DevOps Experts in Leipzig

As a project coordinator in development projects (consisting of software and hardware), I provide consulting support for creating recommendations for action and organizational frameworks in the areas of reporting, project scheduling, progress monitoring, resource allocation and results presentation.

• Technology stack: Teams, Azure DevOps, Android
• Keywords: Software, hardware, AI, MDM, Kanban, requirements specification, functional specification, SaaS, ergonomics, health, medical device

Goal: Coach a new agile team to implement and deliver the MVP of an AI-powered digital insurance service.

• Kicked off and coached a new cross-functional agile team as Scrum Master.
• Introduced a new Product Owner to the role with coaching, close collaboration and support with daily operations and backlog management in Jira.
• Facilitated the ideation, design and backlog creation process for the MVP, applying the appropriate tools and techniques (user journey mapping, impact mapping, story mapping, AI prototyping).
• Managed dependencies and impediments across multiple teams, resolving challenges rising from the use of both agile frameworks and traditional project management methodologies.
• Facilitated and supported planning and decision-making activities regarding the MVP delivery (roadmap creation, release planning, test management, translation of user feedback into product decisions)
• Continuously improved processes across multiple agile teams, closely collaborating with other Scrum Masters and cross-team roles (leads, architect, test manager).
• Designed and facilitated in-person and remote workshops as needed across multiple teams (agile practices, problem solving, process improvement, AI powered product development).

• Extension of OSGi modules in a complex communication solution
• Debugging communication with Wireshark and remotely in the JENS test environment
• Migration of tests from TestNG to JUnit 5 with Mockito and AssertJ
• Updating vulnerable dependencies and improving code quality
• Changes to the Vaadin frontend
• Increasing test coverage

• Acted as product owner for comprehensive change of Confluence permission structure
• Introduced agile routines within the team
• Identified team competencies and created user stories
• Collected and analyzed stakeholder requirements
• Translated business requirements into technical specifications
• Created and maintained requirements documentation
• Analyzed current state and defined goals collaboratively
• Identified and resolved blockers and impediments
• Coordinated with business and product owners
• Facilitated solutions and workarounds
• Established the roadmap and ensured timeline adherence
• Provided continuous reporting to the business owner
• Created a compliance-compliant project framework
• Built and maintained a compliant documentation framework
• Established and maintained a decision log
• Developed technical requirements with regulatory considerations
• Aligned with data security and legal department to set project principles
• Managed stakeholders at C-level and compliance responsibilities
• Developed video content and training materials
• Coordinated ITSM Atlassian Service Management inquiries
• Presented the project to diverse stakeholders in German and English
• Prepared, conducted, and followed up on open Q&A sessions in German and English
• Produced user-friendly instructional materials and interactive training documents

• Built an internal AI recruitment assistant (Python, LangChain, Claude API) and deployed it into the team's Greenhouse workflow: automated candidate screening, structured interview-feedback extraction from transcriptions, and comms across high-volume DACH/EMEA GTM pipelines. Scoped the need with TA/GTM leadership, shipped the tool, and drove day-to-day adoption, the same loop a forward-deployed engineer runs at a customer site.
• Led ATS migration from Personio to Greenhouse across the whole team: data model, migration, and team adoption.
• Ran discovery-style intake calls translating vague requests ("we need someone senior for Italy") into structured requirements, the muscle a forward-deployed engineer uses to scope a customer deployment. 80%+ offer acceptance, ~120% of quarterly targets. Discovery and delivery in EN, DE, ES, FR.

• Implementation of an API for customers to provide NFS shares in the cloud
• Creating Kubernetes operators and services with REST APIs in Go
• Using LinuxKit for provisioning VMs

Further development of a software solution for managing test requests and test notifications according to §106d SGB V for the Hamburg Association of Statutory Health Insurance Physicians.

• Developed numerous features, performance optimizations, refactoring, error analysis
• Refactored the dev container setup
• Optimized the GitLab CI build pipeline
• Contributed optimizations to the team workflow

• Tech-Stack: Python, Qt, tensorflow.js, plotly, Angular, TypeScript, HTML, CSS, Git

• Rule-based software for managing, planning, and providing promotional materials in the pharmaceutical industry

• High performance, high availability

• Fullstack, DevOps (CI/CD)

• Python, PostgreSQL, Vue.js, Typescript, Docker, Docker-Compose, Nginx

• Successfully transformed old Excel-based processes into an optimized product that has been in production since 2024

• training and official certification as Certified Kubernetes Application Developer
• open-source development and documentation in a personal project
• keeping updated about cloud native and AI technologies through courses and books
• Tech: Kubernetes, Docker, Typescript, Node.js

• Led the development of a complex geospatial data platform, engineering an end-to-end system for processing and analyzing high-resolution aerial imagery.
• Engineered a scalable backend responsible for on-the-fly map tile serving and running complex data analysis queries using PostGIS and Python.
• Developed and trained custom computer vision models using Python, PyTorch, and YOLOv8 to perform object detection and segmentation on large-scale datasets.
• Built modern, responsive user interfaces and data visualization dashboards using Next.js, TypeScript, and React.
• Gained practical expertise in geospatial libraries such as GDAL and Rasterio for processing and manipulating raster and vector data.
• Managed the entire project lifecycle, from initial technical architecture and database design to final deployment using Docker.

• API-first product design (OpenAPI 3, HAL) and development (NodeJS)
• Setting up DevOps pipelines with GitHub Actions in an AWS architecture
• Technologies: OpenAPI 3, REST, HAL, NodeJS, JavaScript, TypeScript, AWS, AWS Lambda, Docker, GitHub Actions

• Agile software development in an interdisciplinary environment

• Cross-team collaboration to achieve important milestones

• Independently developing new and improving existing features

• Estimation, refinement, implementation, and presentation

• Finding solution ideas, analyzing problems, rolling out bug fixes

• Writing automated tests, manual testing, log and error analysis

• Ensuring high availability, fault tolerance, and scalability of the production environment

• Rolling out releases and multi-stage infrastructure

• Setting up alerts and monitoring

• Pair programming, code reviews, documentation

• On-call duty, 3rd level support

• Event-Driven Architecture, Clean Code, Hexagonal Architecture

• Microservices based on Go (Gin), Java 21 (Spring Boot 3), Python (FastAPI)

• Terraform/OpenTofu, KQL, SQL, JSON, REST, Helm, ArgoCD, AzureCLI, K9s, OAuth2

• Postgres, Redis, Kafka, Azure EventHub, Kubernetes, nginx, Ingress

• AppInsights, LogAnalytics, OpenTelemetry, Datadog, OpenAPI 3, Swagger

• Azure DataExplorer, Storage, KeyVault, Container Registry, Azure Functions,…

• Junit5/Jupiter, testify, RestAssured, Docker Compose, Wiremock

• IntelliJ, Scrum, Kanban, Teams, Confluence, OpsGenie, Arc42

• GitHub CI/CD, GitLab CI/CD, Azure DevOps

• EV charging protocols (EVSE, OCPP, V1G, V2G)