SBOM Experts in Germany

• Technical leadership across hardware, firmware, and software teams; scope: hardware/firmware team (4 people) and leadership group (5 people)
• Consolidated and documented a product family that had grown over more than 15 years and aligned it with CRA compliance — from the bare-metal I/O module to the cloud interface.
• Provided the most important customer product with the essential requirements and architecture documentation within two months — for a firmware landscape that had grown over more than 15 years. It now supports the customer’s modernization strategy.
• Established a monthly reporting line to the supervisory board and executive board within three months: nine meetings since 12/2025. The report itself is versioned and built from the CI pipeline; it is based on automatically collected activity and release data instead of assessments.
• Built a container-based CI/CD infrastructure from scratch: cross-compilation, host tests, and documentation builds in one continuous pipeline.
• Introduced declarative QA gates for DevOps and development artifacts — from the start using lefthook instead of pre-commit, executed in a dedicated container image.

Technologies used: arc42, req42, tpo42, docToolchain, PlantUML, ArchiMate, C4 model, ADR, C, C++ (GTest), CMake, Bare Metal (ARM Cortex-M3/M7), OCI containers, Jenkins, lefthook, Prometheus, Grafana, SBOM, CRA, OPC, SCADA, PLC integration, IPv6 migration, Zero Trust, Sociocracy 3.0, Cynefin

UEF 3.0 · Semantic Government Overlay (SGO) · Autonomous Systems (UAS / dual use)

• Designed: Semantic Government Overlay (SGO) – AI-guided administration without replacing existing specialist procedures. Read-only semantic layer over registers and specialist processes based on the Federal Information Management (FIM). Decision authority remains with the case worker (architecture principle).
• Developed: Reference architecture with source-backed, derived statements (Executable Ontologies OWL/RDF/SHACL). Technically guaranteed purpose limitation and no-write-path principle in specialist data – auditable, without a central data pool.
• Anchored: Regulation as a design principle: EU AI Act (high-risk obligations for public-sector AI, fundamental rights impact assessment under Art. 27), GDPR, NIS2, and administrative automation limits (§ 35a VwVfG, § 31a SGB X) as technical control points in the architecture.
• Created: Methodical tool for pilot organizations: data pipeline assessment (phase 0), compliance blueprint, and management summary as a decision-ready package for public administration.
• Specified: UEF 3.0 as a successor architecture to TOGAF – decision paper, canonical ontology, six-layer architecture, read/actuate boundary, federation registry, terminology concordance, and release delta as a closed specification status.
• Architected: AI-native mission OS for autonomous UAS and ground robotics as a tactical layer on top of a separately approved autopilot. Run-time assurance according to ASTM F3269-21 (Simplex pattern): the verified safety controller keeps authority, the AI function provides suggestions.
• Designed: Three-tier architecture – Tier 0 autopilot with 650 Hz flight control on RTOS, Tier 1 AI OS with semantic world model and multi-agent cluster, Tier 2 swarm and ground mesh. Zenoh as the primary fabric, MAVLink as the only authenticated command path (single writer). Result: graceful degradation – loss of the mission, not of the aircraft.
• Secured: Two-gate chain on the read/actuate boundary – governance gate (can-question: AI Act risk class per actuation, enforced human oversight under Art. 14, immutable log) before the RTA safety monitor (is-it-correct question: flight envelope, geofence, energy reserve) with revert to the baseline controller.
• Anchored: Dual-use architecture with common core and build-time fork instead of runtime switch. Three separate legal levels: civil variant – UAS under the EASA Basic Regulation (EU) 2018/1139 with the limited applicability under Art. 2(2) of the AI Act, ground robotics under the Machinery Regulation 2023/1230 with the full high-risk obligation chain, Cyber Resilience Act for both; unarmed carrier variant as defense material under AWG/AWV and Dual-Use Regulation 2021/821 (BAFA approval); armed variant under KrWaffKontrG. Each variant lives under exactly one dominant legal regime. Evidence base: AI BOM, SBOM, and complete data lineage.
• Analyzed: System analysis and realignment of grown engineering system landscapes. Approach concept for consolidation without migration – semantic layer over the existing sources instead of data transfer. Result: decision-ready implementation concept including an evaluation model for the target architecture.

• PRISMA project
• Ansible automation
• Windows third-level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019

Conceptual design and implementation of a modular customer portal based on Laravel.

The focus was on defining a maintainable system architecture with broad use of Domain-Driven Design principles (within the Laravel architecture), introducing automated quality assurance processes (test strategy, CI integration), and preparing an auditable operation (logging, traceability of changes) in an AWS-based infrastructure, taking IT security standards according to NIST and process requirements according to ISO 9001 into account.

