Cloud Engineers in Germany

• Architecting managed Kubernetes platforms for 150+ enterprise clients across the energy, logistics, automotive, and public sectors.
• Designed OCaaS: Kubernetes-native multi-tenant SaaS for AI assistants, with namespace-per-tenant isolation, dual-tier LLM inference, and automated tenant lifecycle management.
• Designed Chronos, Kafka as a Service on Strimzi with hybrid tenancy (shared and dedicated tiers); authored the platform RFC.
• Built multi-cluster GitOps (Flux CD, Helm, Kustomize); changes validated on ephemeral k3d clusters with Renovate + GitLab CI auto-merge.
• Architected Argus: correlated OTeI traces, logs and metrics (LGTM stack).
• Migrated secrets from HashiCorp Vault to OpenBao; built a Kyverno policy framework for RBAC automation and cross-namespace secret synchronisation.
• Built Salar: node patching and cluster upgrades with Uyuni + SaltStack.
• Built platform storage with Ceph and SeaweedFS; migrated object storage from MinIO.
• Client delivery: OTeI observability and Datadog SAML for a global cultural institute; Galera/PXC incident response for a SaaS provider.

Fiverr client

• Fixed consumer issues in a production Kafka environment.
• Analyzed consumer lag with Datadog.
• Added synthetic tests to detect issues early.

Stack: Kafka, Datadog, Consumer Groups

Own company in Berlin. Building and operating our own learning platforms on Google Cloud (Frankfurt) with an AI tutor, course reports, and certificate verification. Developing AI assistants and RAG chatbots, n8n automations, and web apps with admin areas; producing learning and explainer videos in German and English.

Red Hat OpenShift Container Platform

Scope:

• Operation and configuration of the Red Hat OpenShift Container Platform, including network, storage, and security design.
• Implementation of centralized observability solutions (Prometheus, Grafana, alerting).
• Development of CI/CD pipelines, GitOps workflows, and automation frameworks.
• Training and enablement of operations and development teams.

Result: Accelerated service delivery, transparent operational metrics, and sustainable knowledge transfer.

• 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.

Company in the industrial sector

Projects completed during retraining

• Rebuilt the company website from WordPress using a modern stack with Astro and TypeScript, deployed on Vercel (live at sybarium.vercel.app); replaced the legacy CMS with a faster, maintainable system.
• Reduced page load time by ~80% (from 5 s to under 1 s) through optimization, caching, and asset optimization.
• Developed n8n automation workflows that integrate several REST APIs and internal systems, saving more than 3 hours of manual work per week.

• Independently carried out integration, testing, and acceptance activities on 5G core systems in a containerized test environment; structured test protocols and documentation
• Built a 5G core and RAN integration environment from scratch (Docker Compose) for reproducible test scenarios across multiple vendor configurations
• Performed fault analysis and troubleshooting across the entire protocol stack (SBI, RRC, NAS, NGAP, TLS) to precisely isolate integration issues
• Contributed to the BSI-related NESAS-CCS-GI evaluation project – experience in security-critical, regulated customer projects

• German Landesbank in the area of credit risk:
• Design and implementation of a scalable, cloud-native ETL pipeline with Apache Airflow, PySpark and AWS EMR on EKS, including data integration, transformation and production operations
• Support in building and operating a cloud-based SaaS infrastructure on AWS with Helm, Kubernetes, ArgoCD, Grafana and Terraform/Terragrunt
• Use of modern data engineering technologies to develop efficient data pipelines with Git, CI/CD and DevOps practices
• Coordination of technical requirements with business and IT stakeholders in the banking environment
• Specialist service provider for banking regulation & rating procedures in the area of market price risk:
• Development of an analysis and validation platform in Kubernetes (on-premise) to automate calculations with Apache Airflow
• Development of analysis dashboards and evaluations with Python, R and SQL

• Development of a new generation of Spring Boot microservices for an archiving system on OpenShift, monitoring, security analyses

Stack: Java, Spring Boot, Kafka, Vaadin, OpenShift 4.x, Maven, Artifactory, Jenkins, Git/Github, GitHub Copilot, GitOps, CI/CD, Kargo/ArgoCD

