Distributed Systems Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Distributed Systems
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
Maciej Rosiek
Last position:
Full Stack Developer (Freelancer) at Runbuggy
- Led development of RunBot AI assistant autonomously using LLM-powered workflow automation (React, TypeScript, Java, MongoDB, NATS)
- Architected TMS platform providing unified transportation management and real-time logistics visibility with AI processing pipelines
- Designed event-driven microservices architecture supporting marketplace
- Drove architectural decisions and technical leadership across full-stack platform development
Abhiroop Basu
Last position:
Software Engineer III at Foundry Digital
- Developed and deployed microservices in Kotlin and Spring Boot, integrated AWS Secrets Manager to secure credentials and decreased network calls using Spring cache.
- Refactored Kafka consumer using Spring Kafka with semaphore-based backpressure to cap records and keep heap memory stable under spikes; switched to batch upserts to cut down on database invocations; added Testcontainers integration tests for Kafka and database to pave the way for future changes.
- Automated the financial reconciliation workflow in Spring Boot (Kotlin) using Spring Scheduler, transactional boundaries, JPA/Hibernate on MySQL, and Flyway migrations, saving the accounts team 16+ hours per week.
- Designed and dockerized payments end-to-end test framework in Robot (Python) with reusable keyword libraries and profiles; integrated with GitLab CI (JaCoCo XML and HTML reports) to accelerate releases and lift code coverage to 80%.
- Implemented end-to-end observability on Datadog by instrumenting services with Datadog APM, correlating metrics and logs, provisioning dashboards, and creating monitors with burn-rate alerts and anomalies to harden reliability and give stakeholders clear visibility.
Daniel Martinez Maqueda
Last position:
Founding Database Engineer at tonbo.io
Working on the next iteration of tonbo to make it the most flexible in-process analytical database in the market that scales and is operated with strong availability
Introduced object scope cache to the remote storage layer to avoid I/O churn
Working on refactoring WAL to support remote storage
Taking care of the health of the systems as well as designing the operational story and bringing them to production
Technologies: LSM, WAL, Arrow, Parquet, Rust
Ola Van Dunen
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Qaiser Abbasi
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Gautam Dhameja
Last position:
Founder at Proferent
- 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.
Jad Nohra
Last position:
Software Developer at Side Project
- Vram.run: Rust, TypeScript, HF Inference API with 19 providers, 220+ HW configs, and 30+ cloud GPUs. Search a model to see which API providers serve it, which GPUs can run it locally (and how fast), and what cloud rental would cost. Or search your hardware and see what fits. Also includes a Rust CLI.
- Psychotron: JavaScript, Web Audio API, AudioWorklet, Canvas 2D. Front-end for flash fiction audiobook with Web Audio DSP chain featuring pitch-shifting, 12-voice chorus, flanger, 13-band EQ, and convolver reverb. Includes a 2D canvas effect morphing engine and synchronized teleprompter.
- RecentWork: Swift, macOS, FSEvents, launchd. macOS daemon that watches project directories and maintains a flat folder of symlinks to recently modified files. Homebrew installable.
- Mini-llm: Bash, macOS, launchd, Ollama, llama.cpp, MLX, Open WebUI. Single command that turns a Mac Mini into a headless AI server.
- ThatSlop: JavaScript. Chrome/Firefox extension for AI content detection on LinkedIn and Twitter.
- Smux: Bash, tmux. Human-friendly tmux wrapper that is Homebrew installable.
- Learn Rust Course: Rust. Course on Rust’s memory model for C++ programmers, written from experience of transitioning from C++ to Rust at Irreducible.
Volker Krause
Last position:
Head of Engineering at Infoniqa
- 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.
