Software Architect

Development and implementation of the website onecept.at using React/Next.js. Focus on responsive web design, high-performance component structure, basic SEO optimization, and technical deployment.

Technologies: React, Next.js, TypeScript / JavaScript

Technologies: Confluence, PlantUML, BPMN

• As part of the modernization of ING DiBa, the master data management system is also being renewed. As the Domain Architect for this topic, I had to find a way to combine global solution approaches from the headquarters in Amsterdam with local requirements from the German branch in Frankfurt.

• Analysis of existing microservice structures and integration into the event-driven architecture
• Design and implementation of prototypes
• Introduction of structured workflows and integration into a solid testing strategy
• Team: Small specialized team (3-5 people) from analysis through implementation readiness
• Documentation of architectural decisions and definition of interfaces
• Integration of the event-driven pipeline into the existing landscape
• Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase

• Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance

• Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements

• Further development and configuration of recertification processes

• Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)

• Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards

• Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles

• Work in an agile Scrum team with daily communication, sprint planning and reviews

• Coordination with testers, test managers and business departments to ensure quality and smooth production rollout

• Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies

• Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)

• Reproduction of complex errors, identification of root causes and implementation of lasting fixes

• Creation of technical analyses and recommendations for operations and further development

• Scalable platform for children and parents to discover future skills and technologies in a way that suits them
• React web frontend with microservice architecture in the backend (.Net Core, Azure Storage, Azure Entra ID, REST API)

• Support for a data, analytics and AI initiative in a regulated enterprise environment by structuring, evaluating and prioritizing several data-driven use cases based on business impact, feasibility, scalability, data maturity and governance requirements.
• Translation of complex business and analytics requirements into clear product, data and implementation logic, as well as preparation of decision-ready documents, target visions and roadmap inputs for stakeholder and management discussions.

• Develop a concept for the analysis of sensor data.
• Assess implementation options, products, and pricing in Azure.
• Present and advocate the solution concept to the client.
• Implement an ETL pipeline for processing sensor data.
• Integrate BI solutions with the data repository.
• Provide documentation and support for end users.

• Greenfield project M-Zollmanager: Development of an internal platform to support users in booking requirement areas on line items in assessment notices.
• Greenfield project M-Deliveryplan: Development of an internal platform for planning and tracking deliveries in the international transport sector.
• Created functions to predict the estimated arrival time of container ships and goods from the port of loading to the port of destination, considering potential events.
• Developed the TrackAndTrace add-on for M-Deliveryplan to track and plan goods and containers.
• Built a generic AI chatbot for Migros app infrastructure, including ChatGPT integration and creating AI workflows with N8N.
• Developed AI assistants to automate repetitive tasks, such as creating release notes or processing Jira tasks based on N8N workflows.
• Further development and maintenance of the M-LFS, M-Vehicleaccess and M-Worklog apps.
• Used C#, Angular 18, DevOps practices, N8N, Kubernetes, Docker, Jira, Confluence and Azure.
• Ongoing project with continuous development of platforms and workflows.

• Industry: Insurance, Trade, IT
• Customers & Projects: Consulting and selling insurance and similar services
• Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
• Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports

• Lead software architect in a greenfield MES project (Manufacturing Execution System / factory control system), responsible for architecture decisions, technology selection, and technical direction throughout the entire development lifecycle
• Designed and built the core framework from scratch, including several reusable Spring Boot starters (e.g., OPC-UA integration, messaging, security) that enable flexible composition of the individual system modules
• Introduced Keycloak as the central authentication and authorization system with SSO across all MES components
• Created and owns the full CI/CD pipeline covering Java, NPM and Docker – automating build, test, containerisation and deployment across all project components
• Set up the architecture documentation space in Confluence as the single source of truth for all architecture decisions, component designs, and integration patterns
• Defined and enforced naming conventions and coding standards to ensure consistency in the growing codebase
• Conducted regular code reviews for quality assurance, knowledge sharing, and adherence to architecture guidelines
• Created and maintained technology roadmaps to guide future development priorities and infrastructure investments

• Create requirements for the modularization of the promotion forecast.
• Set up and expand the various competitions for 2024.
• Customize and test the CICS dialog.
• Create various reports for the department using SQL.
• Implement and test new requirements in batch processes with IWS.
• Update documentation for the new requirements.
• Provide on-call support for daily and monthly production.
• Technologies used: SCRUM, Jira, Confluence, Windows 11, Unix, Enterprise Developer, z/OS, GIT, Mineral, Moped, IWS/TWS, JES, COBOL, CICS, DB2, SQL, Rocket, FortiClient, Citrix.

• Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.

• Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.

• Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.

• Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.

• Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.

• Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.

• Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.

• Analysis of extended requirements related to existing controllers in an industrial plant
• Creating concepts for storing and visualizing sensor data
• Communication with PLCs
• Microservice architecture
• Unified architecture
• AI-based evaluations of sensor data
• Technologies used: .NET 8, Minimal API, Postgres, MQTT, RabbitMQ

• Deployment of a Customer Engagement & Loyalty solution in the cloud (AWS) and integration into the existing on-premise system landscape.

• Technology: AWS EKS - Kubernetes, Helm, AWS EC2, AWS S3, PostgreSQL, SAP GLIF, RabbitMQ, Git, GitLab, ArgoCD, GitOps, CI/CD, Terraform, HashiCorp Vault, JFrog Artifactory, Splunk, Prometheus, Grafana, Linux, bash, IntelliJ, draw.io, Confluence

• Result: Deployment of a cross-product bonus program for retail banking, embedded into online and mobile banking; actual and emotional customer engagement; improved profitability and loyalty; support for cross- and upselling; long-term improvement in customer satisfaction and positive impact on the company image.