Azure DevOps Experts in Dortmund

Task:

• Design and build a proof of concept (PoC) for a future-proof virtualization platform, taking secure system architectures into account
• Assess the current state of existing infrastructures and develop selection and evaluation criteria for the right OS virtualization platform
• Carry out the requirements analysis and then create and prioritize tickets in the ticket system
• Complete and continuously update a tool evaluation matrix based on PoC results
• Support team knowledge building through clear documentation of the approach and results in Confluence
• Enterprise analysis of existing hardware (creating different BoMs)

Technologies: Vmware, Vmware Aria Operations, Osism, Canonical OpenStack, FishOs, Linux, Terraform, Ansible, Confluence, Alma

• Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
• Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
• “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).

Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest

• Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
• Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
• Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.

• Led the 12-week training program to become an AI and automation specialist
• Created training materials & video courses on "AI Fundamentals", "Working with ChatGPT", "Prompt Engineering", "AI Agents with N8N", "Automations with Make.com" & AI-generated marketing content (images, videos, blog posts & social media posts)
• Conducted workshops on the above topics
• Tools: Loom, N8N, Make.com, ChatGPT, Midjourney, Gamma.app, Canva, Kling AI, Magnific AI
• Result: Participants learn the technical and business know-how to successfully build a business as AI and automation specialists

Building an observability and alerting solution for Business Central Job Queue monitoring

• Built a central monitoring solution to track the Business Central Job Queue in a multi-organization environment in Azure DevOps
• Integrated Azure Application Insights and Log Analytics for structured collection and analysis of job runtimes and error events
• Developed KQL queries for targeted analysis of failed jobs and detection of error patterns
• Connected Grafana and Power BI to visualize operational metrics and job status in real time
• Implemented an automated alerting workflow with Power Automate – when a job fails, a notification email is sent immediately
• Ensured transparency about the state of productive background processes during live operations

Result: Full transparency over failed Business Central jobs · Clear reduction in response time through automated email alerting · Stable foundation for proactive operation of productive background processes

Technologies: Azure DevOps | Application Insights | Log Analytics | KQL | Grafana | Power Automate | Power BI | Business Central | Azure Monitor

• New development of a web app to manage and configure counting devices for large events
• Technologies: .NET 10, C#, Blazor, MudBlazor, MySQL, Git

• Led the Email Distribution Restructuring project to reorganize over 600 email distribution lists and mailboxes for a multinational company, aiming to improve the efficiency and scalability of internal communications.
• Conducted a comprehensive analysis of existing distribution lists to identify inefficiencies and redundancies, and defined clear naming conventions and standardized processes.
• Oversaw the cleanup of outdated and unnecessary distribution lists in line with new guidelines.
• Collaborated with the IT department to evaluate and implement automation solutions for dynamically updating distribution lists.
• Implemented a pilot phase to validate new processes, gather feedback, and refine the approach for a company-wide rollout.
• Defined responsibilities for maintaining and monitoring distribution lists and assigned them to specific roles.
• Created detailed project documentation and regular reports for management and other stakeholders.

• Introduction of an MES system in pharmaceutical production.

• Support in replacing existing recipes by introducing an MES system.

• Focus on converting cleaning and manufacturing AKBs into MBRs.

• System environment: Werum PAS-X MES, GMP, SAP, Microsoft Office (Word, Excel), XML

• Implementation of various interfaces for subsystems and connection to external devices (cameras, scanners, digital lockers)
• Development of various interfaces in the used cars area
• Realization of various prototypes
• Support in UI/UX and data analytics
• Development of frontend and backend solutions
• Kubernetes migration
• Building CI/CD pipelines
• Communication with the business unit and technical design of new solutions
• Cross-team alignment and coordination within the team
• Overview of the entire technology stack and related systems
• Documentation, preparation, and conducting of reviews
• Supporting the team and coordinating releases and key milestones