Cloud Native Experts in Austria
, matched in minutes from over 15,000 CVs with the power of AIHire experts who design containerized platforms, Kubernetes environments and event-driven services, with experience across observability, automation and public cloud delivery. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Austria, who have recently used Cloud Native
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Manuel P.
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Nikolaus J.
Last position:
Solution Architect at HIT Baumärkte
- Leading high-impact retail digital transformation focused on data integration, app integration, and next-generation customer engagement strategies.
Thomas S.
Last position:
Cloud Native Trainer and Architect / Owner at TSC Labs e.U.
Focus:
- Developing and providing Cloud Native Courses
- Architecture Consulting for Platform Engineering and Cloud Native
- Supporting Teams and People on their Cloud Native Journey
Delivered Trainings:
- Kubernetes Fundamentals - From Pods to Ingresses; 2 Days
- Platform Engineering on GKE - Operators, GitOps, Gateway API, Policy Management, Storage; 2 Days
- Platform Engineering on AKS - GitOps, External Secrets, Policy Management, Ingress/Gateway API and Storage; 4 Days
Currently In Progress:
- Platform Engineering Basic / Advanced on OpenShift - OpenShift/Kubernetes Basics, GitOps, External DNS, External Secrets; Multi-Step Program with 2 Course Blocks (3 and 2 Days) and self-paced projects
Michail M.
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.
Attila D.
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.
David L.
Last position:
Senior Full Stack Engineer at Fractual
- Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
- Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
- Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
- Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
- Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
- Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
- Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
- Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
- Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
- Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
- Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
- Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
- Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
- Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.
Rene S.
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
Bernhard K.
Last position:
AI Consultant at Bitpanda
- Advising on AI strategy and implementation for one of Europe's leading digital asset platforms
- Helping teams integrate agentic AI workflows, optimize developer productivity through AI-assisted tooling, and evaluate emerging AI technologies for fintech applications
Jasmin G.
Last position:
Cloud Developer & DevOps Engineer at Energy Utility Company
- Further developing microservices (Go, .NET)
- Expanding gRPC APIs
- Maintaining Kubernetes clusters (AKS)
- Managing the system landscape
- Migrating Azure App Services to Kubernetes
- Creating and extending Azure Pipelines
- Developing a Go microservice to receive and send events from Azure Service Bus
- Integrating KEDA for autoscaling
- Technologies used: Go, .NET, Azure Portal, Terraform, Kubernetes, Helm, MongoDB, Jaeger, Grafana
Discover over 15,000 top freelancers
Statistics of experts using Cloud Native
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.8 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Healthcare
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
63%
Certifications per freelancer
5
Most common languages
English, German, Spanish
Speak two or more languages
90%
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 Austria 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 Austria using Cloud Native
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.
Cloud Native 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%)
- Education (60%)
- Healthcare (50%)
- Professional Services (50%)
- Transportation (40%)
- Media and Entertainment (40%)
- Manufacturing (30%)
- Retail (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Cloud Native means
Cloud Native describes an approach to building and operating software as distributed, resilient services. Teams use containers, orchestration, automation and managed cloud capabilities to release changes independently and scale services as demand shifts. The approach is closely associated with the Cloud Native Computing Foundation and Kubernetes.
What it builds
Cloud Native systems support customer portals, APIs, data platforms, digital products and internal business services. They are designed for frequent delivery, failure recovery and clear ownership across services.
- Containerized applications and microservices
- Kubernetes-based application platforms
- Event-driven and serverless workloads
- Highly available APIs and data services
Ecosystem and tooling
The ecosystem combines Kubernetes with container runtimes, Helm, service meshes and ingress components. Professionals also work with Terraform or Pulumi for infrastructure as code, CI/CD systems for delivery, and Prometheus, Grafana, OpenTelemetry and centralized logging for observability. Cloud providers add managed clusters, databases, queues and identity services.
When companies need expertise
Companies often bring in freelance expertise when a monolith is being decomposed, a Kubernetes platform needs structure, or cloud costs and operational risks are difficult to control. In Austria, specialists may support regulated industries, manufacturing, commerce and public services while coordinating with teams on site or remotely. German-language collaboration can matter for stakeholder work, but technical delivery is often international.
- Plan a migration from virtual machines or a monolith
- Establish deployment, security and platform standards
- Improve reliability, observability or release flow
Skills that set experts apart
Strong professionals understand distributed systems, networking, Linux, cloud identity, storage and security, not only Kubernetes commands. They define sensible service boundaries, automate repeatable work and make trade-offs visible. They also know when a simpler managed service or modular application is better than adding more platform complexity.
Choosing the right professional
Review how an expert explains architecture decisions, incident handling and operational ownership. Ask for examples of migration plans, infrastructure code, delivery pipelines and monitoring practices, while protecting confidential details. A good fit can connect business goals with practical service design, communicate clearly with product and operations teams, and leave behind documentation that others can use.
Frequently asked questions
Curious about Cloud Native? Here are the answers that come up again and again.
Cloud Native is used to build and operate distributed applications that can be released, scaled and recovered through automation. Typical examples include APIs, digital products, data services and event-driven workloads running across containers and managed cloud services.
Cloud Native usually favors independently deployable services, automated infrastructure and strong observability, while a monolith keeps more functionality in one deployable unit. A monolith can be simpler to operate, so the right choice depends on team structure, release needs and system complexity rather than fashion.
A strong Cloud Native expert often combines Kubernetes with Linux, networking, identity and access management, infrastructure as code, CI/CD and observability. Experience with a public cloud, databases, messaging systems and application security is also valuable.
The required depth depends on the project. A platform migration, production Kubernetes environment or reliability program needs an expert who has handled operations, security and incidents in comparable systems, while a contained application deployment may need a narrower skill set.
Cloud Native work is often suitable for remote collaboration because infrastructure, code, dashboards and documentation are shared digitally. On-site workshops can still help with discovery, security reviews or stakeholder alignment, especially when teams operate across Austria.
Ask the Cloud Native freelancer to explain failure scenarios, deployment rollback, access controls, monitoring signals and ownership after handover. Useful evidence includes clear architecture records, tested automation, actionable alerts and a plan for managing operational risk.
Cloud Native does not require Kubernetes in every case. Managed container services, serverless runtimes or simpler deployment models may be more appropriate when they meet availability, scaling and governance needs with less operational overhead.
Before starting a Cloud Native engagement, clarify the current architecture, target cloud, compliance constraints, deployment ownership and definition of success. It is also important to understand whether the work covers application changes, platform operations, enablement or a combination of these.
The average hourly rate of freelancers in Austria who have used Cloud Native in their recent projects is 102 €, which corresponds to a daily rate of about 819 € based on an 8-hour working day.
Of the freelancers in Austria who have used Cloud Native in their recent projects, 100% hold at least a Bachelor's degree and 63% hold at least a Master's degree.
On average, freelancers in Austria who have used Cloud Native in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Austria who have used Cloud Native in their recent projects are English (100%), German (90%), and Spanish (20%).
The most common industries among freelancers in Austria who have used Cloud Native in their recent projects are Information Technology (100%), Education (60%), and Healthcare (50%).
The most common business areas among freelancers in Austria who have used Cloud Native in their recent projects are Information Technology (100%), Product Development (90%), and Business Intelligence (60%).
Main locations of FRATCH Experts, who have recently used Cloud Native
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.
Countries:
- Germany
- Austria
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FRATCH CEO
