Docker Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used Docker
John Ampia-Addison
Last position:
Software Developer and DevOps Engineer at Bundesrechenzentrum (BRZ)
Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and Systems Configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, Javascript, Bash Scripts, SQL, Grafana Stack, Opentelemetry, Docker, DB2, Maven, Kubernetes Kompose.
Alexander Vasilenko
Last position:
Senior Cloud & Kubernetes Architect at A.S.E. | Business Solutions for Construction
- Architected and deployed a highly available, multi-tenant Kubernetes platform on Google Kubernetes Engine (GKE) for business-critical microservices.
- Designed and implemented a comprehensive Infrastructure-as-Code strategy using Terraform for managing GKE clusters, networking (VPCs, Subnets), and IAM policies.
- Engineered optimized storage solutions for stateful workloads (MongoDB) using GKE PersistentVolumes, enhancing performance and data resiliency.
- Established a full-stack observability framework using Google Cloud Monitoring, Logging, Prometheus, and Grafana.
Burak Elalmis
Last position:
Senior Software Engineer at Nürnberger Versicherung
Further development of an insurance product quotation system
- Implementation and maintenance of pricing logic for property and casualty products (accident, property liability, business contents) based on Java and FaktorIPS
- Implementation of actuarial tariff revisions into product-specific calculation models
- Development and refactoring of backend components and web UI components
- Creation and maintenance of test tables and automated premium tests for quality assurance
- Code reviews and active involvement in quality assurance in the development process
- Production support and bug fixing in live operations
Marcel Steger
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Alexander Lechner
Last position:
Guest lecturer in Artificial Intelligence (Master’s Level) at FH des BFI Wien
- Teaching & presenting
- Communication
- Effectively communicate complex technical topics to non-technical audiences through lectures
- Guided non-technical students from zero knowledge to confidently understanding and applying algorithms to achieve business outcomes
Michail Matjuchin
Last position:
OpenShift Specialist, Developer at Insurance
Project goal: Introduce OpenShift as the run-time platform and migrate all applications to OpenShift.
My contribution: Make sure logging and monitoring for the applications were in place. Set up and put into operation the OpenShift components for logging and monitoring (Elasticsearch, Prometheus, and Grafana). Develop and implement the security concept for OpenShift. Work with developers to define and carry out the application changes needed for the OpenShift migration. Integrate monitoring into the applications.
Technical environment: Java, WebSphere Liberty, OpenShift components, Elasticsearch (ELK stack), Prometheus, Grafana.
Daniel Auferbauer
Last position:
Solution Architect and Fullstack Developer at IoT Sensor Data Processing and Evaluation
- Develop a concept for the analysis of sensor data.
- Assess implementation options, products, and pricing in Azure.
- Present and advocate the solution concept to the client.
- Implement an ETL pipeline for processing sensor data.
- Integrate BI solutions with the data repository.
- Provide documentation and support for end users.
Fabio Galvagni
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Jürgen Eckel
Last position:
Chief Executive Officer at Riddle&Code GmbH
- Pivoted the company into data-driven and AI-powered energy optimization solutions for microgrids, energy communities, and grid operators.
Joseph Wagner
Last position:
Freelancer Cloud / Solution Architect (AWS) at A1 Bank
- I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
- The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
- Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
- Managing over 10 global vendors and partners is crucial to project success.
- Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.
Maximilian Götz-Mikus
Last position:
Solo Developer / Founder at InvAPI
- Privacy-first, stateless e-invoice API providing AI-powered extraction, bidirectional format conversion (UBL/CII/ZUGFeRD), batch processing, and validation for German/Austrian e-invoice compliance
- Technologies: Nuxt 4, Vue 3, Nitro, TypeScript, Cloudflare (D1, R2), Stripe, OAuth, AI/LLM integration
Attila Danics
Last position:
Full-Stack Software Engineer at Research Data Evaluation
- Custom anonymized research data analyzer, providing insights and facilitating data-driven decision-making.
- Designed and developed back- and frontend.
- Delivered end-to-end solution.
- Accelerated research timeline by 2 months.
Thomas Urban
Last position:
Consultant at Henrich Baustoffe
- Developing the required views and KPIs in collaboration with the different departments and management
- Preparing and modeling the various data sources
- Implementing the company-wide and cross-department dashboard in Microsoft Power BI
Rene Schakmann
Last position:
Head of Digital Services & IT at reet systems gmbh / THEOPHIL Holding GmbH
- Overall responsibility for IT, software development, and digital services of the company for brands such as Rosenberger, Rosehill, Burger King Austria (approx. 70 companies)
- Built the holding's lakehouse and data analytics platform
- Established and led the software development and IT department
- Established and led the operation (cloud-native AWS) of the B2B platform
- Connected IoT systems and developed models for predictive maintenance and production planning, data lake/lakehouse, and BI
- Preparation for ISO 27001 information security certification
- Technologies: Cloud, AWS, Java, Cypress, Angular, Python, Go
Christian Mayr
Last position:
Senior Feature Engineer - Banking at start.me app e.U.
