Senior Security Engineer (F/M/D)

vivenu

Redefine the future of live entertainment tech Welcome to vivenu, the global leader in event ticketing tech and one of the world’s fastest-growing live entertainment tech firms. We are transforming event ticketing for global leaders like the Grammys, the Golden Globes, Stanford University and the Hockenheimring turning what was once a simple transaction into a strategic business advantage. Backed by over $65 million in funding, our platform empowers event organizers to own their brand experience, unlock deep data insights, and seamlessly integrate ticketing into their digital infrastructure. With six offices worldwide and growing, we deliver a customizable, intuitive solution and industry-leading support that simplify even the most complex ticketing challenges – helping organizers deliver exceptional experiences and drive real growth. Join us and build the future of live entertainment. With over 10 million end users and usage quadrupling annually, our infrastructure now handles over 1 billion requests per month — and counting. Our API-first platform solves complex system challenges at scale — delivering performance, flexibility, and reliability for the world’s leading live entertainment brands.   This isn't just a maintenance role – it is a blank canvas to build, scale, and architect a state-of-the-art AppSec program from the ground up. We are currently operating at a fraction of our ultimate potential, which means you have an immense, blank-canvas opportunity to fundamentally shape our security culture, processes, and tooling across the entire global engineering organization. You will drive the entire AppSec lifecycle: from offensive red teaming and threat modeling to risk-based vulnerability management and pioneering a true shift-left culture. What Makes This Role Challenging and Engaging: High-Impact Technical Environment: You won't just follow blueprints; you will holistically influence a shift-left architecture across both application and platform layers. Modern Technology Stack: Dive into securing a massive TypeScript monolith alongside Go supporting services, giving you hands-on experience in modern language security and advanced GitHub CI/CD pipeline hardening. Web and API: secure the application of the vivenu platform which provides customers with an out-of-the-box ticketing software as well as the underlying API structure Complex Multi-Cloud Architecture: Challenge your skills against a sophisticated multi-tenant, multi-region environment spanning k8s, GCP (our primary compute) and and separate database services Cutting-Edge Deployment: Secure a next-gen Kubernetes "satellite architecture" utilizing hardened private compute nodes, VPC peering, and Argo CD for GitOps—a true, modern cloud-native security mandate.

Awin

About the AI Platform Team The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently. We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence. This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization. About the role We are looking for a Senior AI Platform Engineer - Security & Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin. In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process. This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche. What youʼll do * Define and improve practical guardrails and safe defaults for AI-powered systems * Help shape Awinʼs approach to privacy, PII handling, and data-safe patterns for AI workflows * Contribute to approved provider and model guidance, including practical validation and usage expectations * Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls * Help define production-ready expectations for AI systems from a safety, governance, and risk perspective * Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes * Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate * Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate * Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene * Write clear documentation, patterns, and guidance that help teams apply standards consistently * Contribute to strong engineering practices across the team through clean code, testing, and collaboration  * Mentor others and help raise the teamʼs overall maturity in AI safety, governance, and privacy-aware engineering Requirements * Strong software engineering fundamentals and experience working on production systems * Practical experience in security, governance, privacy, compliance, or risk-related engineering work * Clear hands-on experience applying those controls to AI- or LLM-powered systems * Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns * Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults * Good understanding of how to make AI systems observable, auditable, and safer to operate in production * Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal * Good practical experience with Python and/or JavaScript / TypeScript * Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration * Good understanding of information security and how to design solutions with security in mind * Comfortable applying unit testing, continuous integration, and continuous deploymentStrong communication skills, both synchronous and asynchronous * Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving * Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy Nice to have * Experience designing or implementing guardrails for AI or LLM-powered systems * Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns * Familiarity with tracing, auditability, and logging standards for AI systems * Familiarity with evaluation workflows, regression checks, and production readiness practices for AI * Experience assessing third-party AI providers or model usage from a risk or governance perspective *  Experience with privacy-by-design patterns in data-sensitive systems * Experience working in regulated or higher-risk environments * Experience writing clear developer guidance and turning repeated risk questions into reusable standards Tools and technologies you may work with: * Python * JavaScript / TypeScript * Azure / AWS * LLM APIs * CI/CD tooling * Observability and tracing tools * Policy and validation patterns * Internal platform services, standards, and governance tooling Working style We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value. A strong fit for this role is someone who: * Thinks clearly about real-world AI risk, not just theoretical concerns * Can balance safety, speed, and developer experience * Communicates clearly and helps others understand trade-offs * Prefers reusable controls and automation over manual gatekeeping * Is comfortable collaborating across engineering, security, architecture, and legal boundaries * Writes clear, actionable guidance rather than vague policy language * Is proactive about identifying risk patterns early and turning them into scalable solutions * Enjoys helping other engineers build safer systems without slowing them down unnecessarily Our Offer * Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. * Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. * Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. * Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. * Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1

IDnow

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability. The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries. This position is based in Rennes, France. Europe's leader in identity verification solutions (KYC, eSigning, IDcheck, etc.), is strengthening its RDM (Research Data Management) division. We are looking for a Senior Data Engineer passionate about data and industrialization to design and operate the tools and data storage that power our software and AI research. The data you'll manage is at the core of what IDnow does: identity documents, biometric data, and verification records, sensitive by nature, regulated by design, and technically challenging to handle at scale. You will play a key role in the design and construction of our next-generation data lake, shaping its architecture from the ground up and bringing your experience to a team that values technical leadership and ownership.   KEY RESPONSIBILITIES   * Define and own data storage and data management architecture for our software and AI/ML workflows. * Develop and maintain tools and services that AI & ML R&D teams and engineering teams rely on, including workflow orchestration platforms and test campaign infrastructure. * Manage and analyze large data volumes. * Set up and maintain backend APIs and services that provide reliable and secure internal data access. * Operate and evolve the platform infrastructure (CI/CD, containerization, deployments) with a strong focus on quality (automated testing). * Enforce data access policies and GDPR compliance rules on research datasets, ensuring proper governance, traceability, and data minimization. * Collaborate closely with internal stakeholders (ML teams, product design and development, QA, devops) in an agile environment to prioritize and deliver within a continuous improvement process. * Enforce data access policies and GDPR compliance rules on research datasets, ensuring proper governance, traceability, and data minimization.     PREFERRED EXPERIENCE   REQUIRED: * Application development in Python (tooling, services, data scripts, packaging). * API frameworks and REST APIs (FastAPI/Django REST or equivalent). * Automated testing with pytest; strong quality and coverage mindset. * SQL databases: solid knowledge of PostgreSQL and MariaDB (modeling, query writing, migrations, basic performance tuning). * Data storage: design and operation of data storage solutions, including S3-compatible object storage (Ceph/Rook). * Docker and Kubernetes: containerization best practices and cluster deployments. STRONG PLUS: * Helm and ArgoCD: we are currently migrating our full stack to a Kubernetes + Helm + ArgoCD deployment model, hands-on experience here is a significant advantage. * Identity and access management: Keycloak or equivalent SSO/IAM solutions. * Search & analytics: OpenSearch or equivalent. * CI/CD: GitLab CI, deployment automation (Ansible, ArgoCD). WORKING ENVIRONMENT * Multidisciplinary teams (AI/ML research, development, QA), agile methodology. * Internal clients with a direct impact on the speed and quality of AI research at IDnow. * Strong technical culture, with mutual support and continuous growth. * A technically rich domain where AI, security, and privacy constraints intersect. * Linux: day-to-day administration and tooling (shell, security, permissions, networking). WHAT YOU’LL BRING * The ability to translate R&D needs into robust, scalable, and well-tested data platforms and tools. * Technical leadership on data lifecycle management (ingestion, storage, access, traceability) in service of AI and testing. * The ability to drive key architectural decisions on our data lake: storage organization, access patterns, data lifecycle, and tooling choices. * An industrialization mindset (automation, reproducibility, observability) applied to ML and data workflows. SOFT SKILLS * Motivation and initiative. * Curiosity, appetite for technical challenges, and continuous learning. * Team spirit, clear communication with diverse stakeholders (engineers, researchers, QA, devops). * Rigor, service orientation, and product mindset. * English required (international environment).     PERKS & BENEFITS * Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions. * We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification. * We make your remote work comfy: we provide support on equipment and offer flexible working hours. * We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work. * May your family require your attention or other reasons apply: use the benefit of our paid special leave days. * Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities. * In addition to the perks & benefits above, we offer specific benefits that differ between our locations.   IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.