k6 Experts in Germany

AI Readiness - Part 3: Creating an E-Book on the Use of AI in Software Testing

• Designing and creating an e-book on the meaningful and safe use of AI in software testing from the perspective of an experienced test expert.
• Using generative AI (ChatGPT, Perplexity Pro) as a sparring partner for structuring, wording suggestions and variant creation, with final technical review and approval of all content based on my own expertise.
• Developing practical opportunities and risks of AI in testing, with a special focus on collaboration between testers and AI instead of "tester vs. AI".
• Title: "11 Strong Reasons: Dream Team Instead of Rivals - Testers and AI Are Unbeatable Together"
• Subtitle: "How humans and machines form the perfect team in software testing—and why pure AI testing is risky."
• Planned use of the e-book as a basis for workshops, client presentations, or internal training.
• Technology: Generative AI, ChatGPT, Perplexity Pro, Microsoft Word, Adobe Acrobat, many years of professional testing experience, common sense.

• Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero

• Introducing user story mapping, ADRs, milestones, and backlog management

• Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts

• Representing and communicating the team with third-party stakeholders (e.g. env zero)

• (Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices

• Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
• Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
• Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
• DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
• Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.

Consulting, designing, and implementing the software testing lifecycle for multiple Android apps and backends Introducing test automation with Appium, SpringBootTest, RestAssured Setting up and managing emulators Developing an E2E library, an integration library, a Testcontainers library, and other libraries Developing, implementing, and advising on CI strategies Building the test environment with Testcontainers and virtualization Developing and implementing test cases for integration tests and end-to-end tests Establishing a maintainable test architecture with low entry barriers to simplify the creation of automated tests Some tools and technologies used: JUnit, RestAssured, Testcontainers, Kubedock, Appium, Android emulator, Jira Xray, Mockito, WireMock, Spring Framework, Kotlin

• End-to-end quality assurance in a global S/4HANA transformation program.

• Automated test data setup, evaluation of search and generation solutions, and PoC execution (K2View, EPI-USE).

• Coordination between Siemens teams and external partners, and structured knowledge transfer to internal stakeholders.

• Created a basis for PoC decisions and sped up tool selection.

• Standardized test data provisioning and noticeably reduced lead times.

• Established governance for test data processes (policies, roles, KPIs).

• Sustainable know-how transfer: empowered internal teams to operate solutions on their own.

• Methods & technologies: S/4HANA, SAP, K2View, EPI-USE, test data management, data masking, data provisioning, test strategy, test management, coaching & enablement, Azure DevOps, Microsoft Office 365, Gemini.

• Responsible for the new development of billing and auditing software for prescriptions (prescriptions) to fully check and evaluate e-prescriptions for correctness (content, billing)

• The system consists of several contexts that run as services (Docker containers):

• Checking and processing data deliveries via FTP and email

• Managing invoices, clearings, advance payments and deductions

• Managing and running audit rules and audit folders

• Evaluations based on Metabase

• Developer Stack: Kotlin, Vue 3 / Vuetify 3, ANTLR, Spring Boot 3, REST API, Gradle, Docker, GitLab, PostgreSQL, Kafka, Keycloak, Scrum, Grafana, Loki, Testcontainers, Prometheus

• Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
• Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
• Implemented based on RESTful / OpenAPI services
• Delivered as a fat-jar and native container image
• Deployed on-premises and serverlessly as an Azure Container Application using Terraform
• Improved team autonomy through infrastructure engineering and short feedback loops
• Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
• Introduced Terraform and trunk-based development processes
• Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
• Created Azure DevOps pipeline integration tests
• Introduced cloud deployment processes
• Trained staff in cloud and Terraform

• Upgraded Ruby from 2.7 to 3.1, boosting application performance by 30% and reducing technical debt.
• Integrated Zendesk Messenger into the customer support platform, streamlining communication workflows and increasing support efficiency by approximately 25% through faster response times and improved issue resolution.
• Orchestrated the migration of 65,000+ Schutzklick customer records to a new cloud platform, achieving zero downtime and accelerating data access speeds by 40% for internal teams.
• Implemented JumpCloud SSO for 500+ admin users, strengthening platform security and access control.
• Conducted k6 load testing, enabling the platform to support 10,000+ concurrent users without degradation.

• Responsible for software engineering and DevOps in the Data & AI Platform - Intake and PubSub projects at STACKIT, the cloud provider of the Schwarz Group.
• Technologies: Golang, Kubernetes, Kubernetes operators, OpenAPI v3, REST API, Azure DevOps, CI/CD, k6, Kafka, Strimzi, Apache Iceberg, RBAC, IAM, Terraform, Helm, Infrastructure automation, Load balancing, Traefik, ArgoCD, kuttl, Kyverno chainsaw, Kustomize, Velero, Prometheus, Grafana, Checkly / Playwright (TypeScript), NATS/Jetstream, WebSockets, gRPC, SSE

• Fullstack development based on Next.js and TypeScript
• Development and optimization of geospatial database queries for PostgreSQL/PostGIS
• Visualization of geospatial data using Mapbox
• Design and execution of load tests and performance optimizations
• Code reviews and documentation tasks
• Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS