ISTQB Certified Tester Foundation Level (CTFL)

Senior Expert / Program Manager

IT Services

• Management of internal projects for infrastructure modernization: setup and maintenance of test environments that realistically replicate complex customer networks.
• Resource coordination: planning server capacities and cloud resources for automated test runs.
• Implementation of CI/CD pipelines to integrate automated tests into the build process.
• Evaluation of performance bottlenecks through load testing (NeoLoad/JMeter) to ensure scalability.

Tools / Technologies: Jenkins, Docker, GIT, ButBucket, NeoLoad, Azure

• Playwright-based API test automation for the Oracle JD Edwards ERP system
• Development of a TypeScript/Node.js test framework with MSSQL database integration
• End-to-end business process automation for order processing, customer management, etc.
• OpenAI integration for automatic PDF document validation
• Jira/Xray integration for automated test reporting with dashboard
• REST API client development with role-based authentication
• Test data management, dynamic ID validation, and cross-test data sharing mechanisms

• Led QA and test automation for a distributed industrial IoT and data-integration platform connecting shop-floor systems with enterprise applications.
• Designed and maintained automated API and UI tests using Playwright, TypeScript, and Python, covering REST APIs, authentication, resource management, integrations, permissions, and end-to-end workflows.
• Tested distributed services, data pipelines, messaging infrastructure, containerized applications, and integrations across Kubernetes, OpenShift, Docker, and Docker Compose environments.
• Performed functional, integration, regression, endurance, resilience, load, chaos, and exploratory testing across complex distributed systems.
• Used Chaos Mesh and Toxiproxy for network fault injection, latency, packet loss, and partition scenarios to validate system resilience and failure handling.
• Automated infrastructure provisioning, configuration, and environment setup with Ansible and managed deployments using Kubernetes and Helm.
• Tested integrations with industrial protocols, messaging systems, databases, HTTP/REST APIs, and external enterprise systems using simulators, emulators, and dedicated test environments.
• Worked with MQTT, Kafka, SQL databases, InfluxDB, REST APIs, OAuth 2.0, JWT, LDAP, Active Directory, OpenLDAP, mTLS, TLS, MFA, SSO, and RBAC.
• Investigated and resolved 40+ defects across backend services, integrations, distributed components, and web applications, using AI-assisted analysis with Claude to accelerate debugging, test design, and root-cause investigation.
• Improved deployment reliability through Kubernetes/OpenShift configuration and health-check tuning and monitored distributed systems using Grafana, Prometheus, and Loki.
• Collaborated with developers and product teams on sprint planning, technical refinement, quality strategy, release testing, and continuous improvement.
• Applied AI-assisted and agentic testing approaches to expand automated coverage and identify complex edge cases.

Complete build of a B2B SaaS platform for recruitment agencies

• Multi-source job aggregation via ATS APIs
• AI-assisted career page scraping
• Rule-based and AI-assisted matching
• Credit-based monetization model with Stripe integration
• Live in production since July 2026

Tech stack

• NestJS
• React
• PostgreSQL
• pgvector
• Claude AI
• Prisma

• Integrated Planning and Information System is rolled out and needs to be tested in various configurations and constellations
• Coordination and management of tests at approval, end-to-end, system and system integration levels as well as interface tests
• Development of a test plan according to HERMES standard for agile testing within SAFe/Scrum
• Automated tests developed in Ansible and integrated into a CI/CD GitLab pipeline
• Creation of system, integration, smoke, and end-to-end tests and management in Jira/Xray/Confluence
• Introduced a new review process for testing, leading to a redesigned Jira workflow presented in a cross-department board and released for all departments
• Consulting stakeholders to establish a toolchain for tests, requirements, bugs/defects for both GitLab and Atlassian tools

Transmission system operator – network provisioning platform (team lead)

• Designed the saga orchestrator in Python that provisions network fabrics with rollback.
• Split IP, identity, and resource allocation into bounded contexts with their own databases and typed clients.
• Implemented data access using DDD repositories and units of work, with no SQL in the domain code.
• Required integration tests using real PostgreSQL and RabbitMQ containers, and API fuzzing for every service.
• Introduced an agent workflow where a spec starts each change and a human approves every merge.
• Rolled out OpenTelemetry auto-instrumentation through GitOps across eighteen Kubernetes clusters.
• Led incident response for stuck provisioning and recorded every outage as a post-mortem.

Languages and software used: Python, FastAPI, Pydantic v2, SQLAlchemy async, PostgreSQL, RabbitMQ, Celery, pytest, testcontainers, schemathesis, Helm, Flux CD, GitLab CI, OpenTelemetry, pi coding agent.

Software product company – datacenter simulation SaaS (backend development)

• Built the asynchronous simulation pipeline as the second-largest contributor among more than twenty team members.
• Tagged every image by commit SHA and semver in the GitHub Actions deployment workflows.
• Diagnosed the RabbitMQ memory alarm that froze every simulation and fixed the limits in the Helm chart.
• Converted the test suite to function-style pytest, with coverage reported in every pipeline.

Languages and software used: Python, FastAPI, SQLAlchemy, Alembic, Celery, RabbitMQ, Redis, PostgreSQL, S3, EKS, Helm, Keycloak, GitHub Actions, pytest, mypy, ruff, SonarQube.

Internal AI platform – model serving and telemetry

• Built the FastAPI service that deploys open-weight models on GPU tiers as OpenAI-compatible endpoints.
• Upgraded production EKS by two Kubernetes minor versions and fixed zone-bound storage faults.
• Traced every model call, including its token count, cost, and latency, through the OpenTelemetry operator.