Olaf Nouvortne
Last position:
Frontend Engineer at Danaher/Hach Lange GmbH
- Developed a SolidJS frontend UI for a spectrometric water analysis system on an ARM-based embedded Linux platform
- Prototyped UI in TypeScript React/Nx with LitElements and MQTT integration
- Built production UI using SolidJS, SUID, i18next, Ajv, MQTT.js, C3.js
- Refined requirements with UX team and water analysis system engineers
- Defined and documented system architecture, MQTT message formats, frontend architecture, and development setup
- Set up frontend system from scratch, implemented domain-oriented type system, UI components, and application state
- Managed MQTT pub/sub services and schema-based message validation in frontend
- Coached two junior frontend developers
- Worked in an agile remote team using JIRA, Git, and Bitbucket
Hai Dang
Last position:
Principal System Architect & Tech Lead at IU International University of Applied Sciences
Leading architecture and delivery of AI-powered educational content platform, managing two development teams with full technical ownership.
Designed and architected the Content Hub platform replacing legacy SiteFusion systems, enabling professors to create AI-assisted learning materials for improved student outcomes.
Established technical strategy, defined architecture requirements, and aligned two cross-functional teams (AI Media Team, TEAQ Team) on a unified delivery roadmap.
Implemented Clean Architecture principles and AI-agent-friendly documentation standards across the engineering organization.
Drove adoption of modern development workflows including CI/CD automation and MongoDB-based content management solutions.
Danilo Freitas
Last position:
Chief Technology Officer at VR Smart Guide
- Responsible for the digitalization of complex financial processes by leveraging AI capabilities and stabilizing a technical team with strong engineering culture
- Member of the company's senior management alongside the CEO and COO, defined and executed the P&L strategy
- Rebooted the engineering team by replacing underperforming people, adding flexible engineering profiles for experimental projects, supporting the business, and restructuring the P&L by freezing financially unproductive scopes
- Actively supported fundraising by deep-diving into financial structures and validating the business rationale to focus on strategic goals
- Freezing products with no relevant revenue streams
- Prioritizing the pivot toward data products
- Renegotiating vendors
- Cleaning up unproductive SaaS
- Reorganizing the tech org chart into a flexible team to reduce committed cash burn
- Created data and AI teams and introduced AI specialists who produced core business solutions such as innovative prediction models for financial scoring and digitalization of the banking process
- Created and executed fintech compliance requirements in accordance with ZAG/BaFin
- Responsible for creating and executing a data-driven view to leverage financial services based on transnational data for SMEs' financial risk evaluation and management
- Formed first-level engineering leadership by creating cross-functional teams and introducing platform teams for speed and reliability
- Created a lean strategy for implementing a scalable microservices-based architecture using event-driven design and migrated existing projects from bare metal to GCP with CI/CD pipeline
Kalyani Kumar
Last position:
Assistant Vice President at Deutsche Bank
- Technologies: Java, React, Python, Scala, Spring Boot, JPA, microservices, Kubernetes, Docker, OpenShift, Eureka, Prometheus, Grafana, Zookeeper
- Led the design and development of enterprise wide data warehouse platform for efficient and secure data sharing using stateless, event-driven microservices architecture
- Served as component guardian and Scrum master for three microservices, ensuring seamless integration and maintaining high data integrity
- Optimized performance through Prometheus and Grafana, achieving measurable system resilience
Michael Okuboyejo
Last position:
Software Engineer at Zalando SE
Tibor Claassen
Last position:
Fractional CTO at eHealth Africa GHM
Led the transition of an IoT cold-chain monitoring system to sustainable in-house ownership at a resource-constrained NGO.
Worked hands-on across distributed AWS/Terraform infrastructure, Golang services, and Kafka Streams.
Established a pragmatic technical strategy balancing system reliability with organisational capacity, including the Databricks platform migration, from cloud account setup to technical direction for the data engineers.
Discover over 15,000 top freelancers
Statistics of experts using Distributed Systems
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.3 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Quality Assurance, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
50%
Certifications per freelancer
1
Most common languages
English, German, French
Speak two or more languages
87%
Based on our profile pool as of 30 Aug 2026.
