Elasticsearch Experts in Austria
in minutes from over 15,000 CVs with the power of AI.Hire experts who tune search relevance, design indices and mappings, and keep logs, metrics, and content search responsive. They work with Elasticsearch, the Elastic Stack, and Kibana for clean search experiences and stable operations, matched fast with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used Elasticsearch
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.
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.
Emre Hayta
Last position:
DevOps Engineer at SIWA Online GmbH
- Planning and implementation of IT infrastructures for clients
- Automating deployments with AWS CloudFormation and AWS CDK
- Monitoring and optimizing cloud environments and the entire IT infrastructure
- Providing technical support and troubleshooting infrastructure issues
- Collaborating with development teams on CI/CD processes
Slavi Slavev
Last position:
Head of AI Enablement at REEVO Tech
- Architected enterprise AI strategy delivering 25% cost reduction through multi-LLM platform integration (Claude, OpenAI, Gemini) with intelligent routing and fallback optimization
- Drove operational excellence achieving 85% reduction in manual documentation and 3x faster campaign production through AI workflow automation and agent deployment across Slack and Microsoft Teams
- Established AI governance framework from ground up, implementing EU AI Act compliance, data redaction protocols, and safety filters aligned with DPIA standards
- Scaled AI adoption through structured onboarding programs, developing departmental workflows with secure access controls and comprehensive audit trails
- Implemented advanced RAG systems using Elasticsearch, Vertex AI, and Azure AI Foundry to improve knowledge access and output reliability
- Managed delivery through OKR framework coordinating cross-functional squads across 6-week project cycles to ensure strategic alignment and measurable results
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.
Vladislav Filipic
Last position:
Senior Test Automation Engineer / Test Manager at Stadt Wien – WUKSEA
- Creating test scenarios, manual test cases and test data using boundary value analysis and equivalence classes
- Executing functional and non-functional tests (manually with Postman and web application, automated with WebDriver, JUnit and NUnit)
- Setting up, automating and maintaining the test automation framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web front-end and SOAP API backend interfaces)
- Automating backend NUnit test cases in Visual Studio
- Test management: developing and implementing test strategy and test plans, controlling tests, quality ownership and prioritizing risk-based tests, as well as maintaining documentation in Confluence
- Detailed analysis and quality assurance of requirements
- Creating and maintaining Jenkins pipelines, ensuring quality in build & deployment
- Close collaboration with business analysts, developers, testers and test management
- Identifying, creating and tracking defects/bugs, with thorough test documentation
- Reporting test results and defect reports
- Monitoring test processes and continuous improvements
- Reviewing test data and test results in PostgreSQL database via pgAdmin
- Supporting effort estimation and backlog prioritization
- Analyzing and debugging 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
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.
Adrian Ion
Last position:
Strategic Technology Leadership & Digital/AI Transformation at Adrian Ion Consulting
- VCs, investors & CEOs: build or scale technology development in your (portfolio) company
- CTOs & senior technology leaders: experienced sounding board
- Traditional industries: increase value or optimize operations by further digitalization and AI
- Young technical leaders: build your leadership skills, technology-business interplay judgment, and strategic thinking, while under pressure to deliver
Patrick Hopfner
Last position:
Lead Frontend Developer at DB Cargo
- customer portal for different user groups
- scrum team member
- planning & implementation of single page application
- planning & connection to REST API backend
- Stack: azure devops, vite, typescript, react, react-router, react-query, react-table, db-ui
Kurt Blumenschein
Last position:
Backend / Microservice Developer, DevOps, Test Automation at RCA, Rail Cargo Austria AG
- Backend / Microservice Developer, DevOps, Test Automation
- ~100 Devs, ~10 Teams, per team: 1 PO, 1 Scrum Master, 1 UX, 1 Developer, 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, FrontEnt, Test Automations)
- AI, Copilot, creating test templates
- Scheduler, Hangfire, Quartz
- Automated unit and integration tests
- Automated E2E tests, Playwright test automation, BDD, Gherkin, Cucumber
- Tracking of shipments
- GIS, GPS data, geofence, geo search, position tracking, asset positions
- Jira, Confluence
- Focus on high-performance message-oriented architecture (~xx million messages per month per service)
- Structured logging, Serilog, OTel, Splunk, Application Monitoring
- Integration of different position data sources (GPS-based data) into Azure Data Lake
Jaroslav Abraham
Last position:
Child care, personal development and learning
Lulzim Bulica
Last position:
Centralized monitoring
- Setup and maintain Prometheus and Grafana via Docker for more than 2.000 services.
- Setup CI/CD with Ansible to provision and maintain Prometheus and Grafana.
