CI/CD Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used CI/CD
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
Chrisabel P.
Last position:
AI Systems & Product Strategy Expert at Webmeisterin
I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.
Emre H.
Last position:
DevOps Engineer at SIWA Online GmbH
- Planning and implementation of IT infrastructures for customers
- Automation of provisioning with AWS CloudFormation and AWS CDK
- Monitoring and optimization of cloud environments and the entire IT infrastructure
- Technical support and troubleshooting for infrastructure issues
- Collaboration with development teams on CI/CD processes
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.
Yunus S.
Last position:
Senior Expert / Program Manager at Dolpheen IT
Senior Expert / Program Manager
IT Services
- Management of internal projects for infrastructure modernization: setup and maintenance of test environments that realistically replicate complex customer networks.
- Resource coordination: planning server capacities and cloud resources for automated test runs.
- Implementation of CI/CD pipelines to integrate automated tests into the build process.
- Evaluation of performance bottlenecks through load testing (NeoLoad/JMeter) to ensure scalability.
Tools / Technologies: Jenkins, Docker, GIT, ButBucket, NeoLoad, Azure
Mario M.
Last position:
Co-Founder and CTO at B2B SaaS Recruiting Platform
Complete build of a B2B SaaS platform for recruitment agencies
- Multi-source job aggregation via ATS APIs
- AI-assisted career page scraping
- Rule-based and AI-assisted matching
- Credit-based monetization model with Stripe integration
- Live in production since July 2026
Tech stack
- NestJS
- React
- PostgreSQL
- pgvector
- Claude AI
- Prisma
Nikola N.
Last position:
Founder and CEO - Senior Business Analyst at fintechno AI GmbH
- Business analysis
- Requirements engineering
- System design
- Various insurance projects
- Technology stack: msg.Billing (InExkasso)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Andreas S.
Last position:
Partner at Lemonbee
- Development of a power distribution solution for motorhomes
- Extension and adaptation of the existing prototype software for some parts of the power distribution system
- Development of missing firmware for other modules of the system
- Automation of the firmware build process through continuous integration (CI)
- Technologies used include C, Jira, Confluence, Git, GitHub, STM32, ESP32, CAN, CANopen, UART, and Zephyr
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
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.
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
Alexander L.
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
Vladislav F.
Last position:
Senior Test Automation Engineer / Test Manager at Stadt Wien – WUKSEA
- Creation of test scenarios, manual test cases and test data using boundary value analysis and equivalence partitioning
- Execution of functional and non-functional tests (manual with Postman and web application, automated with WebDriver, JUnit and NUnit)
- Setup, automation and maintenance of the Test Automation Framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web frontend and SOAP API backend interfaces)
- Automation of backend NUnit test cases in Visual Studio
- Test management: development and implementation of the test strategy and test plans, test coordination, quality responsibility and prioritization of risk-based tests, as well as documentation management in Confluence
- Detailed analysis and quality assurance of requirements
- Creation and maintenance of Jenkins pipelines, quality assurance during build & deployment
- Close cooperation with business analysts, developers, testers and test management
- Identification, creation and tracking of errors/defects, as well as careful test documentation
- Reporting of test results and defect reports
- Monitoring of test processes and continuous improvement
- Verification of test data and test results in a PostgreSQL database in pgAdmin
- Support with effort estimates and backlog prioritization
- Analysis and debugging of development code
System environment: Java, JUnit, Spring Boot, Selenium, Cucumber, JavaScript, Jenkins, C#, NUnit, Postman, Bitbucket, Confluence, Jira, xRay, pgAdmin, PostgreSQL, SonarQube, Maven, IntelliJ, Visual Studio, CI/CD, SOAP API interfaces
Discover over 15,000 top freelancers
Statistics of experts using CI/CD
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.6 years
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
86%
Master's degree or higher
60%
Doctorate
14%
Certifications per freelancer
3
Most common languages
English, German, French
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.
Average rates of experts in Austria using CI/CD
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.
CI/CD 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 (92%)
- Banking and Finance (42%)
- Healthcare (34%)
- Education (32%)
- Manufacturing (31%)
- Professional Services (29%)
- Retail (28%)
- Transportation (26%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Delivery pipelines
CI/CD combines continuous integration and continuous delivery or deployment into an automated path from code change to release. Teams use it to compile applications, run checks, package services and promote tested versions across development, staging and production. The approach makes software delivery repeatable and gives teams faster feedback when a change introduces a problem.
