Event Streaming Experts in Germany

Development and evolutionary further development of a highly available, cloud-native microservice and integration architecture for dealer and retail processes in the Porsche Car Configurator.

Responsibilities

• Development of Java-/Kotlin-based backend, API, and integration components (Spring Boot)
• Integration of internal and external systems via REST/OpenAPI, GraphQL, Apache Kafka, and AWS SQS (synchronous and asynchronous)
• Implementation of stable, high-performance communication and data flows in a cloud-native platform architecture
• Processing of structured data formats (JSON, Protobuf, GraphQL schemas) based on existing API patterns
• Performance optimization of distributed microservices with reduced response times and higher operational stability
• Technical tests (unit, integration, and API tests) as well as error analysis in production-like environments
• AWS Infrastructure as Code with Terraform and AWS CDK
• CI/CD automation (build, test, and deployment pipelines) with GitHub Actions
• AI-supported feature implementation (GitHub Copilot Agent)

Label: Kotlin, Java 25, Spring Boot 4, Protobuf, TypeScript, AWS, Terraform, CDK, Apache Kafka, AWS SQS, REST/OpenAPI, GraphQL, JSON, PostgreSQL, Docker, GitHub Actions, Maven, Gradle, JUnit, Mockito, Testcontainers

Development and further development of an internal platform for managing and providing technical resources, virtual machines, and infrastructure services. The platform supports self-service processes and covers functions that are conceptually comparable to cloud management solutions like Azure or AWS.

• Responsible involvement in the design, development, and implementation of new backend and frontend features
• Hands-on development with Java, Spring Boot, Python, and Angular
• Implementation of REST interfaces, business logic, validations, and integrations into existing system landscapes
• Further development of modern web interfaces with Angular, including connection to backend services
• Participation in architecture and design decisions within the team, especially with regard to scalability, maintainability, and clean interfaces
• Containerization and deployment of applications with Docker, Kubernetes, and Helm
• Support with CI/CD processes and deployment to Kubernetes-based environments
• Work in the environment of vSphere, Broadcom, GitLab CI/CD, ArgoCD, Maven, npm, and NuGet
• Close collaboration with developers, business teams, DevOps, and other technical stakeholders
• Analysis of technical requirements, deriving suitable solutions, and independent implementation in an agile team
• Use of GitHub Copilot to support code generation, refactoring, test case creation, and technical documentation

Methods/ tools/ technologies: Languages & frameworks: Java (21), Spring Boot (4.x), Python, Angular, Robot Framework, Kubernetes, Helm Persistence: PostgreSQL, MongoDB, Hibernate, Liquibase Architecture & communication: REST, gRPC, GraphQL, Apache Kafka, OpenAPI, Microservices, Event Driven, Domain Driven Design Cloud & infrastructure: Terraform, Docker, Rancher, Helm, Ansible Security: OAuth2, MS (Entra ID), web security, Keycloak (extensions for detailed group rights) DevOps: GitLab CI/CD, Ansible, Maven, Gradle, Grafana, Prometheus, Git, GitHub Copilot Testing & QM: JUnit, Robot Framework, automated component and integration tests, E2E tests with Playwright, Testcontainers, EasyMock Methodology & approach: Kanban, JIRA, Confluence, Clean Code

• Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
• Optimise k8s resources and integrate native Prometheus metrics with OPA
• Migrate from internal monitoring solution to Prometheus CRs + Dash0

Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana

• Provision Kubernetes infrastructure on Azure, GCP, or bare-metal at the hosting provider
• Design and implementation of REST and GraphQL APIs
• Cloud governance (cost, compliance, security)
• Infrastructure-as-Code and CI/CD as code (Terraform, Ansible)
• Container technologies (Docker, Helm)
• Maintain and improve CI/CD pipelines (GitLab CI, GitHub Actions), Argo CD
• Deployment, scaling, and monitoring of microservices
• Distributed event streaming (Kafka)
• Message brokers RabbitMQ, MQTT
• Software development from scratch or further development of existing projects using PHP, Python, Go, C#, and Bash

