Distributed Systems Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Distributed Systems
Karen Manukyan
Last position:
Personal AI Engineering Project — Croky AI at Crocky AI
Product:
- Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
- Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
- Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
- Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
- Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.
Agent Orchestration & RAG Systems
- Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
- Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.
Waseem Sattar
Last position:
Solution Architect / Subject Matter Expert at FRMCS terminal device manufacturer
Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-life use cases: creation of the requirement specifications for TOBA as well as the associated test specifications.
Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS
Priyanka Sarang
Last position:
Business Consultant (Software Engineering) at Boehringer Ingelheim
- Developed cloud-native enterprise applications on SAP Business Technology Platform using Node.js, SAP UI5, and RESTful APIs, delivering solutions across training management, procurement, employee information, and logistics domains
- Served as the primary developer for the maintenance, enhancement, and production support of three enterprise applications, delivering new features, resolving production issues, and coordinating releases with business stakeholders
- Experienced in leveraging AI-assisted development tools such as Microsoft Copilot to accelerate feature development, generate code, prototype solutions, and support application migration and modernization
- Designed backend services, domain models, and SAP Fiori/UI5 interfaces, implementing business workflows, role-based access control, validations, scheduling, reporting, and data import/export capabilities
- Designed and integrated enterprise services with SAP SuccessFactors, SailPoint, ERP systems, and external Learning Management APIs, including automated synchronization for 11,000+ user data
- Designed and implemented AMQP-based event-driven services processing up to 500 RFID parcel scan events per day for a logistics application
- Managed deployments and application operations using CI/CD pipelines, SAP Solution Manager, SAP BTP Cockpit, Kibana, and cloud monitoring tools, performing root-cause analysis and resolving production incidents
- Managed application dependencies by resolving npm package version conflicts and remediating critical and high-severity security vulnerabilities, ensuring production compliance and application stability
- Collaborated with architects, business users, SAP governance teams, and distributed Agile teams throughout technical design, code reviews, sprint planning, documentation, and software delivery
Shamaila Mahmood
Last position:
MCP, Kubernetes, Helm, Docker, Terraform, Typescript, Java, SpringBoot, Go Lang, React at Kubekanvas
- Development of a browser-based platform for no-code deployment and cluster management in Kubernetes
- Implementation of a CLI tool in TypeScript to provision resources directly from the browser interface into the cluster
- Development of a expression parser in Go and delivery as a microservice to extract Helm expressions from values files
- Use of LLMs to turn user intent into Kubernetes diagrams
- Technology stack: Java, Go, OpenAI API, React, Azure, Next.js, Strapi, Stripe Connect
Yusuf Congar
Last position:
Senior Software Engineer at LeiKon GmbH
- Development of scalable backend applications with C#/.NET and Java
- Design and implementation of distributed microservice architectures
- Development and integration of REST APIs for industrial applications
- Development of modern web applications with React, Angular, and TypeScript
- Implementation of MQTT-based communication solutions
- Integration of industrial protocols such as OPC UA and Modbus TCP
- Development of batch, process control, and HMI components
- Containerization and deployment of applications with Docker
- Conducting code reviews and supporting architecture decisions
- Close collaboration with product owners, QA, and interdisciplinary teams
- Analysis of business requirements and implementation of technical solutions
- Further development of existing software architectures with a focus on maintainability and performance
Technologies: C#, .NET, ASP.NET Core, Java, C++, React, Angular, TypeScript, Vue.JS, MQTT, OPC UA, Modbus TCP, Docker, GitLab, MariaDB, MySQL, Linux
Tamás Eppel
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Ajay Chodankar
Last position:
Software Engineer & Cloud AI Developer at TANGILITY GmbH
Built Python-based AI microservices and integrations for an AEC/VR Unity-based SaaS app, focusing on LLM/VLM capabilities, retrieval-backed systems, RESTful APIs, containerized deployment, and an automation microservice for the CAD-to-Unity pipeline.
- Developed a custom Hybrid A* based algorithm in C# to simulate hospital scenarios and detect early-stage design conflicts from collision/spatial data and generate structured reports.
- Solved and automated the time-consuming problem of converting CAD files to usable Unity environments with a custom-engineered and real-time pipeline using a ZeroMQ-based communication layer to distribute workloads across multiple processes and achieve real-time performance.
- Built a Dockerized FastAPI pipeline for CAD-to-Unity automation, combining vision-based object matching, image embeddings, and precomputed metadata to automatically map CAD objects to Unity behavior scripts, assign properties, and reduce repeated AI inference calls.
- Created documentation and examples to help technical users understand, configure, and extend the AI automation pipeline.
Tymofii Sukhachov
Last position:
Senior Backend Developer at Medavis
- Developed backend features for Modern RIS, a web-based Radiology Information System integrated with the existing Classic RIS via WebView.
- Worked on a modular Spring Boot backend covering clinical workflows such as appointments, examinations, patients, orders, reporting, billing, and inventory.