Achievements:

• Analysis and structuring of business requirements in close coordination with stakeholders
• Documentation of the system architecture and infrastructure incl. change and release management
• Design and implementation of an interface for integrating SAP systems
• Planning and implementation of automated tests for quality assurance
• Implementation of security and compliance requirements, including SBOM generation, software license management, and QA processes
• Technical consulting and support for the internal IT team
• Introduction and establishment of AI-supported development processes (Spec-Driven Development), including AI-readable specifications, integration of AI instructions into the development environment, and training developers for productive use

Technologies and tools: SAP, Docker, ddev, PHP 8.4, Laravel, Filament, C4 Model, Architecture Decision Records (ADR), Mermaid, PlantUML, Spec-Driven Development, Claude, GitHub Copilot, Codex

• Technical lead for CI/CD modernization in the "Group Archive 4.0" system
• Architecture and steering responsibility according to the statement of work
• Setting up modern build and deployment processes
• CI/CD coaching and enablement of the internal development team
• Integration of modern DevOps, security, and compliance standards
• Ensuring technical governance, including collaboration with internal audit and BaFin
• Independently executing the modernization measures
• Supporting the team in adopting new technologies and methods

• Regulated environment within a German banking group (approx. 8,500 employees, hybrid cloud strategy).

• Responsible for operating, provisioning, and continuously securing business-critical platforms – including a GenAI chat application, a big data/AI platform, and data science workspaces based on Azure Virtual Desktops and VMs. Ownership of Azure DevOps projects for ShaiHulud and React2Shell, as well as BSI alerts – Security Operations improvements across the SDLC.

• Deployment responsibility for the GenAI chat application, big data/AI platform (BDAI), and data science workspaces (AVD/VM-based) in the respective landing zones.

• Deployment & release management: end-to-end responsibility for deploying portal and service applications across multiple Azure landing zones, including technical approvals, compliance with development team deployment guidelines, and ensuring ITIL-based change and release processes via ServiceNow.

• Azure landing zones & network architecture: design, provisioning, and operation of Azure landing zones for 3-tier web applications with enhanced network segmentation, VNet peering, hub-and-spoke architectures, private endpoints, and firewall integration across separate subscriptions and tenants.

• Azure DevOps governance & operations: ownership of the Azure DevOps organization, including projects, repositories, and CI/CD pipelines; implementation of governance requirements such as branch policies, approval gates, permission models, and audit-ready operating structures.

• Infrastructure as Code (Terraform): design, implementation, and operation of a modular Terraform architecture for standardized cloud infrastructure deployment, including state management, provider versioning, reusability, and policy-as-code approaches.

• CI/CD pipeline engineering: design, operation, and optimization of complex YAML-based CI/CD pipelines with multi-stage deployments, template standardization, self-hosted agents, integrated secret management, and automated quality and security checks.

• Git migration & platform consolidation: planning and execution of repository and pipeline migration from Azure DevOps to GitLab CI/CD, including automated scripts, full Git history transfer, pipeline porting, and platform consolidation.

• Container & platform operations (AKS): operation and security assessment of containerized workloads on Azure Kubernetes Service, centralization of on-premises container registries for ACR.

• OpenShift (OCP) security reviews: security assessment of code baselines, build pipelines, and deployment processes for on-premises OpenShift clusters with critical applications, and derivation of specific hardening recommendations.

• Shift-left security & DevSecOps transformation: introduction of a company-wide shift-left approach for early security integration in development and deployment processes, enabling developers to perform self-led security checks and sustainably reduce vulnerabilities before production (IDE integrations, pre-commit hooks, local scanners).

• Software supply chain security: analysis and mitigation of supply chain risks in NPM- and Yarn-based applications through dependency audits, CI/CD pipeline hardening, token rotation, and restriction of risky build and lifecycle mechanisms.

• Frontend & framework security (React / Next.js): security assessment and coordination of critical vulnerability remediation across platform applications and web frameworks, including coordination and complementary technical mitigations with all teams following BSI alerts.

• Software composition analysis (SCA): introduction and operation of automated vulnerability scans for container images, pipelines/artifacts, and third-party dependencies, including SBOM exports within CI/CD pipelines.

• SAST/DAST integration: design and piloting of static and dynamic application security tests in close collaboration with security architecture and development teams, for continuous improvement of code and runtime security, and establishing operational acceptance tests.

• Artifact & registry consolidation: analysis and consolidation of all package and container repositories for service applications and AKS workloads, aiming for a centralized, secured registry strategy with centralized vulnerability scanning and governance.

• Dependency-Track & SBOM strategy: advising the compliance board on introducing a central SBOM and vulnerability management platform to increase enterprise-wide dependency transparency and accelerate CVE response capability.