Languages and software used: Python, FastAPI, vLLM, LangGraph, pydantic-ai, OpenAI and Anthropic APIs, EKS, Helm, Flux CD, Terraform, GitLab CI, OpenTelemetry, Grafana.

• Backlog Management
• Scrum Master
• PO for the Ministry of Justice
• Optimizing Agile Processes
• Classic Business Analysis, User Stories and Testing
• Operational Topics like Nagios Monitoring and Incident Handling

Tools:

• Jira / Confluence
• SQL Developer
• Elastic / Kibana
• Visual Studio Code

• Build prototypes, expand AI skills, and practical application in a startup context.
• Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
• Technologies: LangChain, REST, Python, Java, JS, TS, Node.

• Designed and implemented automated end-to-end tests using Cypress for multiple insurance web applications and mobile app, improving regression coverage by ~70% and reducing manual testing effort.
• Automated critical user journeys and API validations, ensuring stable releases across frequent deployments.
• Integrated automated tests into GitLab CI/CD pipelines, enabling early feedback and faster release cycles.
• Continuously improved existing test suites by refactoring flaky tests and applying best practices, increasing test reliability and execution stability.
• Created and maintained test cases, test data, and test reports, improving transparency and traceability for stakeholders.
• Collaborated closely with developers, product owners, and QA colleagues from planning to release, identifying issues early and preventing production defects.

• Analysis, design and implementation of acceptance tests
• Test execution and reporting
• Defect reporting and retesting
• Tools: Xray, Jira, Confluence, OpenText Content Server, Scrum

• Managing the Testing services for the Global IT Testing Centre of Excellence (TCoE) team, which is responsible for managing and supporting the Product & Project Testing Workstreams on various Regional Projects, especially in Pharmacovigilance, Digital Supply Chain, Clinical Practice and R&D, etc.
• Managing Client relationships, escalations and continuing to grow the project services globally, while also driving the testing efforts on Takeda’s AI, DevOps, Agile, and Digital projects.
• Led the implementation of a Quality Management System (QMS), ensuring compliance with GCP, GMP, and Swiss and EU regulations, resulting in a huge improvement in audit readiness.
• Overseeing projects for systems including ERP, EDGE, SAP ECC, SAP Transportation Management, S/4 HANA migration etc.
• Led an AI/ML PoC for AI implementation.
• Led a cross-functional team to ensure compliance with MDR, FDA regulatory guidelines and achieved successful project deliveries.
• Led and managed change management and communication for TCoE, keeping the Takeda organisation informed of change communication and practices, including presentations to various stakeholders.
• Ensuring TCoE outsource vendor resources adhere to regulatory, compliance and quality system standards and practices for GxP & non-GxP System Development Life Cycle (SDLC) including aSDLC and TCoE Global Standards.
• Translated the product vision, strategy and requirements into backlog items, which were prioritised based on potential business impact and customer value.

• Create and lead roadmap forecasting of support opportunities, including colleague training, process design and improvement, and new hire onboarding.
• Collaborate seamlessly with cross-functional teams including Professional Services, Support, Product, Sales, and Solution Engineering.
• Manage business and financial KPIs in alignment with overall business objectives.
• Industrial IT & Data Integration: Implement, configure, and integrate OT/IT systems and data flows, connecting control-layer sources (DCS, PLC, SCADA) to historians, data platforms, and enterprise systems through APIs and standard interfaces.
• AVEVA PI & Historian: Configure, maintain, and extend AVEVA PI (PI Data Archive, Asset Framework, interfaces/connectors) to capture, contextualize, and serve real-time and historical operational data.
• Alarm Management: Support and optimize alarm management systems – e.g. Honeywell Alarm Management – including alarm rationalization, classification, and the analysis of alarm performance, critical alarms, and alarm floods.
• Connectivity & Protocols: Set up and troubleshoot industrial connectivity using OPC UA and OPC A&E, including the configuration of tunnelers / wrappers to bridge OT data sources securely and reliably.
• Production Data Flow: Ensure seamless, secure, and well-structured data flow across the industrial IT landscape, transforming raw operational data into meaningful information for operations and decision-making.
• System Support & Troubleshooting: Provide ongoing support for OT/IT applications, troubleshooting issues across networks, software, and data integrations to keep systems running efficiently.
• Knowledge Management & Best Practices: Contribute to internal documentation, best practices, and troubleshooting guides, and help continuously improve how we deliver industrial IT and data solutions.

Tools & Software: Aveva PI, Salesforce, Active Directory, Microsoft Dynamics 365, Jira, Microsoft, Scrum, DevOps, Docker, CI/CD, Jenkins, GitHub.

• Design appropriate test cases to verify the GUI in Azure Test Plans
• Creation and execution of manual test cases
• Test design for user stories to be implemented in the current sprint
• Analysis of deviations/bugs based on log files and Kibana dashboards
• Creation of bug tickets with error description, screenshots, and short videos
• Prioritization of open bug tickets together with the PO
• Retest of bugs and hotfixes
• Execution of manual tests to ensure a 100% fulfillment rate of all functional requirements
• Selection, installation, and maintenance of a test automation tool (Selenium)
• Implementation of automated regression tests
• Continuous expansion of the object repository and adaptation of automated test cases (acceptance, integration, and system tests)
• Creation of test logs before each sprint change

• Building a framework for automated website testing
• Testing, regression testing
• Defect management
• Release management, UAT, agile testing
• Feature discussions with business
• Test management