Define and govern the end-to-end enterprise architecture for the cards domain, balancing IT efficiency with business objectives. The role involves leading TOGAF-based architecture plans and compliance reviews, modernizing card issuance, payment processing, fraud detection and transaction-management systems, and ensuring secure, scalable solutions aligned with EMV, PCI-DSS, GDPR, digital-wallet and cloud requirements.
Own the technical architecture and operational excellence of complex FanDuel systems while working with Java, web, Android and iOS development teams. The architect contributes to the organization’s long-term technology strategy, leads system-design decisions, remains hands-on with engineering and mentors other developers, with a focus on scalable, fault-tolerant and highly available platforms.
Advise automotive clients on business operations and IT transformation, helping them improve efficiency, productivity and profitability. The position combines business consulting and project-management experience with knowledge of SCRUM, Agile, DevOps and software-development processes, technical familiarity with data and AI technologies, strong documentation skills and German at C1 level.
Define enterprise AI and machine-learning architectures covering data pipelines, training frameworks, feature stores and inference platforms. The role translates business requirements into scalable and secure AI strategies, leads proof-of-concept initiatives, establishes standards for monitoring, reproducibility, explainability and responsible AI, and collaborates with engineering, data, legal and leadership teams.
Design secure and scalable identity and access management solutions across cloud, hybrid and on-premises environments, covering identity governance, privileged access and access management. The role establishes IAM architecture standards, implements OAuth, OIDC, SAML and FIDO2 patterns, advances MFA, SSO and passwordless authentication, and ensures alignment with GDPR, SOX, PCI-DSS, NIST and ISO 27001 requirements.
Build and optimize production-ready generative AI applications, with a strong focus on model evaluation, retrieval-augmented generation, prompt engineering and data quality. The role includes developing Python-based agents and automation workflows, experimenting with LLMs, integrating model APIs and vector databases, and scaling AI use cases together with platform and business teams.
Develop Java-based automation for identity and access management processes such as Joiner–Mover–Leaver workflows, application integrations and periodic access reviews. The role supports and extends the IAM infrastructure, maintains Java applications running on Tomcat, contributes to monitoring and technical design, and owns solutions from requirements gathering through implementation and testing.
Design, develop and optimize enterprise applications using Java, Spring Boot and Angular, including REST and SOAP integrations, Oracle databases and secure authentication mechanisms. The role covers the full software delivery lifecycle, application security, performance optimization, automated testing with JUnit and collaboration with architects, business analysts and development teams.
Design, build and scale the infrastructure and internal tooling used by FanDuel engineering teams. The role delivers secure self-service platform capabilities, deployment workflows, observability and infrastructure automation, while improving reliability across a stack that includes AWS, Kubernetes, Terraform, Helm, Ansible, Vault, Datadog, TypeScript, React and Python.
de Alex Ilovan
de Vlad Petrean