Automation stack
A CI/CD setup connects source control, pipeline runners, test frameworks, artifact repositories, container registries and deployment targets. Common ecosystems include GitHub Actions, GitLab CI/CD, Jenkins, Azure Pipelines and CircleCI, with Docker, Kubernetes, Terraform and cloud services often extending the workflow. Strong implementation also covers secrets, permissions, caching, environment configuration and release approvals.
Typical workloads
Companies bring CI/CD into many delivery scenarios:
- Automated unit, integration, end-to-end and security testing
- Container image builds and Kubernetes deployments
- Infrastructure and configuration changes through controlled pipelines
- Mobile, web and backend release workflows
- Rollbacks, feature flags and staged production releases
When specialists help
Freelance specialists are useful when releases depend on manual steps, pipelines are slow or failures are difficult to diagnose. They can design a delivery strategy, migrate legacy jobs, standardize workflows across repositories and connect software teams with cloud or infrastructure operations. They also help establish practical controls without blocking frequent delivery.
Skills that matter
Effective CI/CD work requires more than writing pipeline files. Professionals understand branching and merge strategies, test design, Linux, networking, containers, cloud identity, observability and infrastructure as code. They can secure credentials, manage reusable components, reduce flaky tests and explain how a change moves safely through each environment.
Choosing the right expertise
Look for evidence of pipelines that are clear, maintainable and tied to business risk. A strong professional can show how they measured delivery bottlenecks, handled failed releases and improved feedback without hiding problems. For teams in Austria, remote collaboration can work well when documentation, time-zone overlap and communication in the required team language are agreed from the start.
Frequently asked questions
What clients ask us most about CI/CD — answered in short.
CI/CD automates the path from a code change to a tested and releasable application. It can build software, run quality and security checks, publish artifacts, deploy to environments and support controlled rollbacks.
CI/CD replaces repeatable manual steps with versioned, observable automation. Manual releases may still suit very small or highly restricted changes, but they are more exposed to inconsistent procedures and missed checks as systems and teams grow.
A strong CI/CD specialist usually works with at least one major pipeline system such as GitHub Actions, GitLab CI/CD, Jenkins or Azure Pipelines. Useful adjacent skills include Git, Docker, Kubernetes, Terraform, cloud identity, test automation and monitoring.
The right CI/CD experience depends on the delivery risk, system architecture and existing automation. A simple pipeline may need focused configuration work, while a regulated or multi-service environment calls for someone who can design controls, migration steps, recovery paths and ownership models.
CI/CD is often well suited to remote collaboration because configuration, logs and reviews are accessible through shared systems. Austrian companies should define expected availability, documentation standards, language needs and access procedures before work begins, especially when releases involve on-site operations.
A quality CI/CD implementation gives fast, useful feedback and makes every deployment path understandable. It has secure secrets handling, reliable tests, traceable artifacts, clear approvals, useful logs and a tested response to failed or reverted releases.
Before taking on a CI/CD assignment, clarify the source-control model, target environments, release ownership, compliance constraints and current failure points. Also confirm access to runners, registries, cloud accounts, test data and observability tools so the scope reflects the real delivery path.
CI/CD is an approach rather than a single product, so tool choice depends on the surrounding ecosystem. GitHub Actions fits teams centered on GitHub, while Jenkins offers broad extensibility and control; GitLab CI/CD can be a strong option when source control, security and delivery are managed together.
The average hourly rate of freelancers in Austria who have used CI/CD in their recent projects is 97 €, which corresponds to a daily rate of about 779 € based on an 8-hour working day.
Of the freelancers in Austria who have used CI/CD in their recent projects, 86% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Austria who have used CI/CD in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Austria who have used CI/CD in their recent projects are English (100%), German (98%), and French (12%).
The most common industries among freelancers in Austria who have used CI/CD in their recent projects are Information Technology (92%), Banking and Finance (42%), and Healthcare (34%).
The most common business areas among freelancers in Austria who have used CI/CD in their recent projects are Information Technology (100%), Product Development (80%), and Quality Assurance (49%).
Main locations of FRATCH Experts, who have recently used CI/CD
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 Countries:
- Germany
- Austria
- Switzerland
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FRATCH CEO