- Contributed to event-driven architecture using domain events to decouple workflows across backend modules.
- Implemented REST/OpenAPI endpoints, service-layer business logic, DTO mapping, validation, and integration points for the React frontend.
- Worked with PostgreSQL-backed domain models, Liquibase database changes, read/write model separation, and legacy RIS database structures.
- Integrated authentication and authorization flows using Keycloak and OAuth2.
- Added and maintained unit/integration tests using JUnit, Rest Assured, Testcontainers, and project-specific test utilities.
- Supported CI/CD and local development workflows using Maven, Docker Compose, Jenkins, and generated OpenAPI clients.
Tech stack: Java 21, Spring Boot 3.5, Maven, PostgreSQL, Liquibase, Keycloak, OAuth2, REST, OpenAPI/Springdoc, MapStruct, Lombok, Docker, Testcontainers, Jenkins.
Artyom Narimanyan
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Deepak Mishra
Last position:
Lead ML Platform Engineer at Billie GmbH
- Mentor team of 6 ML platform engineers through weekly 1:1s, technical design reviews, and best practices, improving team velocity by 35% through structured sprint planning and skill development programs
- Define 2025–2026 ML platform roadmap in collaboration with Data Science, Cloud Engineering, and Product teams, prioritizing automated model governance, cost attribution systems, and multi-environment deployment strategies
- Partner with Data Science, SRE, and Product stakeholders to align ML platform capabilities with business objectives, reducing data scientist deployment friction by 60% through self-service platforms
- Architect and deliver production-grade MLOps platform supporting 50+ models in production with automated promotion pipelines, versioning, and rollback capabilities, achieving 99.5% platform uptime SLA
- Design distributed ML pipeline architecture using Metaflow and Argo Workflows (Vertex Pipelines-compatible), reducing model training time by 30% and deployment cycles from 2 weeks to 3 days through full CI/CD automation
- Build containerized ML services on Kubernetes with auto-scaling policies, resource quotas, and multi-tenancy isolation, optimizing infrastructure costs by $180K annually (25% reduction)
- Implement monitoring, alerting, and performance tracking using Prometheus, Grafana, and custom instrumentation, reducing model debugging time by 50% and establishing model performance SLOs
- Lead development of RAG-based document intelligence platform using LangChain, LangGraph, and vector databases, implementing agentic AI workflows for automated financial document processing
- Implement Infrastructure-as-Code using Terraform for reproducible environment provisioning and GitOps workflows, reducing infrastructure drift incidents by 80%
- Design role-based access control for ML platform, implement model lineage tracking, and establish audit trails for regulatory compliance aligned with enterprise IAM best practices
Tezcan Dilshener
Last position:
Solution Architect / Project Manager at German Football Association
- Overall responsibility for the project lifecycle from scope definition to completion
- Close collaboration with platform teams, IT leaders, and external service providers
- Application of SAFe principles and structured sprint work
- Creation of a migration roadmap with clear milestones
- Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
- Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
- Regular status reports and running knowledge transfer sessions
Cristian Lascu
Last position:
Founder & Principal Consultant at Kairox Consulting
Interim · Transformation & Project Leadership*
Overall project leadership for transformation and AI initiatives: project setup, management of internal subprojects and external work packages, governance, and handover into regular operations.
Hands-on with Microsoft 365, Copilot, and agentic AI; productive use of M365 for AI, automation, and digital processes.
Guido Bäcker
Last position:
Independent Management Consultant and Interim Manager at BCTC Unternehmensberatung Guido Bäcker
Consulting, training, and coaching in the financial sector on strategy, organization, and IT topics
MorgenFund: Advising the operator of a fund platform on software selection for a sub-ledger "Cash Accounts" based on Virtual IBANs (VIBAN)
Structuring requirements, market screening, creating RfIs, communicating with vendors, and conducting the selection process
UniCredit/HypoVereinsbank: Workstream lead "Booking and Customer Reporting" in the payment transformation project "PULS"
Business analysis, creating business requirements and aligning solution items as part of the functional specification with the bank's IT service providers
Business analysis of SEPA CT and SWIFT MX (.camt, .pain, and .pacs formats), change management, team lead for a virtual team of fifteen line experts, and stakeholder management
equensWorldline Germany: Program management for three projects of the SWIFT service bureau (CBPR+, ESMIG, and Euro1Step1 migration) as part of the SWIFT MX migration
Managing individual project managers regarding overarching goals and requirements; reporting to internal and external committees and stakeholders; coordinating with dependent projects and programs
Project management/PMO: interim project management, stand-in for project managers, resource planning, budget and cost management, general PMO tasks
Damian Śniatecki
Last position:
CTO at FRATCH.IO
- Managed end-to-end product development, overseeing the successful delivery of technical solutions.
- Led and mentored a team of highly specialised technical professionals, fostering a culture of collaboration and innovation.
