DevOps Experts in Hanover

Cross-brand design system

Focus: Analysis of the causes of recurring layout deviations in design system components. The cause was the integration of visual regression tests (BackstopJS) into the build and approval process: deviations were not blocked, and reference images were replaced without approval.

Recommendations for a controlled workflow with mandatory approval and test results as a prerequisite for merging. Contributed to the successor system based on Lit/Web Components.

Technologies: Lit, Web Components, SCSS, Gulp, BackstopJS, GitHub Enterprise, JFrog Artifactory

• Took ownership of the full development lifecycle for various features, from design through coding, debugging, and production deployment, ensuring compliance with banking-grade reliability standards.
• Optimized SQL queries, reducing data-processing time by up to 50%, especially for large datasets handled.
• Developed and maintained automated tests using JUnit and Mockito.
• Utilized GitHub Copilot as an AI-assisted development tool to accelerate code generation, improve code quality, and increase development efficiency within the team.
• Resolved 90% of assigned production issues independently, often under tight deadlines, contributing to uninterrupted system availability.

• No project assignments accepted during this period
• Conducting coaching sessions, workshops, training sessions and moderation assignments

• Consulted on IT security and process optimization, focusing on NIS2 and risk requirements
• Troubleshot and optimized plant core networks using STP, certified hardware, and open-source components such as OPNsense
• Redesigned network segmentation for VLAN rollout in a hybrid multisite multicloud setup using Tailscale VPN
• Facilitated cross-departmental discussions to align technical and social requirements
• Optimized monitoring with Grafana, Telegraf, and SNMP configurations
• Prototyped network setup for a new plant, including VLAN separation with Tailscale VPN
• Automated various scenarios using Python and Bash scripting

• Implemented stereo camera calibration and applied incremental Structure from Motion (SfM) algorithms to build a detailed 3D model of a forklift for an AR-enabled Smart Forklift project
• Developed OpenCV-based preprocessing that improved data accuracy by 20% and enhanced the analysis of industrial videos

Concept and implementation of an AI phone assistant that handles incoming calls around the clock, processes them automatically, and passes them on to the responsible employees - including an analytics dashboard.

In this project, I support the software development of various modules of the supply chain management solution. My responsibilities include the technical implementation and optimization of collaborative SCM processes that help companies make their supply chains more efficient, transparent, and resilient. This modular software platform facilitates communication and Collaboration with suppliers is standardized and digitized, enabling seamless traceability of quality data and supplier evaluations. Technically, I focus on development with Go/Golang for scalable backend services and on the use of Kafka for real-time messaging and event processing. I design and extend GraphQL interfaces for efficient data communication between microservices and support automated build and deployment management using Docker and Gitlab CI/CD pipelines. Data is stored in the modules I work on using a PostgreSQL database.

Technical focus: Go/Golang, Kafka, GraphQL, Docker, Gitlab, CI/CD, DevOps, PostgreSQL, JIRA, Miro