Kubernetes Experts in Austria
, matched in minutes from over 15,000 CVs with the power of AIHire experts who run containerized workloads, design production clusters and automate delivery with Helm, Argo CD and Terraform. Get fast, precise access to vetted, available freelancers who fit your Kubernetes project and collaboration needs.
Meet FRATCH Experts in Austria, who have recently used Kubernetes
David J.
Last position:
External AI Solution Architecture Engagement via Zühlke
- Challenge: Assess the feasibility of voice support for patient intake, pre-qualification, routing and documentation.
- Action: Designed the speech recognition, agent control, documentation and integration architecture; assessed latency, language quality, privacy and regulatory requirements.
- Result: Built a working multilingual proof of concept in three days, demonstrating voice interaction, triage, suspected diagnosis and AI-supported documentation. This made the next technical and clinical review points visible. No production deployment is documented.
Stavros V.
Last position:
Senior Executive Consultant - AI and Enterprise Transformation at Schneider Electric
Build the business value case for a global Talent Acquisition transformation covering talent attraction, shared specialist capabilities, process standardization, AI-enabled automation and the future HR operating model.
- Led the value-case workstream and aligned Finance, HR, Digital and workstream leaders on scope, assumptions, investment requirements and decision criteria.
- Built low, base and high scenarios linking adoption, productivity, workforce capacity, cost and service outcomes; identified double-digit FTE-equivalent capacity and multi-million-euro modeled value potential.
- Assessed AI and automation across scheduling, sourcing and candidate qualification, separating released capacity, avoided cost, qualitative benefits and standalone investment needs.
- Produced executive dashboards, a value-driver tree and a traceable calculation guide; reconciled cross-workstream inputs into the storyline used for the investment decision.
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment 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
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses 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
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional 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
Christian W.
Last position:
Lead Developer & Performance Specialist at Groox GmbH
Sole responsibility for the design, development and deployment of the bilingual Qwik platform eventvideo.at. Responsible for frontend performance optimization (PageSpeed 97/100/100/100), SEO engineering with Schema.org, integration of Google Search Console and IndexNow, and building the GitHub Actions CI/CD pipeline. Requirements gathering and technical implementation.
- Performance Engineering: Google PageSpeed Score 97/100/100/100 (Performance / Accessibility / Best Practices / SEO) through frontend optimization (lazy loading, thumbnail-first, lightweight media integration)
- Full-Stack Web Development: Sole responsibility for development with the Qwik.js framework from frontend to deployment for the bilingual (DE/EN) platform eventvideo.at, marketing personalized, fully automated participant videos for sports events
- Qwik.js Resumability Architecture: Server-side rendering with minimal JavaScript hydration overhead; the page remains immediately interactive even with extensive video and event content, without a full-page load.
- API Integration: Google Search Console API and IndexNow API for automated indexing and SEO monitoring
- SEO Engineering: Schema.org Structured Data implementation for rich snippets and improved search engine visibility
- Mobile-First with minimal bundle size: CSS3 layout without UI framework overhead, consistently lean use of resources for excellent PageSpeed on desktop and mobile.
- GitHub Actions CI/CD: Automated build, test and deployment pipeline for continuous integration
Technologies: Qwik.js Framework, TypeScript, JavaScript, Internationalization (i18n DE/EN), GitHub Actions CI/CD, Google Search Console API, IndexNow API, Schema.org, Google PageSpeed Insights, Lazy Loading, CSS3, Responsive Design
Christian E.
Last position:
Cyber Trust Austria Silver Certification at PrimeFaktor GmbH
Cyber Trust Austria Silver Certification
- Led application and implementation of the Cyber Trust Austria Silver label (KSV1870 Cyber Risk A-Rating; 25 validated controls)
- Mapped and fulfilled requirements covering risk management, incident response, access control, vulnerability and penetration testing, BCM, and supply-chain security, aligned with ISO/IEC 27001/27002 control themes and NIS 2 / NISG 2026 expectations
- Coordinated stakeholders, compiled audit evidence, and completed KSV1870 validation
John A.
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.
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.
Manuel M.
Last position:
ERP Process Modeling at Richter Pharma AG
Migration preparation for the upcoming ERP system change: recording all ERP-related business processes, analyzing pain points, and consolidating them into process views. Ensuring that every process can be transferred to the target system or that an alternative exists. Result: a solid working basis for system integrators and a company ready for migration.
BPMN · Camunda
Tobias F.