• Built more than 15 frontend applications and more than 10 backend services across internal tools, back-office workflows, and external portals for installers and end customers
• Automate build and release workflows with TypeScript and Azure DevOps
• Mentor junior engineers through code reviews and technical guidance
• Integrate AI-assisted and agentic development practices into engineering workflows
• Coordinate user experience decisions with UX designers

Tech Stack: Claude Code, Codex, AWS (S3, Lambda, AppSync, Resolver), Next.js App Router, ReactJS, NuxtJS, Vue.js, Storybook, JavaScript, TypeScript, GraphQL, Azure DevOps

Java 21 · Spring Boot 3 · Keycloak · PostgreSQL · Docker · Nginx · GitHub Actions · DigitalOcean · React 18 · TypeScript · Plasmo

• Architected and shipped a production-ready Job Application Tracker end-to-end: REST API with 5-stage workflow, pagination, sorting, and dynamic filtering — full ownership from design to live cloud deployment on DigitalOcean.
• Implemented production-grade identity management: OAuth 2.0 / OpenID Connect / JWT / RBAC via Keycloak, applying Hexagonal Architecture and DDD principles.
• Built automated CI/CD pipeline (GitHub Actions); containerised with Docker; Nginx reverse proxy with path-based routing and SSL termination.
• Developed a Chrome Extension (Plasmo framework, Manifest V3) that auto-fills job applications directly from LinkedIn into the tracker — demonstrates full product thinking across backend API and browser client.

• Planned and developed a CPU monitoring application for monitoring system performance and resource utilization.
• Designed and implemented a Spring Boot backend providing a REST API for processing and exposing monitoring data.
• Developed the React frontend for presenting monitoring information in a clear and user-friendly interface.
• Integrated PostgreSQL for persistent storage and management of application data.
• Containerized the application and its services using Docker Compose.
• Automated infrastructure provisioning and deployment using Terraform on AWS.
• Structured the application as a modern, maintainable system using REST-based communication between frontend and backend.
• Designed and developed a secure, scalable CPU monitoring architecture (cpu-watcher) with a dedicated collector application that streams monitoring data to the backend, reducing direct exposure of system resources.
• Designed a secure cloud infrastructure with the database isolated within a private network and OIDC-based authentication.
• Implemented Infrastructure as Code with Terraform and integrated version-controlled CI/CD pipelines to automate testing, infrastructure changes, and application deployments.
• Designed and implemented the frontend delivery architecture using AWS CloudFront.

Stack: Spring Boot · React · PostgreSQL · REST API · Docker Compose · Terraform · AWS

Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.

• Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
• Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
• Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.

Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI

• Self-employed since 2008 in planning, developing, and supporting custom software, web, and system solutions for clients as well as my own projects.

• Complete technical implementation of projects — from requirements analysis and architecture to programming, release, maintenance, and further development.

• Development of database-driven web applications, customer portals, admin interfaces, ordering processes, user and permission management, and custom backend functions.

• Design and development of REST APIs, webhooks, microservices, and interfaces to reliably connect different applications and external services.

• Implementation of numerous smaller services and automations for data processing, monitoring, notifications, recurring tasks, and technical business processes.

• Development of Telegram bots with the Telegram Bot API, including automated notifications, user interactions, status queries, and control of technical workflows.

• Programming native Android applications in Java as well as developing my own games and interactive applications with Unity.

• Development, extension, and modernization of existing PHP, Java, JavaScript, and MySQL applications, including error analysis, performance optimization, and adaptation of grown codebases.

• Setup and support of Linux-based server environments with Apache and Nginx, as well as management of databases, domains, DNS, SSL certificates, email services, access rights, and backups.

• Development of browser-based automations with Selenium for data collection, checking, and processing of recurring workflows, reducing manual steps and making processes more reliable.

• Independent implementation of complete platforms and web projects, including devpraxis.de, hq-smm.com, and socialboost24.com.

• Many years of technical project support with responsibility for troubleshooting, maintenance, further development, documentation, and stable operation of production systems.

• Quick onboarding into existing applications and unfamiliar codebases to analyze technical problems in a structured way and implement practical, long-term maintainable solutions.

• Direct coordination with clients, clear explanation of technical topics, and independent implementation of agreed requirements.

• By combining software development, automation, and system administration, many tasks can be handled completely from a single source, which reduces coordination effort, technical dependencies, and processing time.