Microservices Experts in Frankfurt

• Designed and implemented modular AI assistants for sales and business processes within the Microsoft ecosystem (Agentic AI, Copilot extensions)
• Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, Hooks, React Query, OpenAPI clients)
• Enterprise-level agent development: reusable skill/agent library, MCP servers, review and compliance gates
• LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
• Architecture and code review consulting, and mentoring within the AI development team
• Integration with Microsoft Graph, Power Platform, and Azure services
• Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure

The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.

• Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
• Technical specification and documentation of business requirements
• Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
• Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
• Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
• Definition and implementation of automated unit, integration, and regression tests

Team Size: 9

Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube

• Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
• GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
• AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner

Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-world use cases: preparation of the requirements specifications for TOBA and the associated test specifications.

Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS

• Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
• Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
• Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
• Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
• AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
• Building an AI-native enterprise platform that structures organizational data, workflows and responsibilities for both people and AI agents.
• Models accountability through RACI, allowing human and AI participants to take different operational roles, including Responsible, Accountable, Consulted and Informed. AI agents can also take controlled approval roles where the organization assigns that responsibility.
• Extended the organizational and operational-risk themes from my Executive MBA thesis into software, making roles, processes and controls explicit and machine-readable.
• Structures enterprise context so LLM interactions use more relevant information instead of repeatedly processing large amounts of unstructured content.

• Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
• Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
• Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
• Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
• Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
• Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
• Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka

• Agile coach and scrum master in property insurance/underwriting for Allianz Technology
• Team 1: Kanban/Scrumban team in DevOps mode – new features, distributed monolith to microservices, reduction of technical debt & refactoring, implementation of CI/CD, expansion of automated testing
• Team 2: SAFe team – greenfield service for global software and German adaptation, AI integration (Cythora)
• Scrum trainings, scrum manuals in Confluence, all ceremonies, establishment of an experimental just culture, team replacement and scaling from 7 to 20
• Requirements engineering, prioritization via business value for product owners, risk identification
• Project budget management, JIRA monitoring and automation, steering committee support, test strategy
• SAFe integration, PI planning, flight levels and road mapping

• Linux server migrations: Planning and implementation of the migration with SLES Linux Deployment of VMs in VMware 8.0
• Guiding colleagues in configuring Linux VMs in vSphere Auto Deploy
• Application operations: Ensuring the smooth operation of applications on the migrated servers
• Operations manuals: Revising existing operations manuals, adding to them and creating new ones when required
• Reviewing service offerings: Adjusting and optimizing the service offering of external service providers
• Logistics SW, RedHat Linux, Ansible, Confluence / Jira

Project: SCS (Settlement / Clearing Services)

Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.

Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.

• Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
• Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
• Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
• Designed and deployed microservices with asynchronous, REST-based communication between components.
• Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
• Automated build and continuous integration pipelines using Maven and Jenkins.
• Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
• Optimized Java code and implemented EHCache-based caching, improving application performance.
• Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments

• Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable price determination
• Implemented modern .NET 7-based microservices and Web APIs in an Azure environment using Azure App Service, Azure Storage and Azure Service Bus
• Created and managed infrastructure in Azure using Terraform, including resource provisioning and the automation of deployment processes
• Developed and maintained Azure DevOps pipelines to optimize build, test and release workflows
• Optimized data management with SQL Server and ensured seamless integration across all services
• Developed the frontend with Angular 16, TypeScript, CSS, HTML and Kendo UI to provide an intuitive and engaging user interface

• Close collaboration with development teams to ensure alignment with project objectives
• Assessment of in-scope assets, creation of requirements, and support of the public tender process through the selection of a provider
• Creation and maintenance of UML sequence diagrams to document system interactions
• Extensive use of Agile/Scrum methodology and Spotify model
• Development and implementation of cutover and dress rehearsal plans together with the application managers

• Consulting and creation of various web applications based on SharePoint and the React framework for different clients
• Development and testing of accessible apps for SharePoint
• Creation of various test cases for test automation
• Development of various solutions based on Azure
• Creation of various web services based on .NET
• Development of various SharePoint Framework solutions
• Development of various UI solutions based on SharePoint
• Consulting and creation of various Power Apps applications and Power Automate for the steel industry and an IT consulting company
• Support, consulting, and development with offshore teams for SharePoint 2013, 2016, and microservices for a logistics company
• Consulting, concept design, and development of microservices and web applications based on Microsoft technology and the React framework for a logistics company
• Consulting, concept design, and development of various SharePoint Framework solutions on SharePoint 2016 for logistics
• Consulting for the migration from SharePoint 2010 to 2016 for an IT consulting company

• Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
• Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
• Domain-Driven Design, Event-Driven Architecture with Kafka
• Development of an extensive query engine for REST endpoints based on business objects
• Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
• Analysis and evaluation of complex load test scenarios and derivation of optimizations
• Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
• Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
• Connection to Azure ServiceBus (AMQP protocol)
• Design and implementation of complex authorization concepts (including delegated administration)
• Documentation of the results (Confluence, architecture descriptions, architecture decisions)