About the technology
What it covers
Distributed systems link multiple services, nodes, or services behind one product experience. They power platforms that need scale, resilience, and independent releases. Common work includes service-to-service communication, data replication, and failure handling.
Typical builds
- Microservices and API-heavy backends
- Event-driven systems with queues and streams
- Data pipelines and synchronization layers
- Service discovery, retries, and circuit breaking
- Systems that must keep working during partial outages
Skills that matter
Strong specialists understand trade-offs, not just patterns. They work with consistency models, distributed tracing, consensus concepts, caching, idempotency, and observability. They also know where distributed computing becomes harder than a simpler monolith.
Tooling and stack
The stack often includes Kafka, RabbitMQ, Redis, Kubernetes, gRPC, REST, and cloud services from AWS, Azure, or Google Cloud. Good professionals know how these pieces behave under load, how they fail, and how to monitor them in production.
When to bring in help
Companies usually bring in freelance expertise when a system becomes hard to scale, slow to recover, or difficult to evolve. Berlin teams often need support for platform rebuilds, migration from a monolith, or coordinating work across product, infrastructure, and data specialists.
What good experts deliver
They leave clear system boundaries, safe deployment paths, and practical documentation. They also reduce coupling, improve resilience, and make incidents easier to diagnose. In microservices and other distributed architecture work, that discipline matters more than clever code.
Frequently asked questions
What clients ask us most about Distributed Systems — answered in short.
A strong Distributed Systems specialist builds software that runs across several machines or services while behaving like one product. That usually means handling communication, data consistency, retries, and failure recovery without making the system fragile. The goal is reliable behavior when parts of the system are slow or unavailable.
Bring in Distributed Systems expertise when a monolith no longer fits, services fail under load, or teams need help untangling service boundaries. Freelancers are also useful for migration planning, incident reviews, and architecture decisions that affect many teams. That outside view often helps when internal priorities conflict.
Distributed Systems is the broader field; microservices is one common way to apply it. A project can use distributed ideas without being split into many small services, and it can still fail if communication, data flow, or recovery is weak. Good specialists focus on the system behavior first, not the service count.
A good Distributed Systems expert usually also knows API design, cloud infrastructure, observability, and event streaming. Experience with Kafka, Kubernetes, Redis, and tracing tools is often important. Security, data modeling, and incident response are also useful because failures rarely stay in one layer.
A Distributed Systems project usually needs someone who has shipped production systems, not just read about patterns. The right freelancer should have handled timeouts, partial outages, backpressure, and rollout risk before. For larger migrations, you may also want someone who can guide other specialists and make trade-offs explicit.
Yes, most Distributed Systems work can be done remotely if the team has good access to logs, diagrams, and staging environments. Berlin companies often mix remote work with on-site sessions for architecture workshops, incident reviews, or stakeholder alignment. Clear English communication is usually enough, though some teams prefer local presence for close collaboration.
Look for clarity in failure handling, not just clean code. A strong Distributed Systems specialist explains trade-offs, defines measurable system behavior, and documents how services recover when something breaks. Good signs are practical observability, simpler dependencies, and designs that are easy to operate.
For Distributed Systems, expect architecture notes, service boundary proposals, data flow diagrams, rollout plans, and reliability improvements. In some cases the freelancer also delivers tracing setup, queue redesign, or migration support. The best outcome is a system that is easier to run and change, not just a diagram.
Of the freelancers in Berlin, Germany who have used Distributed Systems in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Distributed Systems in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Berlin, Germany who have used Distributed Systems in their recent projects are English (100%), German (87%), and French (13%).
The most common industries among freelancers in Berlin, Germany who have used Distributed Systems in their recent projects are Information Technology (100%), Banking and Finance (60%), and Automotive (53%).
The most common business areas among freelancers in Berlin, Germany who have used Distributed Systems in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (60%).
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.
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Munich