Distributed Systems Experts in Berlin
matched in minutes from over 15,000 CVs with the power of AIHire experts who design fault-tolerant services, event-driven architectures and scalable data flows across cloud and on-premise environments. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your technical requirements.
Meet FRATCH Experts in Berlin, who have recently used Distributed Systems
Deepak M.
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 R.
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 B.
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 M.
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 V.
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Qaiser A.
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
Karthikeyan R.
Last position:
Full-Stack Developer — Own Product at Self-employed
Java 21 · Spring Boot 3 · Keycloak · PostgreSQL · Docker · Nginx · GitHub Actions · DigitalOcean · React 18 · TypeScript · Plasmo
- Architected and shipped a production-ready Job Application Tracker end-to-end: REST API with 5-stage workflow, pagination, sorting, and dynamic filtering — full ownership from design to live cloud deployment on DigitalOcean.
- Implemented production-grade identity management: OAuth 2.0 / OpenID Connect / JWT / RBAC via Keycloak, applying Hexagonal Architecture and DDD principles.
- Built automated CI/CD pipeline (GitHub Actions); containerised with Docker; Nginx reverse proxy with path-based routing and SSL termination.
- Developed a Chrome Extension (Plasmo framework, Manifest V3) that auto-fills job applications directly from LinkedIn into the tracker — demonstrates full product thinking across backend API and browser client.
Gautam D.
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 N.
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.
Olaf N.
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
Volker K.
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.
Hai D.
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 F.
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 K.
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 O.
Last position:
Software Engineer at Zalando SE
Discover over 15,000 top freelancers
Statistics of experts using Distributed Systems
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.3 years (Germany: 2.1 years)
Positions per freelancer
12 (Germany: 11)
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% (Germany: 94%)
Master's degree or higher
46% (Germany: 57%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, French
Speak two or more languages
88% (Germany: 95%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Berlin using Distributed Systems
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Distributed Systems experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Banking and Finance (63%)
- Automotive (50%)
- Education (38%)
- Retail (38%)
- Aerospace and Defense (25%)
- Healthcare (25%)
- Transportation (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Distributed Systems Are
Distributed Systems connect independent computers and services so they work together as one system. They support applications that must remain responsive while processing requests, data and events across multiple locations. Good design accounts for network delays, partial failures, consistency and recovery.
What They Build
Companies use distributed architectures for platforms that need resilience, elastic capacity and continuous delivery. Typical deliverables include:
- Service-based and event-driven application architectures
- Replicated data stores and reliable messaging flows
- High-volume APIs, streaming pipelines and background processing
- Multi-region and cloud-native deployment designs
Ecosystem and Tooling
Specialists work across languages, runtimes and infrastructure rather than in one isolated stack. Common tools include Kubernetes, Docker, Kafka, RabbitMQ, gRPC, REST, PostgreSQL, Redis and cloud services from AWS, Azure or Google Cloud. Observability with OpenTelemetry, Prometheus and Grafana helps teams understand behaviour across service boundaries.
When Companies Need Expertise
Freelance expertise is useful when a monolith is being decomposed, traffic patterns are changing or reliability issues are difficult to isolate. In Berlin, teams in fintech, mobility, commerce and media often need collaboration that works across offices, remote locations and existing language preferences. Strong specialists can quickly map the current system before proposing change.
Delivery and Collaboration
A capable professional turns architectural principles into tested, documented systems. They define service boundaries, communication contracts, data ownership and failure handling, then support implementation and rollout. Remote work is effective when teams share clear interfaces, incident practices and decision records; on-site sessions can help during discovery or critical migrations.
Signs of Strong Specialists
Look for evidence of practical decisions under failure and load, not diagrams alone. Useful signals include:
- Clear approaches to consistency, idempotency and distributed transactions
- Experience with tracing, metrics, alerts and incident response
- Careful testing of retries, timeouts, ordering and recovery
- Secure APIs, automated delivery and infrastructure as code
- Plain explanations of trade-offs for technical and business teams
Frequently asked questions
What clients ask us most about Distributed Systems — answered in short.
Distributed Systems are used to run applications whose services, data or processing operate across multiple computers or locations. They are common in payment services, marketplaces, streaming products, logistics, telecommunications and other systems that need resilience or flexible capacity.
Distributed Systems separate responsibilities across services or nodes, while a monolith keeps most application logic in one deployable unit. Distribution can improve independent scaling and fault isolation, but it also adds network failures, operational work and consistency challenges.
Distributed Systems are the broader concept, covering any coordinated system spread across multiple computers. Microservices are one architectural style within that field, alongside event-driven systems, distributed databases and service-oriented designs.
Distributed Systems work benefits from skills in cloud infrastructure, Kubernetes, networking, databases, messaging and observability. Strong professionals also understand security, automated testing, incident response and the operational side of running services in production.
Distributed Systems projects vary widely in difficulty, so the right level depends on failure modes, data sensitivity, traffic patterns and the required availability. A professional handling a migration or production incident should show relevant delivery experience, not only academic knowledge or isolated service examples.
Distributed Systems work can be effective remotely when teams document interfaces, architectural decisions and operational ownership. Berlin-based collaboration may combine remote delivery with on-site workshops for discovery, migration planning or incident reviews, depending on the company’s working model.
Distributed Systems quality is best assessed through concrete trade-offs and failure scenarios. Ask how the professional handles retries, timeouts, data consistency, observability, recovery and gradual releases, and request examples of how those decisions affected reliability and maintainability.
Distributed Systems may be unnecessary when a single application and database can meet the product’s scale, reliability and delivery needs. A careful specialist should be willing to recommend a simpler monolith when distribution would add more operational complexity than business value.
The average hourly rate of freelancers in Berlin, Germany who have used Distributed Systems in their recent projects is 102 €, which corresponds to a daily rate of about 818 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Distributed Systems in their recent projects, 100% hold at least a Bachelor's degree and 46% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Distributed Systems in their recent projects have 18 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 (88%), 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 (63%), and Automotive (50%).
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 (56%).
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.
Hamburg 
Munich Request a free demo
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FRATCH CEO
