior IAM Architect Our client is a large international organisation seeking an Enterprise Security Architect to join their Group Information Security function, with a focus on Identity and Access Management. You will sit within the Security Architecture department, responsible for the domain-specific development and ongoing enhancement of a group-wide security architecture, with the goal of ensuring and continuously improving IT security and cyber resilience across the organisation. Key Responsibilities: Analyse cybersecurity IAM trends relevant to the organisation, including regulatory developments and emerging technologies such as AI, Cloud and Non-Human Identities Produce IAM-specific risk assessments as part of technical security architecture design, covering cost, benefit and risk reduction Evaluate IAM threat scenarios and design high-level IAM security architectures, including standards, baselines and reusable artefacts such as patterns and blueprints Drive stakeholder alignment and steer solution design and implementation as subject matter expert, including presenting in group-wide security forums Assess IT security posture against best practices and provide actionable recommendations aligned to ISO and NIST frameworks Your Profile: Degree in Computer Science or a comparable qualification Extensive experience in the Identity and Access Management domain, ideally including proven delivery of IAM architecture within large organisations Strong background in security architecture roles, covering both technology-specific and enterprise-level architecture including target state definition and roadmaps Hands-on experience with IAM platforms and tooling, ideally including: IAM: Microsoft Entra ID / Active Directory, Ping Identity, Okta PAM: CyberArk / BeyondTrust IGA: SailPoint / Oracle OIG Zero Trust: NIST 800-207 Understanding of attacker mindset and offensive security; certifications such as OSCP, CEH or equivalent are advantageous Ability to work independently and take ownership of complex technical topics Strong problem-solving mindset with a structured, solution-oriented approach Fluent in English; German language skills are an advantage

Penetration Tester Location: Frankfurt Our client is a large international organisation seeking a Penetration Tester to join their information security team. You will join the information security team, helping to ensure products and projects are delivered securely. Key Responsibilities: Plan, execute and track penetration tests, evaluating findings and proposing mitigation actions. Produce clear test reports and maintain statistics for reporting and tracking purposes. Provide technical support to security functions including SOC, risk management and architecture. Coordinate activities such as bug bounties, SAST, DAST, audits and vulnerability scanning. Contribute to secure coding training and awareness initiatives. Serve as the internal point of contact for all penetration testing queries and follow up on findings. Your Profile: Degree in Computer Science, Business Informatics or equivalent IT experience. At least 3 years of hands-on penetration testing experience. Solid understanding of the cyber threat and vulnerability landscape. Certifications such as CompTIA PenTest+, CEH, GPEN or OSCP are advantageous. Self-driven and results-oriented, with the ability to work independently. Advanced English proficiency; additional languages are a plus.

Director of Software Location: Berlin, Munich, Heidelberg (Hybrid) Our client is seeking an experienced engineering leader to head a large-scale software organisation spanning SaaS solutions and core platform frameworks. This is a senior leadership role with significant strategic influence, driving cloud product development and organisational excellence across a distributed, cross-functional engineering function. Key Responsibilities: Own and lead a large engineering organisation, setting the direction for SaaS product development and shared platform capabilities across multiple product lines. Co-define and execute the strategic technology roadmap in close partnership with executive leadership. Ensure regulatory and compliance requirements are embedded rigorously throughout the product development lifecycle. Lead and develop senior engineering leaders, driving continuous improvement in scalability, quality, and innovation. Represent the engineering function at executive and stakeholder level, building strong relationships internally and externally. Requirements: Proven leadership experience at Director, VP, or CTO level within SaaS product development, with accountability for large, distributed organisations. Degree-level education in Computer Science, Engineering, or a related technical discipline. Deep expertise in cloud architecture and SaaS platforms; familiarity with regulated software environments is a strong advantage. Excellent English communication skills; German language skills are a plus. Strategic thinker with strong execution capability and a track record of leading complex organisations through transformation. What's on Offer? Flexible working. Vibrant office locations with regular company events. Access to an in-house academy and external learning partners. Corporate perks, job bike scheme, company pension, and more.

Cloud Security Expert  Location: Frankfurt A role that inspires you Join a forward-looking organisation as Cloud Security Expert within the Second Line of Defence. In this independent oversight function, you will assess, challenge, and strengthen cloud security frameworks, ensuring that cloud environments are resilient, compliant, and aligned with enterprise-wide risk governance standards. Key Responsibilities: Act as a Second Line of Defence function providing independent oversight of cloud security risks. Define and maintain cloud security policies, standards, and control frameworks. Conduct independent risk assessments of cloud architectures, configurations, and deployments (e.g. AWS, Azure, GCP). Review and challenge First Line cloud implementations and security controls. Assess risks related to identity and access management, data protection, encryption, and network security in cloud environments. Ensure alignment with regulatory and cybersecurity requirements. Establish monitoring, reporting, and escalation mechanisms for cloud-related risks. Support incident oversight and review root-cause analyses from a governance perspective. Provide expert guidance and training on secure cloud adoption practices. Your Profile: Degree in computer science, cyber security, or a related technical discipline. Several years of experience in cloud security, cyber risk, or security governance. Strong knowledge of major cloud platforms (AWS, Azure, or GCP) and cloud security principles. Experience with security frameworks and control standards (e.g. ISO 27001, NIST, CIS). Familiarity with regulatory requirements in regulated environments is advantageous. Analytical mindset with the ability to independently assess and challenge technical implementations. Strong communication and stakeholder management skills. Fluent English skills; German is an advantage. What’s on Offer? A high-impact Second Line role with organisation-wide visibility. Opportunity to shape cloud security governance and risk oversight. Collaboration with technical and risk teams in a modern cloud-driven environment. Long-term development within a strategically important security function.