Last position:
CTO & Founder at bitminds
Selected projects:
Kiosk platform – Hospitality
- Led a 3-person team while taking a hands-on role in designing an edge computing infrastructure for over 15 self-service kiosks in Alpine hotels with unstable connectivity
- Designed a Nomad-based cluster with a Wireguard mesh network for fully automated OTA updates, even during local network outages and offline operation
- Integrated physical peripherals (hotel card readers, thermal printers) into a containerized deployment pipeline
- Reduced on-site maintenance visits by ∼40% with a resilient offline-first architecture and Prometheus-based hardware monitoring
- Tech: Nomad, Consul, Wireguard, NestJS, NextJS, Prometheus, Custom Hardware Provisioning
Multi-tenant SaaS platform – Insurance claims management
- Built and operated the Kubernetes infrastructure for a market-leading claims management platform (acquired by an S&P 500 company) — with strict compliance and availability requirements
- Designed a multi-tenant EKS cluster with tenant isolation, enabling cost-effective single-instance hosting for multiple customers
- Introduced dynamic spot instance node pools, reducing infrastructure costs by ∼20%
- Built fully automated deployment pipelines (Terraform + GitHub Actions) for uninterrupted releases during business hours
- Tech: EKS, Terraform, GitHub Actions, Prometheus/Grafana/Loki, PHP, GraphQL
Legacy ERP integration – Construction photo documentation
- Led a 2-person team in designing and building a real-time sync bridge between a legacy Microsoft Access ERP system (without an API) and a modern mobile photo app for construction quality control
- Developed a PostgreSQL pipeline with real-time listeners that extracts data from 1990s Access databases without disrupting existing workflows
- Built a resilient upload architecture using the circuit breaker pattern for unstable construction site connections (S3, NFS, Synology NAS)
- Saved 2–4 hours per week for each project manager through automated photo sync instead of manual USB/SD card transfers
- Tech: NestJS, PostgreSQL, React Native (Expo), S3, Synology API, Offline-First Architecture
Marc-Anthony T.
Last position:
Software Developer at Dawnguard.AI
- Took Dawnguard from initial product concept to a launched MVP within two months, building the backend platform and reducing cloud-environment scan times from approximately 40 minutes to under two minutes across 70 accounts.
- Designed and built the core resource discovery engine for Azure and AWS, enabling the frontend to visualise complex cloud environments and the AI to evaluate architectural patterns.
- Engineered distributed APIs and dynamic Cosmos DB schemas to support rapidly evolving product requirements and variable cloud-environment structures.
- Built the architecture-generation engine to support clients with 100+ cloud accounts and dynamically generate complete architectures containing approximately 25,000 resources.
- Developed custom data-generation tools that enabled the AI and frontend teams to simulate and test large-scale cloud architectures.
- Delivered backend features end to end by working with AI, frontend, and business stakeholders from technical design through implementation and testing.
Marcel S.
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.
Michail M.
Last position:
OpenShift / Kubernetes Consultant at cloudWerkstatt
Implementation and operation of OpenShift / Kubernetes solutions for customers, focusing on aspects such as storage, virtualization, security, logging, monitoring, and high availability. Support with application containerization and modernization.
Kurt B.
Last position:
Backend / Microservices Developer, DevOps, Test Automation at Fa. RCA, Rail Cargo Austria AG
- Backend / Microservices Developer, DevOps, Test Automation
- ~100 Developers, ~10 Teams, per Team: 1 PO, 1 ScrumMaster, 1UX, 1 Developers, 1 Tester
- .net core 8, 9, C#
- Microservices, Clean Architecture, MediatR, CQRS
- GraphQL, REST, SDL
- Azure DevOps, CI / CD pipelines, Azure Service Bus, Rabbit-MQ, Kafka, Azure App Configuration, Azure KeyVault, Azure Kubernetes AKS
- Splunk, dashboards, custom metrics, Elastic-Search, Kibana (ELK)
- Azure SQL Databases, Azure Cosmos DB
- Architecture decisions, event governance, COP (Backend, DevOps, FrontEnd, Test Automation)
- AI, Copilot, creating Test Templates
- Scheduler, Hangfire, Quartz
- Automated Unit and Integration Tests
- Automated E2E Tests, Playwright Test Automation, BDD, Gherkin, Cucumber
- Shipment tracking
- GIS, GPS data, geofence, geo search, position tracking, asset positions
- Jira, Confluence
- Focus on high-performance message-oriented architecture (~xx e6 messages / month / service)
- Structured logging, Serilog, OTel, Splunk, Application Monitoring
- Integration of different position data sources (GPS-based data) into AzureDataLake
Jori M.
Last position:
Agile IT Manager Healthcare Systems at MA01 Gov. Digital City
- Responsible for managing GMP-Critical systems
- Leading team of 20 professionals
- Vendor management with €15 M annual budget
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
Discover over 15,000 top freelancers
Statistics of experts using Kubernetes
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.8 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
85%
Master's degree or higher
68%
Doctorate
15%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Discover detailed Kubernetes rate benchmarks:
Explore rate insightsAverage rates of experts in Austria using Kubernetes
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Kubernetes 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 (93%)
- Banking and Finance (49%)
- Professional Services (47%)
- Healthcare (44%)
- Education (35%)
- Government and Administration (35%)
- Transportation (33%)
- Manufacturing (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Container orchestration
Kubernetes is an open-source system for deploying, scaling and operating containerized applications. It groups workloads into pods, schedules them across a cluster and keeps services available through declarative configuration. Teams use it for microservices, APIs, batch processing and internal platforms across public, private and hybrid clouds.
