DevOps & AWS Cloud
AWS-focused infrastructure, Linux, operational workflows, automation and technical platforms.

DevOps · AWS Cloud · Automation · AI-assisted Software Engineering
I design and operate cloud infrastructure, CI/CD workflows and automation that make software deployments, ITSM processes and network operations more reliable.
Experience with AWS, GitHub/GitLab workflows, Kubernetes, Linux, network automation and AI-assisted engineering workflows.
Role Profile
I am especially well suited for roles where infrastructure, deployments and technical workflows should become more reliable, more traceable and more automated.
AWS-focused infrastructure, Linux, operational workflows, automation and technical platforms.
GitHub/GitLab workflows, deployment processes, build and release flows, and traceable changes.
Containerized environments, platform logic, operability and repeatable technical workflows.
Automation of ITSM, infrastructure and engineering processes, from classic scripting to AI-assisted workflows.
Network data, Source of Truth, Ansible, REST APIs and automation in day-to-day network operations.
Technical Focus
My work connects AWS-focused infrastructure, CI/CD, Kubernetes, ITSM workflows, network automation and AI-assisted engineering workflows. The common thread: systems should become easier to understand, more reliable and easier to automate.
AWS-focused infrastructure, Linux, containers, operability and the core building blocks of technical platforms.
Build, test and deployment flows with traceable workflows and clear handoffs into operations.
Automation of technical processes at the intersection of operations, service management and engineering.
Structured network data, interfaces and automation for understandable, reliable network operations.
AI-assisted development, technical analysis and automation of engineering workflows.
Case Studies
These project pages are intentionally anonymized. They show the problem, solution, technologies, outcome and lessons learned without exposing confidential operational details.
Repeatable network changes and queries with Ansible, REST interfaces and structured inventory data.
Outcome: Recurring network queries and changes were moved into smaller, verifiable automation steps.
Structured network data as a reliable foundation for inventory, operations, synchronization and automation.
Outcome: Network data was modeled more clearly and became a more reliable foundation for operations, documentation and automation.
Virtual network environment for relevant scenarios, tests and reproducible automation workflows.
Outcome: Technical assumptions could be tested in a more controlled way and documented workflows could be prepared more effectively.
Career Snapshot
The full CV remains available, but on the homepage the most important part is the connection: development, infrastructure, automation and operations come together into one clear technical profile.
EOS Technology Solutions GmbH · Hamburg
09.2022 – present
Current role focused on network automation, source-of-truth data, Linux automation and operational engineering.
Wunschgutschein GmbH · Brilon
01.2020 – 08.2022
Broad infrastructure role in a growing environment with focus on modernization, ITSM, monitoring and automation.
Contact
Relevant topics include AWS Cloud, CI/CD, Kubernetes, infrastructure automation, software deployments, ITSM workflows, network automation and AI-assisted software engineering.