MinIO Experts in Germany
matched in minutes by AIHire experts who design S3-compatible storage, automate Kubernetes deployments and connect MinIO to data pipelines, backups and private cloud environments. FRATCH matches you quickly with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Germany, who have recently used MinIO
Kiriakos K.
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
Maturing their API practices on both a business and technology level. My role covers strategy, architecture, developer advocacy as well as hands-on software engineering, enabling both technical teams and business leadership to adopt and act on API-centric principles effectively. Coincidentally, we also establish GitOps, DX and platform best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, React, Node.js, TypeScript, Redocly, reactive programming, CDC, Golang, Gin, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
Salim C.
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical consulting on Bitbucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Panagiotis T.
Last position:
Senior Data Engineer Consultant at GOLDNER GmbH
- Onboarded and conducted comprehensive documentation and system analysis to assess the existing data infrastructure, facilitating rapid integration and collaboration across functional data teams (modelling, processing, reporting).
- Collaboratively defined the architecture and project structure for a central data pipeline repository, including hierarchical standards, knowledge management strategies, and role-specific responsibilities, enhancing maintainability and onboarding speed.
- Evaluated and validated open-source data routing tools (Airbyte, Apache NiFi, Dragster) for ingest and sync requirements in retail analytics, including local benchmarking and error-state testing.
- Led the design and deployment of Airbyte in Kubernetes, creating customized Helm charts, securing secrets handling, and configuring Ingress with TLS and internal DNS routing, ensuring full API and UI accessibility.
- Troubleshot and resolved Ingress controller issues, iterating through multiple stages of debugging and testing, and documented setup and replication steps for scalable reuse.
- Mapped data models to ARTS standard, supporting schema alignment for ERP and reporting use cases, and coordinated review loops to align future data processing logic.
- Drafted strategic 1-pagers comparing MinIO, Pub/Sub, and routing architectures, providing technical guidance for architectural decisions and investment planning.
- Enabled secure access and authentication mechanisms, including initial evaluation for SAML integration, cluster-level configuration reviews, and service annotation improvements.
Benjamin M.
Last position:
Founder, system architect, and main developer at Institute for Artificial Study (IAS)
- Expert-supervised AI systems for scientific reasoning, model evaluation, and research workflows.
- Built the IAS Problem Solver, an orchestrated system for difficult mathematical reasoning; it achieved 84% in one submitted answer set on the Leipzig mathematics benchmark.
- Built a resumable state-machine pipeline for research-grade mathematics benchmark generation: source selection, LLM-agent-based phenomenon discovery, task synthesis, gold-answer and certificate generation and validation, probing, repair, human feedback, and quality gates, targeting tasks that are difficult, natural, verifiable, and cost-effective.
- Current work extends this into budget-aware AI research workflows for real scientific problems with expert review.
Tech stack: Python, OpenAI/OpenRouter-compatible APIs, embeddings, RAG, SQLite.
Daniel S.
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Mukund B.
Last position:
Voice AI Chatbot - Real-Time Audio Assistant
- ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.
Frank E.
Last position:
DevOps at Lauck-IT
Operations and extensions of Azure DevOps pipelines
Operations and extensions of AWS services
Citrix (Windows 10, Bitwarden)
AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting
Azure: build and deploy with DevOps pipelines
Mathias W.
Last position:
Implementation of an on-premise OCR solution with information extraction at Mindhopper GmbH
- Insurance service provider*
Challenge: Business-critical documents were processed through external OCR providers, with ongoing costs, dependency, and data privacy risks for sensitive insurance data.
Implementation:
- Architecture and production implementation of an on-premise OCR solution with full data ownership
- Methods for recognizing document structures as the basis for automated further processing
- ML-, NLP-, and LLM/VLM-based information extraction, especially from invoices and quotations
Success: Replaced external providers: full data ownership, GDPR-compliant processing, and 75% lower recurring OCR costs per year
Used technologies: Python, Docker, Microservices, FastAPI, PyTorch, Torchvision, MongoDB, MySQL
Patrick W.
Last position:
AI Software Engineer at IppenMedia
- Analysis
- Consulting
- Software design
- Development
- Automation
- Testing
- Deployment
- Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
- Developed best practices for working with agentic systems and AI in practice
- Created code templates
Patrick E.
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Kurt R.
Last position:
Lead Solution Architect (AI HealthTech) / interim CTO & Product Co-Owner at Physio-Agil Frankfurt
- General CTO responsibilities (architectural design, operational setup, external runtime product evaluation, investor buy-in, regulatory compliance).
- Software development oversight (implementation on deep-dive-in) plus workflow design.
- Product co-ownership.
- Tech/tools/frameworks: proprietary software (Java, JavaScript), Kubernetes, Postgres, MiniIO, Ollama (internal), several xAI API (external), OpenTofu (Terraform), Keycloak, Kafka, Prometheus, ELK Stack, GitHub, GitHub Workflows, Argo CD, ISO 27001, BSI-ISM, EU AI Act.
Peter T.
Last position:
Freelance Go-Developer/DevOps-Engineer at IONOS SE
- Implementation of an API for customers to provide NFS shares in the cloud
- Creating Kubernetes operators and services with REST APIs in Go
- Using LinuxKit for provisioning VMs
Tobias J.
Last position:
Design of an AI-Agent-Based ERP System
- Design of an LLM-based agent system to control the ERP software
- Development of agent workflows with LangGraph and PydanticAI
- Planning interfaces between business logic and language models
- Planning agent orchestration
- Prototype development and demonstration
Tools: Python, Pydantic, React, LangChain, LangGraph, Linux
Martin G.
Last position:
Product Management for Medical Portal at MedTech Startup
- Product strategy and roadmap development for digital health portal
- Requirements engineering and feature prioritization
- User story definition and backlog management
- Prototype development
- Implementation of continuous delivery
- Search engine optimization
- Technological environment: Claude Code, Claude Sonnet 4.5, Agentic Coding, TypeScript, React, AstroJS, PostgreSQL, JetBrains IntelliJ, Netlify, Supabase, GitHub Actions, Git, DevOps, continuous delivery
Timon R.
Last position:
Database Developer – Research Project – Healthcare Billing at MeQuEn GmbH
- Optimizing dynamically generated databases for logging
- Tools: MariaDB, C#, Visual Studio, VMs, Docker, Windows, Linux
Discover over 15,000 top freelancers
Statistics of experts using MinIO
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.3 years
Positions per freelancer
18
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
92%
Master's degree or higher
46%
Doctorate
8%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100%
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 Germany 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 Germany using MinIO
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.
MinIO 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 (50%)
- Healthcare (50%)
- Telecommunication (46%)
- Automotive (42%)
- Education (42%)
- Manufacturing (42%)
- Insurance (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What MinIO does
MinIO is a high-performance, S3-compatible object storage system for private cloud, hybrid cloud and data-intensive applications. It stores unstructured data such as documents, media, backups, logs and machine learning datasets as objects in buckets. Teams can run it on their own infrastructure while using APIs and tooling familiar from Amazon S3.
Where it runs
MinIO runs as a distributed service on bare metal, virtual machines, Kubernetes and selected public cloud environments. Its compact design suits data centers, edge locations and platforms that need local control over storage. In Germany, companies often evaluate it for private cloud environments, internal data platforms and workloads with strict operational requirements.
Ecosystem and tooling
Professionals work across the MinIO Client, the S3 API, the MinIO Console and the Operator for Kubernetes. They connect MinIO with backup software, event notifications, identity providers and observability tools. Relevant adjacent skills include Linux, containers, Kubernetes, Helm, Terraform, networking, TLS, IAM policies and data lifecycle management.
Typical delivery work
- Design buckets, tenants, policies and access boundaries
- Deploy and configure distributed MinIO clusters
- Integrate S3-compatible storage with applications and data pipelines
- Set up replication, versioning, encryption and retention rules
- Monitor capacity, performance, health and recovery processes
Projects may also include migration from file systems or another object store, backup target design and connections to analytics or media workflows. Clear ownership of data, credentials and operational procedures is essential from the start.
When companies need specialists
Freelance expertise is valuable when a storage platform must be introduced without disrupting existing workloads. Common signals include unreliable backup targets, growing unstructured data, a Kubernetes platform that needs durable object storage or a move away from proprietary storage services. Specialists can assess the current architecture, define a safe rollout and document handover for internal teams.
Remote collaboration usually works well for design, configuration and troubleshooting. On-site work can help when hardware, network paths or data-center procedures are central to the project. German and English language expectations should be agreed before delivery begins.
What strong professionals bring
Strong MinIO professionals understand storage beyond installation. They reason about erasure coding, node and drive failure, quorum, capacity planning, network throughput and recovery testing. They also know that S3 compatibility does not guarantee identical behavior across every application or storage product.
Look for evidence of production migrations, Kubernetes operations, IAM design and tested restore procedures. A sound expert explains trade-offs, limits access by default, validates monitoring and measures recovery against business requirements. They leave behind reproducible configuration, concise runbooks and a clear plan for future capacity and upgrades.
Frequently asked questions
Before you brief your next project: the most common questions about MinIO.
MinIO is used to store and serve unstructured data through an S3-compatible object storage API. Companies use it for backups, media assets, data lakes, application files, logs and machine learning datasets. It can run on infrastructure controlled by the organization rather than requiring a managed public cloud bucket.
MinIO focuses on object storage and a streamlined S3-compatible experience, while Ceph provides a broader storage platform that can also offer block and file storage. Amazon S3 is a managed cloud service, whereas MinIO is commonly operated by the customer on servers, Kubernetes or private cloud infrastructure. The right choice depends on operational capacity, control, integration needs and the required storage interfaces.
A strong MinIO specialist usually understands Linux, Kubernetes, containers, networking, TLS and identity management. Useful adjacent knowledge includes Terraform, Helm, backup systems, observability, S3 client libraries and data pipeline tooling. These skills help connect storage to real workloads instead of treating cluster installation as the whole project.
The required depth depends on the risk and scale of the workload, not on a fixed duration. A proof of concept may need configuration and application integration, while production storage requires failure testing, capacity planning, security controls, monitoring and documented recovery. Ask for examples that match your deployment model, data sensitivity and availability expectations.
MinIO work is often suitable for remote collaboration when infrastructure access, logs and change procedures are available securely. On-site involvement may be useful for hardware installation, data-center networking or sensitive migration windows. German or English communication should be agreed early, especially when internal operations teams and external specialists share responsibility.
MinIO can be deployed and managed in Kubernetes using its Operator and related configuration resources. Specialists typically address tenant design, persistent volumes, node placement, secrets, ingress, resource limits and monitoring. They should also verify how the underlying storage behaves during node, disk and network failures.
Ask how the professional approaches erasure coding, IAM policies, encryption, replication, upgrades and restore testing. A credible MinIO specialist can explain failure scenarios in plain language and will propose measurable acceptance checks. Review architecture documents, runbooks and migration plans rather than judging expertise only by a successful installation.
MinIO can replace or complement another S3-compatible store when its operational model and application behavior fit the target environment. A careful migration checks API usage, metadata, versioning, retention, permissions, replication and transfer capacity before moving production data. The specialist should plan validation, rollback options and a controlled cutover instead of treating object copying as the only task.
The average hourly rate of freelancers in Germany who have used MinIO in their recent projects is 100 €, which corresponds to a daily rate of about 800 € based on an 8-hour working day.
Of the freelancers in Germany who have used MinIO in their recent projects, 92% hold at least a Bachelor's degree, 46% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Germany who have used MinIO in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Germany who have used MinIO in their recent projects are German (100%), English (100%), and French (15%).
The most common industries among freelancers in Germany who have used MinIO in their recent projects are Information Technology (100%), Banking and Finance (50%), and Healthcare (50%).
The most common business areas among freelancers in Germany who have used MinIO in their recent projects are Information Technology (100%), Product Development (85%), and Project Management (77%).
Main locations of FRATCH Experts, who have recently used MinIO
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 Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
