Elasticsearch Experts in Austria
for fast, precise AI matching with vetted, available freelancersHire experts who design search experiences, build observability pipelines with Elastic Stack, and tune large-scale indexing and relevance. FRATCH matches you quickly and precisely with vetted, available freelancers for remote or on-site work in Austria.
Meet FRATCH Experts in Austria, who have recently used Elasticsearch
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 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 H.
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
Jaroslav A.
Last position:
Child care, personal development and learning
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
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.
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.
Vladislav F.
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 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
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.
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
Kurt B.
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
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
Lukas G.
Last position:
Freelancer at Freelancer
- Web Applications
- E-Commerce solutions
- Frontend Engineering
Discover over 15,000 top freelancers
Statistics of experts using Elasticsearch
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.7 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 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 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 19 Sep 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 (47%)
- Banking and Finance (41%)
- Education (29%)
- Energy (29%)
- Insurance (24%)
- Professional Services (24%)
- Government and Administration (24%)
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. Companies use it to index structured and unstructured data, return relevant results quickly, and support filtering, faceting, autocomplete, and aggregations. It powers product search, document portals, log analysis, and personalized content discovery.
Elastic ecosystem
The wider Elastic Stack combines Elasticsearch with Kibana for exploration and dashboards, Logstash for data movement, and Elastic Agent for collection and management. Strong specialists also work with Beats, Elastic integrations, REST APIs, client libraries, and deployment options such as Elastic Cloud, Kubernetes, and managed infrastructure.
Project applications
- Product catalogs with faceted navigation and typo-tolerant search
- Log, event, and security data analysis in Kibana
- Centralized document search across business systems
- Autocomplete, synonyms, ranking, and relevance tuning
- Operational dashboards and alerting workflows
Elasticsearch can serve customer-facing experiences as well as internal analytics. The right data model depends on query patterns, update frequency, access rules, and the consistency expectations of each system.
When expertise matters
Companies often bring in freelance specialists when search quality is poor, indexing has become difficult to maintain, or an existing cluster needs a safe redesign. Expertise is also valuable during migrations from Solr or another search service, Elastic Stack rollouts, Kubernetes deployments, and performance investigations. In Austria, remote collaboration can work well when documentation and communication are clear; on-site workshops may help with complex stakeholder or data-integration work.
Skills around Elasticsearch
Effective work requires more than writing queries. Specialists understand mappings, analyzers, tokenization, synonyms, relevance scoring, shards, replicas, refresh behavior, snapshots, and lifecycle policies. They commonly connect Elasticsearch to Java, Python, JavaScript, SQL systems, message brokers, cloud services, and observability tools while protecting sensitive data and controlling operational cost.
Evaluating specialists
Look for professionals who can explain why a mapping, analyzer, or query strategy fits the business requirement. A useful evaluation includes a review of index design, relevance tests, ingestion reliability, recovery procedures, and monitoring. Strong specialists measure search outcomes with representative queries, document trade-offs, and leave maintainable dashboards, runbooks, and deployment configuration behind.
Frequently asked questions
Need clarity? These are the questions we hear most often about Elasticsearch.
Elasticsearch is used for fast full-text search, filtering, aggregations, log analysis, and operational analytics. It can support customer-facing product discovery, internal document search, security investigation, and observability workflows.
Elasticsearch and Solr both use Apache Lucene and support sophisticated text search, filtering, and distributed indexing. Elasticsearch is often selected for its broader Elastic Stack ecosystem, while a cloud search service may reduce infrastructure work but offer less control over configuration and deployment.
A strong Elasticsearch specialist should understand data ingestion, REST APIs, application integration, and query performance. Useful adjacent skills include Kibana, Logstash, Elastic Agent, Kubernetes, cloud infrastructure, security controls, and programming with languages such as Java, Python, or JavaScript.
The needed depth depends on the project. A basic search integration may need focused application and query knowledge, while a production cluster requires expertise in mappings, shard design, upgrades, backups, monitoring, security, and failure recovery.
Yes. Elasticsearch work is often suitable for remote collaboration when access, documentation, environments, and deployment responsibilities are well defined. On-site sessions in Austria can still be useful for discovery workshops, data-governance discussions, or coordination with teams handling sensitive systems.
Ask the specialist to connect technical choices to search behavior and business requirements. A capable Elasticsearch professional can demonstrate relevance testing, explain mappings and analyzers clearly, review ingestion and recovery plans, and show how monitoring will reveal indexing or query problems.
Elasticsearch is the search and analytics engine at the center of the Elastic Stack. The stack also includes tools such as Kibana, Logstash, Elastic Agent, and integrations for collecting, transforming, visualizing, and securing data.
No. Elasticsearch is well suited to relevance-based search, flexible filtering, and analytics over indexed data. A relational database may be a better primary system for transactional consistency, complex joins, or workflows where immediate updates and strict record integrity are more important than search speed.
The average hourly rate of freelancers in Austria who have used Elasticsearch in their recent projects is 95 €, which corresponds to a daily rate of about 756 € 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 2.7 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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
