Technology Jobs

Manager Software Development Location: Bavaria, Germany Our client is seeking an experienced Manager of Software Development to lead one or more of their development teams, taking both disciplinary and technical responsibility for their output, growth and direction. In this role you will have a decisive influence on feature development and carry responsibility for projects, technologies and software architecture. This is a hands-on leadership position for someone who is equally comfortable shaping team culture as they are contributing to technical design decisions. Responsibilities: Lead and develop one or more software development teams through coaching, performance evaluations and transparent communication. Define, implement and continuously improve software development processes and the SDLC. Drive software projects from feature development through to maintenance, refactoring and security updates. Contribute to software architecture and design for new components and services. Coordinate roadmap planning with product management. Align and communicate with cross-functional teams including QA, TechDoc, presales and support. Plan and coordinate training measures for team members. Work closely with senior leadership on departmental strategy and delivery. Requirements: Bachelor's degree in Computer Science, Mathematics or a related field, or equivalent professional experience. 5+ years in software development with strong hands-on experience in Java/Spring Boot, Angular experience is a plus. At least 1 year of leadership or management responsibility. Experience with CI/CD systems and release management. Solid understanding of software architecture and service design. Strong communication skills and confidence working with senior stakeholders. Willingness to take ownership and actively shape a team.

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.

The Opportunity A global, market-leading organization is building out its next-generation AI capabilities and is looking for an AI Engineer with a strong focus on bringing AI into production at scale. This role sits at the intersection of software engineering, applied AI, and platform engineering. While there is exposure to model development, the core value lies in operationalising AI systems, particularly LLM- and GenAI-driven solutions, and embedding them into real business workflows used globally. You will work closely with product teams, platform engineers, and data science functions to turn prototypes and concepts into robust, secure, and scalable AI services. Key Responsibilities Design, build, and deploy production-grade AI systems, with a strong focus on LLMs and GenAI use cases (e.g. copilots, assistants, automation, content intelligence) Own the end-to-end lifecycle of AI solutions, from experimentation to deployment, monitoring, and continuous improvement Integrate AI services into existing enterprise applications and cloud platforms Build and maintain MLOps pipelines for training, deployment, versioning, monitoring, and retraining Work with Azure-based AI and data services to ensure scalable and compliant deployments Collaborate with data scientists on model handover, optimisation, and inference performance rather than pure research Ensure AI solutions meet enterprise requirements around security, reliability, explainability, and cost efficiency Contribute to internal standards, tooling, and best practices for production AI and GenAI What You Bring Strong experience as an AI Engineer, ML Engineer, or Software Engineer working with AI systems Proven track record of taking AI models into production in complex environments Hands-on experience with LLMs and GenAI frameworks (e.g. prompt engineering, orchestration, retrieval-augmented generation, agents) Solid background in MLOps (CI/CD for ML, monitoring, model lifecycle management) Practical experience with the Azure stack, such as: Azure ML Azure OpenAI Containerisation (Docker, Kubernetes) Cloud-native services and APIs Strong software engineering skills (Python required, additional languages a plus) Ability to work closely with non-technical stakeholders and translate business needs into scalable AI solutions

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

Senior Legal Counsel Location: Hamburg A role that inspires you Join an internationally operating life sciences organisation as Senior Legal Counsel, advising at the forefront of digital innovation. You will ensure compliance with global data protection and AI regulations while enabling business growth in a highly regulated and technology-driven environment. Key Responsibilities: Advise on compliance with data and AI-related regulations (e.g. GDPR, EU AI Act, HIPAA, NIS 2). Conduct risk assessments and oversee implementation of mitigation measures. Develop and maintain policies, procedures, and contract standards for data and AI governance. Embed compliance frameworks into key business areas such as IT, HR, Operations, and Procurement. Provide legal support for new business initiatives, including contract drafting and negotiation. Deliver internal training and promote awareness of data and AI legal requirements. Contribute to cross-functional compliance projects and legal tech initiatives. Your Profile: Fully qualified lawyer with several years’ experience in data protection and IT law. Background in a regulated industry, ideally life sciences, pharma, or biotech. Strong expertise in GDPR and emerging AI regulation. Additional certifications (e.g. CIPP/E) are beneficial. Analytical, pragmatic, and solution-driven working style. Excellent communication skills with fluent German and English. What’s on Offer? A forward-looking in-house role at the intersection of law and technology. International collaboration in a research-driven environment. Flexible working arrangements and attractive benefits. Long-term development within a future-oriented sector.