Platform Engineer

1/2025 – 6/2025

SRE and DevOps tasks related to the world-known Thermomix product

● Partnered with external development teams to deliver production-ready infrastructure for AI-driven culinary application, designing performance testing frameworks and automating deployment processes through IaC methodologies
● Contributed to the launch of Thermomix 7 by enabling the platform team to deliver modern, scalable, and observable infrastructure on EKS.
● Shaped the Infrastructure as Code Excellence by refactoring the IaC modules and documentation of the Vorwerk's sample application to make usage intuitive and error-resistant for new engineers.
● Helped Vorwerk transition from fragmented Kubernetes deployments to a centralized Helm chart framework used across teams to unify deployment practices, enforce standards, and minimize onboarding time, improving scalability, reusability, and team velocity. Migrated one of the critical applications, managing the Thermomix device certificate updates to use the said Helm chart
● Executed disaster recovery simulations and chaos engineering exercises to validate system resilience, identify failure points, and improve incident response procedures

Amazon Web Services (AWS), Continuous Integration, Git, Kubernetes, Python

9/2023 – 9/2024

● Accelerated team productivity by implementing GitLab CI/CD automation, eliminating manual deployment processes and establishing DevOps best practices across development workflows
● Strengthened security posture through Zero Trust architecture implementation, leveraging federated identity management and Azure KeyVault for centralized secrets management
● Enhanced system observability by architecting comprehensive monitoring infrastructure using managed Prometheus and Grafana, enabling proactive issue detection and performance optimization
● Validated system reliability through custom load testing framework design, ensuring external API integrations meet performance requirements under production traffic
● Designed and implemented a cost-effective serverless solution using Azure Functions, Docker containers, and Storage Queues, optimizing for both deployment efficiency and operational expenses
● Improved developer productivity through local environment optimization, reducing onboarding time and development friction
● Contributed to backend architecture through Java development, implementing business logic and system integrations

Git, Kubernetes, DevOps, Microsoft Azure

4/2023 – 8/2023

● Architected microservices integration layer for seamless external service connectivity within Enfuce platform, enabling scalable third-party API management and data orchestration
● Modernized cloud infrastructure using AWS CDK for automated provisioning, reducing operational overhead and improving system reliability
● Improved system reliability through observability stack enhancements, enabling data-driven operational decisions and faster incident resolution
● Optimized development workflows by refining CI/CD processes, accelerating feature delivery and reducing deployment risks

Amazon Web Services (AWS), Git, Java (allg.), Spring Framework