Engineering Managers in Germany

• Responsibilities:
• Collaborate with Product Owner to define functional and technical requirements
• Quarterly Roadmap definition with Executives and Product Owner
• Fix bug and develop new features in Go and Typescript
• Manage and mentor full stack engineering team
• System Design in a micro-service environment
• Guarantee application security
• Improve engineering efficiency and deliverable quality
• Support automation with agentic-AI workflow
• Achievements:
• Improved security and data privacy awareness in the team with workshops around best practices, security measures and attacks types
• Conceptualized, designed and successfully released a new real-time chat application for our partners improving partner/company relationship and collaboration efficiency in Go and Typescript
• Reduced meeting hours for engineers by restructuring projects preparation workflow in collaboration with product team

• Partner directly with C-level leadership (CEO, CAIO, CTO) on architecture, OKR strategy, and cross-team roadmap prioritization, translating strategic goals into structured engineering requirements.
• Surfaced and mapped technical debt across the entire organization with C-level leadership and co-defined a prioritized remediation strategy, balancing debt paydown against feature delivery.
• Led code reviews and technical standards across the team, fostering a mentor-first environment with two-way feedback dialogue — pairing on complex pipeline work and unblocking junior engineers on async architecture patterns.
• Re-architected the AI companion's core processing pipeline from synchronous to asynchronous with a queue-based worker architecture, enabling horizontal scalability and cutting upload processing time ~4x (from ~22s to 5–10s) while improving response accuracy.
• Designed an AI-driven document intelligence workflow with automatic multi-document classification, per-document summarization, and relevance guardrails for the patient care journey.
• Built a unified patient memory system (short- and long-term context) bridging the document vault and chatbot into a single bidirectional, context-aware platform.

Strategic technology leadership and architecture consulting.

• Fractional CTO & interim management for startups, scale-ups, and enterprises – technical strategy, team building, architecture oversight, and delivery.
• Architecture consulting on cloud-native, distributed, and event-driven systems: reviews, design partnerships, and ongoing advisory.
• Event-driven architecture training – a hands-on 2-day course for engineering teams
• Conference speaker on distributed systems

• Held direct line management responsibility for a team of 4 Platform Engineers — owning hiring, performance reviews, and career development — while establishing a shared engineering standards framework and coaching culture that accelerated delivery across client engagements.
• Led a team of engineers to architect a cloud-native voice AI system for a major inspection client, enabling 2,500 field inspectors to document work fully hands-free via real-time transcription and AI agents — eliminating manual data entry across 440,000 inspections per month and reducing per-user cost from $9 to $1. Stack: AWS (DynamoDB, S3, Transcribe, CloudFront, API Gateway, Bedrock), ElevenLabs, Claude.
• Led a team of engineers to automate multi-region Kubernetes cluster management for a global SaaS leader, reducing provisioning time from 3 weeks to under a day and eliminating 90% of configuration errors. Stack: EKS, Terragrunt, Python, Bash, ArgoCD.
• Accelerator - Cloud-Agnostic AI Platform: Architected and delivered a cloud-agnostic, Kubernetes-native platform as an accelerator, enabling multi-tenant, enterprise-scale management of self-hosted LLMs with concurrent deployment of multiple base models and dynamic LoRA adapter serving. Designed production infrastructure using open-source tooling (ArgoCD, Karpenter, vLLM, SGLang) with automated model lifecycle management, API security (Keycloak + LiteLLM), and cost-optimized GPU provisioning.

OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.

• Interim Teamlead to setup a project with STM32 and NORA Bluetooth module.
• Customer is planning new hardware to replace existing hardware with Bluetooth communication instead cable connection.
• Project was already started but the requirements were not defined.
• System based on STM32 and Nora B106 CPU.
• Analyzing the existing available code base.
• Checking for possible solutions to get the project working.
• Defining the requirements.
• Applying some rules to improve the team communication.
• Working with the NRF tools to get the custom board based on NORA B106 (NRF5340) working.
• Implementation of a simple device communication by Bluetooth.
• Preparation of documentation.
• Leading communication meetings.
• Conducted discussions with customer.
• Tools used: JIRA, OneNote, Git, Confluence, Nordic NRF, Nora B106.

