Elasticsearch Experts in Austria
, matched in minutes by AIHire experts who design search architectures, tune relevance and build observability solutions with Elasticsearch, OpenSearch-compatible tooling and Kibana. FRATCH matches you with vetted, available freelancers who fit your needs quickly and precisely.
Meet FRATCH Experts in Austria, who have recently used Elasticsearch
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
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.
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
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
Slavi S.
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
Jaroslav A.
Last position:
Child care, personal development and learning
Joseph W.
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.
Jürgen E.
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.
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.
Maximilian G.
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
Patrick H.
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
Lulzim B.
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 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 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
64%
Master's degree or higher
50%
Doctorate
14%
Certifications per freelancer
3
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.
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Elasticsearch 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%)
- Transportation (44%)
- Banking and Finance (39%)
- Education (28%)
- Energy (28%)
- Healthcare (22%)
- Insurance (22%)
- Professional Services (22%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Search and discovery
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It indexes structured and unstructured data so applications can return relevant results quickly across products, documents, logs and customer records. Teams use it for full-text search, filtering, aggregations and near-real-time analysis.
Core capabilities
Strong Elasticsearch work combines index design, mappings, analyzers and query construction. Specialists define relevance rules, autocomplete, faceting and language-aware search while keeping response times predictable. They also plan shards, replicas, refresh intervals and lifecycle policies around workload and data growth.
Ecosystem and tooling
Elasticsearch commonly works with Kibana for exploration, dashboards and operational analysis. Logstash, Beats and Elastic Agent can collect and transform events before indexing, while APIs and client libraries connect applications in Java, Python, JavaScript and other languages. Knowledge of Lucene, JSON, REST and security settings is often essential.
- Design indices, mappings and analyzers
- Build relevance, autocomplete and filtering features
- Create Kibana dashboards and alerting rules
- Ingest logs, metrics and application events
Where it runs
Companies use Elasticsearch for ecommerce product search, content discovery, site search, fraud investigation and operational analytics. It also supports observability workflows that bring logs, metrics and traces into a searchable view. In Austria, teams across digital services, manufacturing, finance and public-facing organisations may need search that connects multiple data sources.
When to bring in a specialist
Freelance expertise helps when search quality is poor, clusters are unstable or an existing index has become difficult to change. It is also useful during a migration from a relational database search, Solr or another hosted search service.
- Relevance tuning does not reflect user intent
- Query latency changes under production load
- Mappings and shard layouts need redesign
- A secure ingestion and retention model is missing
What quality looks like
A strong professional explains trade-offs instead of treating every problem as a query problem. They test relevance with representative data, monitor heap use and cluster health, and document mappings, recovery procedures and index changes. For remote or on-site work in Austria, clear technical English and, where needed, German communication support effective collaboration with product and operations teams.
Frequently asked questions
Need clarity? These are the questions we hear most often about Elasticsearch.
Elasticsearch is used to search and analyse large volumes of structured and unstructured data. Common applications include product search, document discovery, log analysis, observability, security investigation and dashboards built with Kibana.
Elasticsearch is designed for flexible full-text search, relevance scoring, filtering and aggregations across indexed documents. A relational database remains better suited to transactional consistency and relational joins, so many systems use both rather than replacing one with the other.
Elasticsearch and OpenSearch share roots in Lucene and offer similar search and analytics concepts, but they are separate products with different release paths, APIs and ecosystem choices. The right option depends on licensing, hosting, existing integrations and the skills available to maintain it.
A strong Elasticsearch specialist often brings Lucene fundamentals, REST APIs, JSON, cloud infrastructure and scripting knowledge. Experience with Kibana, Logstash, Beats or Elastic Agent is useful for observability and ingestion work, while application-language expertise helps connect search to production systems.
The required depth depends on the work. A simple index and query integration may need focused search expertise, while relevance tuning, cluster redesign, migrations or high-volume observability require someone who has operated Elasticsearch in production and can test failure and recovery scenarios.
Yes. Elasticsearch work is often suitable for remote collaboration because requirements, mappings, dashboards and infrastructure can be reviewed online. On-site sessions may still help with architecture workshops, stakeholder interviews or access controls, and teams should agree on English or German communication expectations early.
Ask for a clear explanation of index design, analyzers, shard planning and relevance testing. A capable Elasticsearch professional should discuss monitoring, backups, security, upgrade planning and measurable acceptance criteria rather than focusing only on writing queries.
A freelancer is a good fit when a company needs targeted expertise for a migration, search redesign, performance investigation or observability rollout. Elasticsearch specialists can also review an existing setup, identify operational risks and leave behind documentation that the internal team can maintain.
The average hourly rate of freelancers in Austria who have used Elasticsearch in their recent projects is 97 €, which corresponds to a daily rate of about 773 € based on an 8-hour working day.
Of the freelancers in Austria who have used Elasticsearch in their recent projects, 64% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 14% 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 (17%).
The most common industries among freelancers in Austria who have used Elasticsearch in their recent projects are Information Technology (100%), Transportation (44%), and Banking and Finance (39%).
The most common business areas among freelancers in Austria who have used Elasticsearch in their recent projects are Information Technology (100%), Product Development (83%), and Operations (61%).
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 Countries:
- Germany
- Austria
- Switzerland
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Philipp Thomaschewski
FRATCH CEO
