JBoss Experts in Munich

• Set up the new digitization strategy.
• Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
• In close cooperation with the business department, the individual processes are created and put into production.
• Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
• Gradual migration of old code from IBM WebSphere to JBoss.
• Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.

I have worked across multiple international client projects, holding senior roles including Software Architect, Senior Software Developer, Technical Lead, and Lead Backend & DevOps Engineer. My experience spans complex enterprise environments in banking, financial services, telecommunications, engineering, and automotive domains, supporting organisations such as UniCredit Bank, Telefónica O2, and BMW.

At UniCredit Bank, within the Securities Domain Transformation program, I led the modernisation of legacy monolithic systems into cloud-native Spring Boot microservices and an Angular frontend deployed on Google Cloud Platform. Beyond implementation, I was responsible for defining the target architecture, producing system architecture diagrams and sequence diagrams, and preparing API contract documentation for clients. I designed RESTful APIs and integrated Apigee for secure and reusable cross-project service consumption of APIs. I architected Kubernetes-based deployments using Helm. CI/CD pipelines were built with Jenkins, automating code analysis using Sonar, as well as testing and deployment stages. Defining clean coding principles for the project, conducting regular code reviews, and mentoring junior developers were also among my tasks at UniCredit.

At Telefónica O2, I led the transformation of a legacy call centre desktop application into a cloud-native microservices and micro-frontend solution. I actively contributed to the platform architecture, creating system architecture diagrams, component diagrams, architecture documentation, and ADRs for future references. I improved the performance and scalability of the services. I optimised AWS infrastructure costs, particularly by minimising the use of DynamoDB and reusing test environments effectively. Observability was implemented using Prometheus, Grafana, CloudWatch, and Splunk dashboards. CI/CD pipelines were delivered using GitLab, Docker, Kubernetes, and AWS. Conducted techinical sessions for teams.

• Built and managed a high-performing native app team (Android & iOS) from scratch
• Modernized the finance application with new features, leveraging Kotlin, Java, and Spring Boot microservices
• Introduced and scaled backend services enabling secure, high-traffic financial transactions for millions of users
• Improved development efficiency with custom tools for crash reporting, CI/CD pipelines, and release management
• Led recruitment, coaching, and mentoring of developers, fostering professional growth and cross-functional collaboration

• Agile coaching at BMW – 8 coaching projects

• Advised BMW department on introducing agile software development

• Coaching product owners, Scrum Masters, managers and teams

• Trainer for product owner workshops

• Consulting firm project (Jan 2017 to present): Steadforce was the main partner in developing products that consultants used on client sites

• As Scrum Master, supported scaling the project from six developers to three distributed Scrum teams with developers in Germany, Poland, Romania and Ukraine as well as stakeholders in Germany, US and India

• Agile values evangelist

• Organizing Scrum meetings

• Facilitating retrospectives

• Co-organizing team workshops

• Working on code quality and test coverage for almost daily releases

• UMS at BMW (Sept 2016 to present): Scrum Master for a team of 3 software developers

• Organizing Scrum meetings and collaborating in Jira with the product owner at the client for agile fixed-price billing (payment based on t-shirt sizing)

• Steadforce Campus: Redefining software development processes at Steadforce with a focus on clean code, code reviews and Scrum

• Backend development of the cloud-based microservice
• Frontend development of the microfrontend
• Migration of the cloud backend environment
• Rollout of the distributed high-availability Privacy Data Service
• Technologies: Java, Kotlin, Spring Boot, REST Services, Kubernetes, Microsoft Azure, Cloud Security, OpenAPI, Postman, JavaScript, Vue.js, AngularJS, TypeScript, Micro Frontend, Redis, Kibana, Grafana, CI/CD, GitHub Actions, Jenkins, Helm Charts, Sec-Hub, Black Duck, Docker, Maven, Git, Scrum

• Development of the Ibalis portal and payment process for applying and paying out EU subsidies.
• Publicly accessible portal, e.g., for farmers.
• Projects in the last ten years were carried out using Scrum.
• Technologies: Spring, Wicket, Hibernate, Postgres, JSON, XML, REST, Bitbucket, Podam, Buckets, JUnit, Gradle, IntelliJ, Bamboo, Swagger.

• Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
• Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
• Implementation of the mainframe job control in Java
• Mapping of job network dependencies in Control-M
• Performance analysis and optimization measures
• DB2 (z/OS) migration to Postgres (Azure)
• Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
• Tools: Eclipse, Visual Studio Code, IntelliJ

• JEE Software Engineer
• DevOps Engineer
• Java, JEE, JBoss/WildFly, Vaadin, CI/CD Pipelines, Jenkins, Maven, Git, Oracle database, MSSQL Server database

• Architecture, design and further development of a hybrid solution consisting of a Java backend with REST API and C# / WPF frontend
• Development of secure, distributed functions for classified message processing, categorization and encryption
• Integration of backend services with document management systems (DMS) for structured file storage
• Planning, setup and continuous optimization of Azure DevOps pipelines for automated deployment and quality assurance of distributed applications in a security-critical environment
• Technical coordination with Bundeswehr project managers and third-party providers of relevant software and interfaces, and documentation of the developed solutions

• Application support for the e-commerce presence of the Netto Online Supermarket chain [link]
• Webshop runs with PIM, ERP and Diva software - Microsoft Dynamics Business Central
• ITIL incident, change and problem management
• Diva components include ERP, CRM, OMS, WMS and POS
• Receiving, handling and, if needed, forwarding user requests
• Error analysis and support with problem solving
• Monitoring/orchestration of the individual systems
• Day-to-day collaboration with external service providers and development team
• User management and second-level support activities
• System logging/maintenance of external interfaces
• Application administration with Jira and Confluence in QA and production environments
• Technology: Windows Server 2008, Linux servers, MS SQL Server

• Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
• Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
• Responsible for webinar:
• IoT edge computing: architecture, components, resources, management
• IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
• IoT processes, connectivity, data transfer and deployment, security
• Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
• Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
• Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
• Analysis of large sensor data sets with Apache Spark, Kafka clusters
• Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
• Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
• Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))

• Analysis
• Probability and statistics
• Analytic geometry
• Abitur preparation