AI Security Expert Location: Frankfurt A role that inspires you Join a forward-thinking organisation as AI Security Expert within the Second Line of Defence. In this independent oversight role, you will define and challenge the security standards for artificial intelligence solutions, ensuring robust risk governance and regulatory compliance while enabling responsible AI innovation across the organisation. Key Responsibilities: Act as a Second Line of Defence function providing independent oversight of AI security risks. Define and maintain security standards and control frameworks for AI and machine learning systems. Conduct independent risk assessments covering AI models, data pipelines, and algorithmic integrity. Review and challenge First Line implementations regarding AI-related security controls. Assess risks such as model manipulation, data poisoning, adversarial attacks, and misuse scenarios. Ensure alignment with regulatory requirements (e.g. AI Act, GDPR, cybersecurity frameworks). Establish monitoring and reporting mechanisms for AI-related security risks. Provide expert guidance and training on secure and compliant AI development practices. Your Profile: Degree in computer science, cyber security, AI, or a related technical discipline. Several years of experience in cyber security, risk management, or governance, with exposure to AI environments. Strong understanding of AI security risks and regulatory developments. Experience in control frameworks, risk methodologies, or oversight functions is an advantage. Analytical mindset with the ability to assess and challenge complex technical implementations. Strong stakeholder management and communication skills. Fluent English skills; German is an advantage. What’s on Offer? A high-impact Second Line role at the intersection of AI, security, and risk governance. Opportunity to shape AI security standards at organisational level. Collaboration with technical and risk experts in an innovation-driven environment. Long-term development in a rapidly evolving technology domain.

AI Engineering Manager Job description Build, lead, and develop a high-performing engineering team delivering AI services (e.g., AI Assistant backend), including hiring, mentoring, and performance management. Own the end-to-end, full stack technical architecture and platform governance for shared components across brands, ensuring scalability, reliability, and interoperability. Partner with product and engineering leaders to help prioritize cross-brand AI use cases, maintain a shared backlog, and align delivery timelines and dependencies. Deliver platform capabilities such as agent runtime and store, fine-tuning and evaluation pipelines, SDKs/APIs, and semantic translation adapters for cross-brand workflows. Establish and enforce engineering best practices for AI services, including code quality, documentation, automated testing, observability, CI/CD, versioning, and release management. Ensure security, privacy, and compliance across services, including model transparency and monitoring, data protection, and incident response processes. Define and track platform KPIs (availability, latency, cost, quality metrics), implement performance and quality evaluation, and ensure continuous platform upkeep. Operate a cross-brand contribution model: review, generalize, and merge brand contributions into the common core through rigorous technical reviews and quality gates. Align technical decisions with business outcomes; communicate impact, capacity needs, and investment trade-offs; support budgeting and resource allocation for shared services. Key accountabilities Impact on Business: Predominantly works tactically – executes strategic initiatives Innovation and Change: Predominantly develops new processes or solutions Accountabilities include: create new shared AI services and reference patterns; introduce automated evaluation and safety practices; standardize a cross-brand contribution model Communication scope: Predominantly communicates with others within the organization (option a); main communication partners: brand product leaders (planning/roadmaps), brand engineering managers (architecture/integration), executive leadership (status/KPI/investments) Decision-making power: Predominantly makes decisions; decisions include: approve platform architectures/standards, gate deployment readiness, accept/reject brand contributions based on quality gates. Qualifications Educational Background: Bachelor’s or Master’s in Computer Science/Software Engineering or related; equivalent practical experience in large-scale platform engineering; relevant certifications (cloud architect, security, MLOps) are a plus Professional Knowledge and Experiences: 8+ years engineering with 3+ years leading platform/shared services; proven delivery of AI/ML platforms in production; cloud/Kubernetes/service mesh/observability; AI platform components (orchestration, vector stores, RAG, fine-tuning, eval harnesses); strong architecture across backend/data/APIs; security/privacy/incident response; SLO-driven operations/on-call/postmortems; cross-brand platform and contribution model management Other Skills and Competencies: Leadership and coaching; systems architecture and governance; product-minded delivery; SRE, observability with SLOs/SLIs, and cost/performance stewardship; security/privacy and model governance; stakeholder communication and clear documentation; cross-brand collaboration; languages: fluent English, German is a plus