• Process optimization and automation

• Development and documentation of savings potential to reduce manufacturing costs

• Analysis of production processes to identify weak points

• Coaching the Engineering department to improve ways of working and lean philosophy

• Elimination of work steps with annual savings of approx. €150k

• Increase in machine shift output from 3,600 to 4,250 pieces (18%)

• Increase in shift output of two machines from 105 to over 120 pieces (14%)

• Preparation for the integration of automated 100% inspections and laser marking into the machine process

• Material optimization to stabilize machining processes

• Strategic project development, realisation, and implementation with internal and/or external development team
• Multi stakeholder management
• Planning new projects, cost calculation, risk calculation
• AI project for the electrical components production
• Building management systems integrations (BACnet, Modbus, etc)
• Inhouse BACring system architecture and development (control system for fire protection and smoke extraction systems)
• Inhouse MES system architecture and development
• Project management
• Agile-SCRUM project development
• Solution architecture and processes analytics (UML)
• Business application development
• Jira project management
• Reporting and documentation
• Recruitment process for the IT staff
• Software architecture, project development, costs, risks
• Education IT staff (internal and external)
• Responsibility for 5 development/DevOps/QA teams

• Led IT project for building an in-house loyalty program for REWE and PENNY as a multi-tenant system to leverage IT synergies
• Executed full REWE Group implementation on cloud services
• Integrated loyalty functions into REWE and PENNY apps
• Oversaw expansion of PAYBACK and migration of customers to the new program

• Building a full-stack e-commerce product using AI-assisted development, deliberately returning to hands-on engineering to validate how AI changes software development workflows and team dynamics.
• Exploring VP Technology, Head of Engineering, and Director of Engineering opportunities where hands-on AI experience meets organisational scaling expertise.
• Open to advisory conversations on AI-augmented engineering teams, technology strategy, platform architecture, and organizational design.
• No registered business. No commercial activity.

• Built and scaled a 35-member engineering team (Core Engineering, QA, and SRE) in 12 months, accelerating Midnight’s blockchain development on Parity’s Substrate framework.
• Defined strategic direction and aligned technology development with business objectives as a key member of the leadership.
• Optimized software development processes and implemented agile methodologies, enhancing operational efficiency and code security.
• Delivered projects in a fast-paced startup environment through effective project management and resource allocation.

• Direct the entire engineering lifecycle of CCUS projects, from feasibility studies and Front-End Engineering Design (FEED) through detailed design, construction, commissioning, and start-up.
• Develop comprehensive project scopes, budgets, schedules, and resource plans, ensuring alignment with strategic goals.
• Monitor project progress, proactively identify and resolve technical issues, ensuring on-time and within-budget project completion.
• Coordinate extensively with internal stakeholders, including Plant Operations, Environmental, Health, and Safety (EHS), and Research & Development (R&D) teams.
• Manage external engineering contractors, technology providers, and consultants, ensuring contractual compliance and performance.
• Provide deep technical expertise in various CCUS technologies (e.g., post-combustion, oxyfuel), CO2 compression, transportation, utilization, and storage.
• Evaluate and select optimal CCUS technologies for specific cement plant applications, considering factors such as technical feasibility, cost-effectiveness, and environmental impact.
• Develop and review engineering designs, specifications, and industry standards for CCUS systems.
• Ensure strict compliance with relevant international industry codes, standards, and regulations.
• Stay abreast of the latest CCUS technology developments, identifying opportunities for innovation and improvement.
• Collaborate with the company's sustainability team to align CCUS projects with overall carbon reduction goals and strategies.
• Engage with external stakeholders, including government agencies, research institutions, industry associations, and local communities.
• Support the development of strategic partnerships and collaborations with technology providers and other organizations.
• Develop and implement robust risk mitigation strategies across all project phases.
• Champion safety as a top priority in all CCUS project activities, ensuring adherence to best practices.
• Share lessons learned and best practices from CCUS projects across global operations, contributing to company guidelines.
• Key CCUS Projects (FEED Phase):
• GeZero (Geseke, Germany): Leading the Front-End Engineering Design (FEED) for Germany's first inland cement plant with industrial-scale carbon capture (700,000 tonnes CO2/year), including oxyfuel technology and rail transport solutions.
• Padeswood (North Wales, UK): Front-End Engineering Design (FEED) for the UK's first net-zero cement facility, aiming to capture 800,000 tonnes CO2/year via post-combustion technology and pipeline storage with the HyNet North West cluster.

• Led the engineering organization with 25 employees across series development, order engineering/master data, documentation, and project management/certification
• Managed an annual budget of €2.5 million
• Restructured the department by merging teams, streamlining processes, and significantly increasing overall efficiency
• Established a dedicated project management & certification department, enabling successful audits (including 3A) and completion of long-standing development projects
• Drove platform and product standardization, reducing complexity and increasing scalability across the portfolio
• Reduced lead times by up to 60% through modular design principles, process optimization, and industrialization efforts
• Built a high-performing R&D team from the ground up and successfully launched two new products within the last two years
• Lowered employee turnover from 24% to below 5% during restructuring by implementing a new leadership culture, clear responsibilities, and targeted talent development

• Projects for federal networks (NdB).
• CR management, EoL change requests, design and documentation according to ITSCM.
• Data center planning.
• Project management and engineering subproject management.
• Software development for virtual server environments according to BSI.