• Led end-to-end implementation of the Miles and More Credit Card Service integrating with TSYS systems on Microsoft Azure
• Architected secure, scalable APIs and microservices using Spring Boot, Camunda, and Apache Kafka (Confluent Platform) for real-time event streaming and process automation on Azure Kubernetes Service
• Managed full development lifecycle of the credit card system on Azure Cloud including fraud detection, payment processing, account management, and Kafka-based event-driven data pipelines
• Designed and implemented Kafka Connect integrations and Schema Registry for seamless data flow between microservices and legacy systems
• Introduced Agile best practices, improving team efficiency by 30% and reducing project delivery time
• Directed and mentored a team of 15+ developers fostering a collaborative, cloud-first, and innovation-driven culture
• Managed client relationships achieving 95% satisfaction and securing follow-up projects through consistent delivery excellence
• Designed and deployed BPMN/DMN models in Camunda for complex business workflows and automation
• Configured Camunda Engine with advanced features such as error handling, RPA integration, and multi-version deployments
• Integrated Camunda and Kafka-based messaging with core banking systems ensuring high availability and data consistency
• Managed multi-database schema configurations on Azure and optimized system performance for high throughput and fault tolerance
• Designed and implemented cloud architecture patterns on Azure focusing on multi-region resilience, data sovereignty, and event-driven scalability for critical financial workloads

• Overall responsibility for platform transformation across ERP, CRM, PIM, and AI-driven process automation
• ERP transformation: Implementing and migrating to Microsoft Dynamics 365 Business Central
• CRM & growth stack: Implementing HubSpot as the central CRM and a platform for lead and marketing automation
• Product data & commerce enablement: Introducing an ePIM to scale category management and digital commerce processes
• AI-driven process automation: Designing and implementing agent-based AI workflows to automate processes in business services, accounting, tender management, and marketing
• Building a scalable platform organization including product development, DevOps, UX, cloud engineering, and corporate IT
• Implementing modern product and portfolio governance (e.g., OKRs, portfolio boards, value-based roadmaps) to manage technology-driven initiatives
• Harmonizing heterogeneous system landscapes and transforming them into a modular, scalable platform architecture (ERP, CRM, PIM, integrated customer journeys)
• Coaching and developing product owners, tech leads, delivery managers, and UX teams to build a scalable product organization

• Leading 20+ staff in development, site reliability engineering, and architecture.
• Leading the group-wide agentic AI initiative (Norway, Poland, Germany).
• Hands-on solution architect and AI consultant for over 50% of my working time on client projects in the publishing sector – from local publishers to international corporations.
• Strategic consulting and technical implementation of AI workflow platforms (n8n, Workato).
• Developing prototypes for traditional, AI-based, and agentic AI workflows.

• Defined a generic, universal system platform for XR (AR, VR) use cases as part of the European IPCEI initiative
• Evaluated available options for backend, streaming and client implementations
• Developed PoC implementations and conducted technical evaluation of potential components
• Led the development team and defined the target system architecture for a complete end-to-end solution
• Designed and integrated GenAI PoCs (LLM, time series, prediction, agents)
• Researched NeRFs and Gaussian Splatting for XR content creation and analyzed methods to measure and reduce system latencies
• Worked on GPU scheduling, CUDA and related topics
• Defined and implemented backoffice and end user dashboards using Grafana and Superset
• Used Jaeger tracing to analyze specific events
• Defined a GenAI-based automatic alerting feature for specific events and event clusters with KPI values
• Integrated AR/VR/XR IoT devices
• Collaborated with business development and UX teams in a parallel design thinking track to align technical and customer journey scopes
• Integrated the new services and platform into existing telco environments and analyzed tools like Camara for partial integration and handover scenarios

• Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
• Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
• Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
• Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
• Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
• Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
• Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.

• Developed and maintained Kotlin-based microservices with Kafka event streaming, applying Hexagonal Architecture and Domain-Driven Design in production environments.
• Contributed to the Bring-Your-Salary feature, enabling seamless onboarding of new salary accounts and improving customer experience.
• Built and integrated services for the FPAD VOP platform, supporting secure and scalable partner integrations.
• Investigated and resolved production incidents through root cause analysis (RCA), implementing fixes that improved service stability and reliability.