• CI/CD pipeline hardening: security analysis and cleanup of the existing pipeline landscape by removing unused pipelines, improving secrets hygiene, implementing least-privilege principles, and isolating build agent environments.

• Azure Web Application Firewall (WAF) optimization: analysis and tuning of existing Azure WAF rules (OWASP Top 10 Core Rule Set, DSR/SDC, custom rules) to defend against known vulnerabilities and exploit patterns, including reducing false positives and improving threat detection.

• Documentation & stakeholder communication: creating and maintaining technical documentation, runbooks, and architecture overviews in Jira and Confluence, as well as active knowledge transfer between operations, development, security, and compliance stakeholders.

• Successful implementation of vulnerability management with DefectDojo
• Consulting and implementation of technical and process-related aspects of vulnerability management with DefectDojo
• Consulting on the implementation of a secure software development lifecycle
• Skills: Gitlab, DefectDojo, Vulnerability Management, SCA, SAST, DAST, Python, Kubernetes, ArgoCD, Docker, AWS, Azure, Whitesource/Mend, Greenbone

• Led the subproject for implementing Vulnerability Response as part of DORA
• Documented the current processes in compliance, risk & security
• Created the functional design for introducing application, infrastructure, and cloud vulnerabilities
• Agile management of the integration service provider, the technical department, and the company's cross-functional teams
• Integrated the V scanners Tenable, Qualys and Defender, as well as NVD and CISA/KEV
• Integrated GitLab Ultimate for importing and processing SBOMs
• Developed automation rules to match scan results with CIs in the CMDB, assign vulnerabilities and remediation tasks, handle approvals (false positives, exceptions) and closures
• Calculated multiple risk scores and priorities
• Defined dashboards and reports (Workspaces, Performance Analytics)
• Aligned the new processes, especially to improve the CMDB data quality (according to CSDM)

• Analysis and further development of the security architecture.
• Design and development of Splunk apps and technical add-ons (TAs).
• Development and implementation of security use cases in the Splunk SIEM.
• Creation and maintenance of incident response playbooks in Cortex XSOAR.
• Support of technical proof-of-concepts to assess new detection technologies.
• Lifecycle management and operational support for Splunk and Cribl systems.
• Deployment and scaling of Splunk indexers in hybrid data center environments.
• Maintenance, update planning, and optimization of Cribl Stream & Edge for log ingestion and data routing.
• Creation of dashboards and reports to visualize security posture and system availability.
• Technical analysis to assess network topologies and data flows.
• Integration of new data sources via Cribl Stream/Edge and heavy forwarders in cloud and on-prem environments.
• Integration of external security components such as Cortex XSOAR (SOAR) and user behavior analytics (UBA).
• Implementation of complex correlation rules in Splunk Enterprise Security (ES).
• Connection of external ticketing systems via mail gateways and REST APIs.
• Automated deployment of use cases, dashboards, and detection rules via Git and Ansible.

• Testing the SekIDP and related components
• Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript

• Development of iOS apps in Swift
• AI-supported SW development using Vibe Coding with Claude Code
• Web applications through Vibe Programming
• Use of Swift, Xcode 15, Claude Code, Proxmox, GitLab, Visual Studio Code, Cursor, Doors, ClearCase
• Use of MS Project, OpenShift, Docker, Project Server, PageMaker, CRM, MS SQL Server
• SW techniques: UML, BPMN 2.0, ERD, client/server technology

• Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
• Build pipelines for Go, Java and JavaScript
• Provisioning of 100+ components
• Quality assurance via GitLab Code Quality and SonarQube
• Checks for dependencies, licensing and vulnerabilities
• Release creation via Jira and ServiceNow
• SBOM, Supply Chain Security, distroless images
• PoC GitLab Runner: Nomad vs. Kubernetes
• Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman

• Fixing issues in the application logic

• Covering the changes with component tests

• Analyzing and documenting the data structure of the different applications

• Analyzing and documenting the parameters for configuring the applications

• Analyzing and documenting the necessary measures to ensure the operation of the applications

• Analyzing and designing the separation of the individual database structures

• Analyzing and estimating the effort for planned enhancements

• Analysis, maintenance and documentation of a heterogeneous legacy system landscape for a print media service provider

• Technology: C#, VB.NET, C, Python, Microsoft SQL Server, Visual Studio 2010, JetBrains Rider, Visual Studio Code, arc42, Draw.io, Jira, GitLab

• Developed internal tools using React, Node.js and Python for automating FOSS license analysis and compliance workflows
• Also served as an IP Analyst for IP Scans and SBOM management
• Contributed to SAP’s open source CI/CD project Piper (Golang), supporting engineering teams in integrating IP Scan steps into their pipelines