OpenShift Experts in Austria

Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock

Achievements:

• Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
• Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
• Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
• Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.

• Migrating from VMware to OpenShift Virtualization, 40+ workstreams / projects in parallel (Small- to Medium Sized VM Operators / Critical Factory Workload Owners / Large-Scale Data Center Operators)

Focus:

• Developing and providing Cloud Native Courses
• Architecture Consulting for Platform Engineering and Cloud Native
• Supporting Teams and People on their Cloud Native Journey

Delivered Trainings:

• Kubernetes Fundamentals - From Pods to Ingresses; 2 Days
• Platform Engineering on GKE - Operators, GitOps, Gateway API, Policy Management, Storage; 2 Days
• Platform Engineering on AKS - GitOps, External Secrets, Policy Management, Ingress/Gateway API and Storage; 4 Days

Currently In Progress:

• Platform Engineering Basic / Advanced on OpenShift - OpenShift/Kubernetes Basics, GitOps, External DNS, External Secrets; Multi-Step Program with 2 Course Blocks (3 and 2 Days) and self-paced projects

Project goal: Introduce OpenShift as the run-time platform and migrate all applications to OpenShift.

My contribution: Make sure logging and monitoring for the applications were in place. Set up and put into operation the OpenShift components for logging and monitoring (Elasticsearch, Prometheus, and Grafana). Develop and implement the security concept for OpenShift. Work with developers to define and carry out the application changes needed for the OpenShift migration. Integrate monitoring into the applications.

Technical environment: Java, WebSphere Liberty, OpenShift components, Elasticsearch (ELK stack), Prometheus, Grafana.

• Architected and deployed a highly available, multi-tenant Kubernetes platform on Google Kubernetes Engine (GKE) for business-critical microservices.
• Designed and implemented a comprehensive Infrastructure-as-Code strategy using Terraform for managing GKE clusters, networking (VPCs, Subnets), and IAM policies.
• Engineered optimized storage solutions for stateful workloads (MongoDB) using GKE PersistentVolumes, enhancing performance and data resiliency.
• Established a full-stack observability framework using Google Cloud Monitoring, Logging, Prometheus, and Grafana.

Further development of an insurance product quotation system

• Implementation and maintenance of pricing logic for property and casualty products (accident, property liability, business contents) based on Java and FaktorIPS
• Implementation of actuarial tariff revisions into product-specific calculation models
• Development and refactoring of backend components and web UI components
• Creation and maintenance of test tables and automated premium tests for quality assurance
• Code reviews and active involvement in quality assurance in the development process
• Production support and bug fixing in live operations

• Developed a CRM solution using the Vaadin UI framework
• Implemented a digital audit workflow for efficient handling of review and approval processes
• Supported structured management of customer and project data and ensured compliance
• Focused on usability, process automation, and integration into existing systems

• Implemented and maintained 443 automated test cases with a 99% pass rate (441/443)
• Enabled CI for test automation: automated runs on review/merge, reporting via Xray
• Introduced accessibility and performance checks and established them in reporting
• Served as QA lead in daily operations with stand-ups, Kanban progress tracking, prioritization, and targeted task distribution
• Handled defect triage and stakeholder communication with daily triage, QA status analysis, and actionable recommendations
• Developed and maintained a stable regression suite for CRM/Salesforce flows (UI/E2E and near-API validations)
• Integrated CI/CD using Jenkins pipelines with Groovy (IaC)
• Maintained QA documentation, test conventions, and processes in Confluence, aligned across the team
• Conducted Salesforce Einstein chatbot testing with intent/topic validation and output checks, and used Robot Framework/Python suites for continuous quality monitoring
• Technology stack: Jira, Xray, Confluence, Jenkins, Groovy, Git, Java, Selenium, Playwright, Cucumber, TypeScript, Postman, REST, Salesforce, Google Cloud, Lighthouse, Evinced, Scrum/Kanban, BDD (Gherkin)

• I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
• The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
• Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
• Managing over 10 global vendors and partners is crucial to project success.
• Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.

• Custom anonymized research data analyzer, providing insights and facilitating data-driven decision-making.
• Designed and developed back- and frontend.
• Delivered end-to-end solution.
• Accelerated research timeline by 2 months.

• Planning, monitoring, coordination, and documentation of the output project as part of the policy migration to the UNIQA Insurance Platform.
• Planning and design of new requirements.
• Designing a consistent, maintainable, and scalable application architecture.

• Backend / Microservice Developer, DevOps, Test Automation
• ~100 Devs, ~10 Teams, per team: 1 PO, 1 Scrum Master, 1 UX, 1 Developer, 1 Tester
• .net core 8, 9, C#
• Microservices, Clean-Architecture, MediatR, CQRS
• GraphQL, REST, SDL
• Azure DevOps, CI / CD-pipelines, Azure-Service Bus, Rabbit-MQ, Kafka, Azure App Configuration, Azure KeyVault, Azure Kubernetes AKS
• Splunk, dashboards, custom metrics, Elastic-Search, Kibana (ELK)
• Azure SQL-Databases, Azure Cosmos DB
• Architecture decisions, event governance, COP (Backend, DevOps, FrontEnt, Test Automations)
• AI, Copilot, creating test templates
• Scheduler, Hangfire, Quartz
• Automated unit and integration tests
• Automated E2E tests, Playwright test automation, BDD, Gherkin, Cucumber
• Tracking of shipments
• GIS, GPS data, geofence, geo search, position tracking, asset positions
• Jira, Confluence
• Focus on high-performance message-oriented architecture (~xx million messages per month per service)
• Structured logging, Serilog, OTel, Splunk, Application Monitoring
• Integration of different position data sources (GPS-based data) into Azure Data Lake

Further development, configuration and operation of DOXiS, a document management system at a large financial services company. Development of a document interface as a REST API to integrate with third-party systems using the Java Spring Framework. Programming client scripts in Visual Basic, as well as workflow and agent scripts in Groovy.