- Metrics visualization and segregation in multiple dynamic dashboards.
- Setup of real time alerting for critical services.
Jasmin Gölder
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 Elasticsearch
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.6 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Transportation, Banking and Finance
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
62%
Master's degree or higher
38%
Doctorate
8%
Certifications per freelancer
3
Most common languages
German, English, Spanish
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 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 Elasticsearch
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
Search engine core
Elasticsearch is a search and analytics engine built for fast text search, filters, aggregations, and near real-time data exploration. Companies use it for site search, product discovery, log analysis, alerting, and dashboards when they need results that stay responsive under changing data.
Typical use cases
- Full-text search for websites, apps, and internal portals
- Log and event exploration across distributed systems
- Product search, filters, and faceted navigation
- Analytics over documents, tickets, catalog data, and content
Stack and tooling
Strong specialists work with mappings, analyzers, index design, shards, snapshots, and query DSL. They also know the Elastic Stack, especially Kibana, Beats, and Logstash, plus JVM tuning, JSON, and API-based integrations. In Austria, that mix is common in commerce, media, and operational monitoring teams.
When to bring in help
Bring in freelance expertise when search relevance is poor, indices grow messy, or queries slow down under load. The same applies when you migrate from older search setups, redesign schemas, or connect Elasticsearch to data pipelines and observability tools. You get focused delivery without long onboarding.
What good specialists do
A strong Elasticsearch professional can balance relevance, performance, and maintainability. They test analyzers, shape mappings carefully, and know when to use filters, scoring, aliases, or index lifecycle policies. They also document choices clearly so teams can operate the system after handover.
Hiring in Austria
For companies in Austria, remote collaboration is often fine for search design, troubleshooting, and tuning. On-site work can help when teams need workshop-style sessions, access to sensitive systems, or close coordination with local product and operations staff. Clear English is usually enough, while German helps in mixed business and support environments.
Frequently asked questions
Need clarity? These are the questions we hear most often about Elasticsearch.
Elasticsearch is used for fast search, filtering, and analytics on large sets of documents, logs, and events. Companies rely on it for website search, product discovery, content lookup, monitoring, and dashboards. It is a strong fit when users need quick, relevant results from changing data.
Elasticsearch is often compared with Solr and OpenSearch because all three support search and indexing. Teams usually choose based on ecosystem fit, operations style, and how much control they want over search tuning and cluster management. A good freelancer can explain the trade-offs in relevance, tooling, and maintenance.
A strong Elasticsearch specialist usually knows data modeling, API integration, and JSON well. Helpful adjacent skills include Kibana, Logstash, Beats, observability tools, and JVM-based systems. For search projects, they should also understand analyzers, stemming, synonyms, and ranking.
A small search setup may only need one specialist for design and implementation, while a complex platform needs deeper search and operations knowledge. Elasticsearch work becomes harder when there are many data sources, custom relevance rules, or strict uptime needs. The right expert should match the scope, not just the tool name.
Elasticsearch projects work well remotely when the specialist can access logs, indices, and stakeholders quickly. On-site time helps when teams need workshop sessions, migration planning, or fast alignment with product, operations, and support. For companies in Austria, many engagements combine both.
Look for slow searches, poor relevance, hard-to-maintain mappings, or unstable clusters. Elasticsearch also needs expert attention when data grows in messy ways or when dashboards and alerts no longer reflect what the business needs. Those are common signs that the implementation needs a reset.
A good Elasticsearch professional asks about data shape, query patterns, and business relevance before changing anything. They should explain mappings, analyzers, shard strategy, and failure handling in plain language. Strong work leaves behind clear choices, clean indices, and queries the team can maintain.
Elasticsearch does both. Many teams use it for application search and also for log analysis, alerting, and operational dashboards. That broader use is why experience with observability and data pipelines is often valuable.
The average hourly rate of freelancers in Austria who have used Elasticsearch in their recent projects is 92 €, which corresponds to a daily rate of about 735 € based on an 8-hour working day.
Of the freelancers in Austria who have used Elasticsearch in their recent projects, 62% hold at least a Bachelor's degree, 38% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Austria who have used Elasticsearch in their recent projects have 20 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 Elasticsearch in their recent projects are German (100%), English (100%), and Spanish (18%).
The most common industries among freelancers in Austria who have used Elasticsearch in their recent projects are Information Technology (100%), Transportation (47%), and Banking and Finance (41%).
The most common business areas among freelancers in Austria who have used Elasticsearch in their recent projects are Information Technology (100%), Product Development (82%), and Operations (65%).
Main locations of FRATCH Experts, who have recently used Elasticsearch
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
