Engineering Managers in Berlin

• 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

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.

• 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.

• 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.

• Shipped Memorable, a production iOS app using on-device CLIP-based semantic photo search. Owned the full stack: Core ML conversion, local inference pipeline, App Store release, and post-launch iteration.
• Built a practical AI deployment framework that covers workflow redesign, use-case prioritization, system integration, eval planning, and human-in-the-loop controls.
• Conducting AI use-case discovery and advisory conversations with professionals in legal, tax, and real estate sectors.

• Leading engineering organization of 45 engineers across 8 teams while serving dual role as Head of Backend
• Addressed critical organizational challenges including siloed departments, lack of engineering processes, and absence of technical strategy
• Executed comprehensive engineering leadership in people management, organizational design, and strategic planning
• Drove platform modernization including migration to a new Python backend, implementation of React micro-frontends, and transition to event-driven architecture
• Established engineering excellence framework through Architecture Decision Records, RFC processes, and comprehensive technology roadmapping
• Transformed engineering into integrated business partner by building collaboration channels with Product Management and Customer Operations teams
• Reduced escaped bugs by 50% and increased test coverage in legacy systems
• Achieved 100% Q2 roadmap delivery through realistic planning and improved estimation accuracy
• Introduced AI engineering strategy, establishing policies, providing tools, and training team on prompt engineering and agentic workflows
• Saved €10k monthly through infrastructure optimization including AWS IoT to RabbitMQ migration and decommissioning legacy systems
• Improved team engagement from 60% to 100% survey participation and enhanced eNPS scores among team leaders
• Built high-performance team through strategic hiring of Python, Go, and frontend engineers and improved onboarding
• Implementing transition to self-organized cross-functional teams

• Planning, URS/requirements and stakeholder management for a new Greenfield QC building 4000 m²
• Project realization

• Reporting directly to the CEO.
• Responsible for all things in the engineering space including software engineering, architecture and quality assurance.
• Led a team of around 25 cross functional team members including frontend, backend and fullstack engineers.
• Aligned engineering strategies with organisation strategy through clearly identifiable OKRs.
• Introduced Team Topologies and Scrum, ensuring less hand-offs between teams and improving their efficiencies which resulted in more impactful solutions for our customers.
• Lead the technology due diligence process for an M&A decision.
• Spearheaded the re-architecture of our product from monolith to microservices, reducing technical debt and enabling expansion into new markets.
• Managed a budget of around €2m, optimising costs by introducing SaaS solutions and replacing homegrown systems.
• Negotiated vendor contracts, reducing costs by at least 10% and improving service delivery.
• Set clear expectations and goals for engineers ensuring their continued growth within the organisation.
• Technology stacks included React, Node.js, MongoDB and GCP.

• Led engineering execution: roadmap planning, capacity alignment, risk management, dependencies, and delivery tracking.
• Consolidated multiple payroll product lines into a unified SaaS platform on Dynamics 365 Business Central, enabling scalable post-merger operations and reducing operational complexity across the portfolio.
• Restructured engineering and product teams in a remote-first setting across Germany, Austria and Poland, consisting of five cross-functional units: compliance/enabling, platform, DevOps and two stream-aligned teams with total FTE depending on phase of reorganisation.
• Rebuilt the mid-level leadership layer and mentored engineering leaders, establishing a leadership pipeline and strengthening architectural decision-making across teams for scalable growth, delivery ownership and predictability.
• Designed platform foundations and system boundaries using Team Topologies aligned structures, enabling scalable ownership, clear interfaces and parallel development across distributed teams.
• Spearheaded AI transformation by implementing AI-assisted SDLC practices using SpecKit and GitHub Actions for automated, executable specifications, while delivering agentic product capabilities by securely exposing platform data and services to AI agents and copilots via RAG-based retrieval pipelines and MCP-style extensions.
• Drove modularisation of tightly coupled legacy logic into independently deployable services, improving maintainability, testability and architectural clarity while preserving continuity through targeted, low-risk extraction rather than full rewrites.
• Established observability, CI/CD and DevOps governance as platform capabilities, increasing automated compliance gates from 25% to 75% and improving deployment cadence by 40% across 15+ product versions.
• Improved operational resilience using DORA-aligned practices (lead time ↓50%, SaaS MTTR ↓85%), strengthening reliability and reducing support overhead.
• Coordinated engineering recovery for the German payroll platform during a company-wide P0 ransomware incident; restored platform continuity within 72h, validated data integrity, and rolled out hardened runbooks and automated recovery playbooks.
• Responsible for budget compliance and cost oversight in Engineering, with limited P&L responsibility and participating in the annual COGS/OPEX/CAPEX planning cycle.

Geeks Ltd is a UK-based technology company; WordUp is its AI-driven language-learning product focused on personalized vocabulary learning and intelligent educational experiences.

• Coordinate AI product delivery across Product, Engineering, Data, Operations, and leadership, translating user needs into scoped initiatives, sequencing work, surfacing blockers, facilitating hand-offs, and communicating progress.
• Own search, recommendation, retrieval, and content-enrichment features end to end, from requirements and architecture through Python/FastAPI implementation, testing, deployment, monitoring, and rapid iteration.
• Developed low-latency retrieval, ranking, and personalization services using AWS, OpenSearch, DynamoDB, embeddings, and reusable APIs, achieving <1s latency, 22% higher engagement, and 12% higher premium conversion.
• Use AI coding assistants for codebase analysis, scaffolding, refactoring, tests, debugging, and documentation while reviewing every output for correctness, architectural fit, security, maintainability, and user value.
• Represent technical work in planning and stakeholder discussions, gather requirements first-hand, challenge priorities constructively, explain delivery trade-offs, and help teammates make outcome-focused decisions.