- Requirements engineering & business analysis
- Architecture responsibility for core banking extensions
- Interface modeling for third-party systems (TiGital, ESA, ÖNB)
- AML, KYC & payment reporting
Discover over 15,000 top freelancers
Statistics of experts using Docker
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Austria: 17 years)
Position duration
2.3 years (Austria: 2.8 years)
Positions per freelancer
11 (Austria: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Transportation, Education
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
80% (Austria: 77%)
Master's degree or higher
67% (Austria: 59%)
Doctorate
13% (Austria: 9%)
Certifications per freelancer
4 (Austria: 3)
Most common languages
German, English, Russian
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Vienna 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 Vienna using Docker
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Docker basics
Docker is used to package software and its dependencies into containers that run the same way across laptops, test systems, and production. Companies bring in Docker specialists when they need repeatable environments, cleaner handoffs between teams, or simpler deployment flows.
What teams build
- Service containers for APIs and worker processes
- Docker Compose setups for local development and integration testing
- Reproducible build images for CI and delivery pipelines
- Runtime images for web apps, internal tools, and batch jobs
Docker helps teams separate application logic from the host system. That makes releases easier to move between cloud, on-prem, and hybrid setups.
Skills that matter
Strong Docker professionals understand image layering, multi-stage builds, tagging, networking, volumes, and security basics. They also know how Docker Engine, Docker Desktop, and registries fit together in day-to-day work.
- Writing compact, maintainable Dockerfiles
- Debugging container startup, ports, and filesystem issues
- Reducing image size and build time
- Aligning containers with CI and release workflows
When to hire
Companies usually seek Docker expertise when local setups are inconsistent, deployments fail in the same way across environments, or services need clearer isolation. In Vienna, this often matters for product teams, agencies, and internal IT groups that work with mixed on-site and remote specialists.
What good work looks like
A good Docker specialist leaves behind readable images, documented commands, and predictable behavior. They avoid oversized images, hardcoded secrets, and brittle build steps. The result is a setup other experts can extend without guessing.
Ecosystem and adjacent tools
Docker rarely stands alone. It is often used with Compose, Kubernetes, registries, CI tools, reverse proxies, and cloud services that pull and run images. The best specialists can explain where Docker ends and where the next layer of infrastructure begins.
Frequently asked questions
Quick answers to the questions that come up most around Docker.
Docker is used to package software with the files, libraries, and settings it needs to run. That helps teams create the same environment for local work, testing, and deployment. It is common for web apps, background jobs, APIs, and internal tools.
Docker and Kubernetes solve different problems. Docker packages and runs containers, while Kubernetes manages many containers across machines. A strong specialist knows how to prepare images and Compose setups for Docker, then hand them off cleanly if Kubernetes is part of the stack.
A good Docker freelancer usually knows Linux basics, shell scripting, CI pipelines, and networking. For many projects, Git, registries, and security hygiene matter as much as the container file itself. If the stack is modern, Compose and basic Kubernetes knowledge are often useful too.
Not always. Simple image cleanup, a broken Dockerfile, or a Compose issue may only need a focused specialist who has solved that exact problem before. Larger work, such as standardizing builds across many services, benefits from deeper container architecture experience.
Ask which images the Docker specialist has built, how they handle secrets, and how they keep builds fast and readable. It also helps to ask about experience with your runtime, registry, and CI system. Good answers are concrete and mention trade-offs, not just general container knowledge.
Yes. Much of Docker work can be done remotely because the key outputs are files, images, and pipeline changes. On-site time only becomes important when the team needs close collaboration with local infrastructure, strict access controls, or hands-on troubleshooting.
Docker is the common name people use for the container workflow and toolset. Docker Engine is the core runtime that builds and runs containers, while Docker Desktop is the local app many experts use on macOS and Windows. A strong freelancer knows when each piece matters.
Look for clean Dockerfiles, small and predictable images, and clear documentation. The best Docker work also avoids hidden assumptions, makes local startup easy, and fits the CI pipeline without extra manual steps. If the specialist can explain why each layer exists, that is a good sign.
The average hourly rate of freelancers in Vienna, Austria who have used Docker in their recent projects is 103 €, which corresponds to a daily rate of about 827 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Docker in their recent projects, 80% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Docker in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Vienna, Austria who have used Docker in their recent projects are German (100%), English (100%), and Russian (18%).
The most common industries among freelancers in Vienna, Austria who have used Docker in their recent projects are Information Technology (100%), Transportation (47%), and Education (41%).
The most common business areas among freelancers in Vienna, Austria who have used Docker in their recent projects are Information Technology (100%), Product Development (88%), and Business Intelligence (65%).
Main locations of FRATCH Experts, who have recently used Docker
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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