Core building blocks
A Kubernetes environment combines control-plane services with worker nodes, networking, storage and workload controllers. Strong specialists understand deployments, StatefulSets, DaemonSets, Jobs, Services, Ingress and persistent volumes. They also manage namespaces, resource requests, health probes, secrets and configuration so applications behave predictably in production.
Ecosystem and tooling
Kubernetes work often connects application delivery with infrastructure and security practices:
- Package releases with Helm or Kustomize
- Automate provisioning with Terraform or cloud-native tools
- Create delivery workflows with Argo CD, Flux or CI systems
- Monitor clusters with Prometheus, Grafana and OpenTelemetry
- Secure images, workloads, policies and access controls
When expertise matters
Companies bring in freelance Kubernetes specialists when a cluster must move into production, a platform needs reliable operations or a cloud migration is blocked by operational complexity. They can standardize environments, improve release processes, control resource use and document runbooks. In Austria, remote collaboration is common, while regulated or infrastructure-heavy projects may require on-site workshops and German or English communication.
Typical deliverables
A professional may deliver a cluster architecture, infrastructure as code, Helm charts, GitOps repositories and CI/CD integration. Other outputs include observability dashboards, backup and recovery procedures, security policies, upgrade plans and operational documentation. The right approach depends on the cloud provider, workload profile, compliance needs and existing team skills.
What strong specialists bring
Quality goes beyond creating a working cluster. Strong professionals explain trade-offs between managed Kubernetes and self-hosting, design for failure and test upgrades before production use. They know how networking, identity, storage and application behavior interact, and they leave behind clear ownership boundaries, repeatable automation and practical guidance for the people who operate the platform.
Frequently asked questions
Questions about Kubernetes? Start with the answers below.
Kubernetes is used to run containerized applications across a managed or self-hosted cluster. It automates scheduling, service discovery, scaling, rollouts and recovery for workloads such as microservices, APIs, data processing and internal platforms.
Kubernetes provides a broader control plane for resilient, distributed production workloads, while Docker Compose is usually simpler for local or small deployments. Nomad can offer a lighter operational model, so the right choice depends on workload complexity, team skills, cloud strategy and the surrounding ecosystem.
A strong Kubernetes specialist usually understands Linux, networking, containers, cloud infrastructure and infrastructure as code. Experience with Terraform, Helm, GitOps, CI/CD, observability, identity and security makes collaboration on a complete platform much easier.
The required experience depends on the risk and scope of the work. A straightforward development environment may need focused configuration skills, while a production platform calls for proven knowledge of upgrades, failure recovery, security, networking and operational ownership.
Kubernetes projects are often well suited to remote collaboration because configuration, automation and documentation can be reviewed in shared repositories. On-site sessions can still help with architecture workshops, access procedures or regulated environments, and teams should agree on German or English communication early.
A Kubernetes freelancer should first clarify workloads, traffic, storage, security, compliance and operational ownership. Early deliverables may include an architecture decision record, a deployment plan, a risk list and a small validated environment rather than an untested production cluster.
Look for repeatable infrastructure, clear manifests, controlled access and evidence of tested rollbacks and recovery procedures. A quality Kubernetes solution also includes useful monitoring, sensible resource limits, documented upgrade paths and explanations that the operating team can maintain.
With managed Kubernetes, the cloud provider operates much of the control plane and integrates services such as identity, networking and upgrades. Self-hosting offers more control but adds responsibility for availability, patching, backups and operational support, so the decision should reflect internal capability and compliance requirements.
The average hourly rate of freelancers in Austria who have used Kubernetes in their recent projects is 101 €, which corresponds to a daily rate of about 812 € based on an 8-hour working day.
Of the freelancers in Austria who have used Kubernetes in their recent projects, 85% hold at least a Bachelor's degree, 68% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Austria who have used Kubernetes in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Austria who have used Kubernetes in their recent projects are German (100%), English (100%), and Spanish (12%).
The most common industries among freelancers in Austria who have used Kubernetes in their recent projects are Information Technology (93%), Banking and Finance (49%), and Professional Services (47%).
The most common business areas among freelancers in Austria who have used Kubernetes in their recent projects are Information Technology (100%), Product Development (84%), and Project Management (63%).
Main locations of FRATCH Experts, who have recently used Kubernetes
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.
Vienna Graz 
Vienna Countries:
- Germany
- Austria
- Switzerland
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