- Oversaw the hiring process to build a talented and dedicated team.
- Built a scalable and robust backend microservices system from scratch, designing and extending it to meet evolving business needs.
- Ensured the system's high availability with a 99.99% up time, implementing resilient architecture and monitoring mechanisms.
- Developed and implemented technical strategies, aligning them with business goals and objectives.
Stefan Amann
Last position:
Sole Architect and Developer at Bauernhof-Eis Stangl GbR
Design and implementation of a compact ERP, CRM, accounting, and production-planning platform for a German food manufacturer. The system replaces Rechnung11, self-built Excel sheets, and manual processes for fewer than 10 internal users.
- Designed and implemented the full platform architecture as sole architect and developer.
- Built modules for customer management, B2B order handling, invoicing, production planning, and accounting support.
- Implemented DATEV export, ZUGFeRD/XRechnung e-invoicing, FinTS bank statement synchronization, and GoBD audit trail concepts.
- Used AI-supported workflows for prototyping, test support, and implementation acceleration while retaining full architecture, review, testing strategy, and technical ownership.
Technology: Java 23, Spring Boot 3, Spring Data JPA, Spring Security, Vue 3, TypeScript, PostgreSQL, Flyway, REST, OpenAPI, JWT, TOTP, RBAC, DATEV, FinTS, ZUGFeRD, XRechnung, GoBD, JUnit, Mockito, Testcontainers, Playwright, Docker, GitLab CI/CD
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About the technology
Core systems
Distributed systems connect multiple computers so they work as one service. They power products that need scale, uptime, and low latency, from commerce and fintech to logistics, search, and real-time analytics. Strong specialists know how to keep services consistent when parts fail.
What they deliver
- Service decomposition and API design
- Event-driven workflows and message handling
- Data replication, sharding, and failover
- Distributed caching and state management
- Resilience, retries, and backpressure
Tooling stack
Work often spans Kubernetes, Kafka, gRPC, REST, Redis, service meshes, and cloud services on AWS, Azure, or GCP. Experts also use observability tools to trace latency, errors, and dependency issues across nodes. In Germany, this often supports enterprise platforms, industrial systems, and regulated data flows.
When to bring in help
Companies hire freelance specialists when a platform starts to split under load, when teams move from a monolith to microservices, or when cross-service data is becoming hard to trust. They also step in for incident reviews, architecture cleanup, and performance tuning before a major release.
What strong specialists do
Good professionals think in failure modes, not just features. They can explain trade-offs between consistency, availability, and partition tolerance, then choose patterns that fit the product. They write clear interfaces, reduce coupling, and make systems easier to operate day to day.
Team fit
Distributed work needs clear writing and strong coordination. Remote collaboration is common, but on-site sessions in Germany can help during architecture workshops, production incidents, or platform migrations. The best experts document decisions well and keep delivery practical, not theoretical.
Frequently asked questions
Questions about Distributed Systems? Start with the answers below.
A strong distributed systems expert builds services that keep working across many machines. That usually includes API layers, message-driven workflows, replicated data stores, and recovery paths for failures. The goal is reliable behavior when traffic rises or parts of the system go down.
Distributed systems is the broader discipline; microservices are one common way to apply it. A specialist may work on service boundaries, but also on queues, caching, consensus, replication, and observability. If your system already uses microservices, you still need distributed thinking to keep it stable.
A Distributed Systems specialist often works with Kafka, Kubernetes, gRPC, REST, Redis, and cloud services from AWS, Azure, or GCP. They may also use tracing, logging, and metrics tools to follow requests across many services. The exact stack depends on whether the system is event-driven, service-based, or data-heavy.
A good distributed systems professional usually brings strong backend design, data modeling, and infrastructure knowledge. Familiarity with networking, concurrency, failure recovery, and security also matters. For many projects, clear communication and incident handling are just as important as technical depth.
You do not need to wait for a crisis. Distributed Systems specialists are useful when a product is being redesigned for scale, when latency is rising, or when teams need to simplify complex service interactions. The earlier they join, the easier it is to avoid costly rewrites later.
Often yes, especially for architecture design, reviews, and implementation support. A Distributed Systems expert can usually work remotely with strong documentation and regular checkpoints. On-site time in Germany can still help for workshops, production planning, or sensitive stakeholder discussions.
Look for people who talk clearly about trade-offs, not just tools. A good Distributed Systems expert can explain how failures are handled, how data stays consistent, and how the system is monitored in production. Past work on real incidents, migrations, or high-traffic services is a strong sign.
Distributed computing and distributed systems are often used to describe the same space, but distributed systems is the more common term in product and architecture work. The focus is on many nodes working together as one service, with attention to reliability, coordination, and scaling. If someone also knows distributed computing theory, that is usually a plus.
Main locations of FRATCH Experts, who have recently used Distributed Systems
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
