Redis Experts in Austria
in minutes from over 15,000 CVs with the power of AIHire experts who design fast caching layers, pub/sub flows, and low-latency data models with Redis, Redis Stack, and Redis Enterprise. Get matched with vetted, available specialists for production systems, scaling work, and urgent fixes.
Meet FRATCH Experts in Austria, who have recently used Redis
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.
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.
David Lynn
Last position:
Senior Full Stack Engineer at Fractual
- Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
- Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
- Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
- Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
- Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
- Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
- Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
- Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
- Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
- Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
- Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
- Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
- Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
- Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.
Thomas Urban
Last position:
Consultant at Henrich Baustoffe
- Developing the required views and KPIs in collaboration with the different departments and management
- Preparing and modeling the various data sources
- Implementing the company-wide and cross-department dashboard in Microsoft Power BI
Philipp Himmelfreundpointner
Last position:
Senior Software Engineer at ÖV Ticketshop GmbH
Worked on the national ticketing platform of ÖBB (Austrian Federal Railways) with over 200 engineers across multiple teams. Initially led the in-house migration of a third-party coupon management system under tight deadlines, delivering a full-stack solution successfully integrated into the enterprise environment. Subsequently maintained and evolved the system through continuous improvements.
Actively contributed to architectural evolution efforts, including the migration from Oracle to PostgreSQL, cloud adoption, introduction of Azure Service Bus, and the move toward a domain-driven, hexagonal architecture. Participated in the architecture board and platform standardization initiatives.
Initiated and led improvements to the internal documentation structure, enabling effective knowledge sharing across teams after several prior failed attempts. Served as Scrum Master, driving agile maturity within the team and fostering autonomy, collaboration, and smoother delivery through cross-team coordination and participation in organization-wide transformation circles.
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
Patrik Germann
Last position:
Engineering & Development at TOBG Services Ltd
- Increased system uptime and performance while decreasing costs. Managing server infrastructure for DLT and application services
- Design and implement AI-workflow automation
- Developed the stakit.io App using Redis, Prometheus, Grafana
- Creating a multi-AI chat App with advanced AI-integration
- Developing an AI-powered document analysis solution for in-house and service deployment
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
Mario Murrent
Last position:
Software Engineer at Labuniq GmbH
- Role: Software Engineer
- Tasks: Full stack development
- Technologies: NodeJS, TypeScript, LESS, Redis, JavaScript, Docker, Kubernetes, PostgreSQL, Git
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
Alexander Komar
Last position:
Freelancer at Zirkonzahn
- Implemented features into existing software, including applications for neural networks and rendering features using C# and WPF
- Collaborated in a team of 3 people
Dominic Wehrmann
Last position:
Engineer / Architect at Freelancer
- Magento 2
- Symfony
- Various technologies
Discover over 15,000 top freelancers
Statistics of experts using Redis
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
3 years
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Product Development, Legal
Bachelor's degree or higher
89%
Master's degree or higher
56%
Doctorate
11%
Certifications per freelancer
1
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 Redis
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
What Redis does
Redis is an in-memory data store used for caching, session data, queues, counters, and real-time features. Teams choose it when they need very fast reads and writes with simple data structures and predictable behavior. It often sits beside primary databases, not in place of them.
Common use cases
- Cache pages, API responses, and expensive database queries
- Store sessions, tokens, and short-lived user state
- Drive rate limits, leaderboards, and live counters
- Power pub/sub, streams, and background job flows
Ecosystem around Redis
Redis specialists work with Redis Stack, Redis Insight, Redis Enterprise, and client libraries in Java, Node.js, Python, and Go. They also know persistence options, replication, clustering, and backup strategies. Strong work covers both data modeling and operational setup.
When experts are needed
Companies bring in Redis expertise when latency rises, memory use grows, or a cache starts hiding data issues. They also need help during migrations, cluster changes, and incident recovery. In Austria, this often fits teams that run online services, logistics systems, fintech products, or internal platforms with strict response times.
What strong professionals deliver
A good Redis professional keeps key names clear, expirations consistent, and memory use under control. They understand when to use hashes, lists, sets, sorted sets, streams, or simple strings. They also test failure modes, tune connection handling, and prevent cache stampedes.
How collaboration works
Redis work can be remote when the task is architecture, code review, or tuning. On-site time helps when teams need live troubleshooting, cross-system debugging, or handover sessions with local stakeholders. For Austria-based companies, English is often enough, while German can help in day-to-day coordination.
Frequently asked questions
Need clarity? These are the questions we hear most often about Redis.
Redis is used for fast data access where a full database would be too slow or too heavy. Companies use it for caching, sessions, counters, queues, rate limits, and live updates. It is also common in systems that need pub/sub or stream processing for short-lived events.
Redis is usually the better choice when you need more than simple key-value caching. Compared with Memcached, it offers richer data structures, persistence options, replication, and cluster support. Compared with a database cache, it reduces load while keeping hot data very close to the application.
A strong Redis specialist understands data modeling, memory behavior, expiration policies, and connection management. They should also know how to work with client libraries, monitor latency, and design for failover. If the project is production-critical, cluster operations and incident handling matter too.
The right Redis variant depends on the use case. Redis Stack is useful when you need search, JSON, or vector features on top of core Redis behavior, while Redis Enterprise is chosen for managed scale, governance, or enterprise support. Many teams still run open source Redis when the feature set is enough.
A small Redis cache can be handled by a broad backend specialist, but harder projects need someone who has seen real production traffic. If you are dealing with clustering, persistence, eviction tuning, or job queues, look for a specialist who has solved those problems before. That reduces the risk of subtle outages.
Yes, most Redis work can be done remotely because it is usually software design, code change, and configuration work. On-site time is only necessary when teams want live troubleshooting or close coordination with local operations. For Austrian teams, remote collaboration is common as long as access and communication are clear.
Check whether the Redis professional talks about memory limits, eviction, persistence, and failure cases instead of only basic caching. Good answers should mention how they prevent cache stampedes, choose the right data types, and test recovery paths. Clear examples from production systems are a strong sign.
Redis work often sits next to PostgreSQL, MySQL, Kafka, RabbitMQ, and cloud services such as AWS or Azure. Specialists also need to understand application code, observability tools, and deployment automation. That broader view is important when Redis is part of a larger performance or event-driven system.
The average hourly rate of freelancers in Austria who have used Redis in their recent projects is 93 €, which corresponds to a daily rate of about 742 € based on an 8-hour working day.
Of the freelancers in Austria who have used Redis in their recent projects, 89% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Austria who have used Redis in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Austria who have used Redis in their recent projects are German (100%), English (100%), and Spanish (8%).
The most common industries among freelancers in Austria who have used Redis in their recent projects are Information Technology (100%), Banking and Finance (46%), and Transportation (46%).
The most common business areas among freelancers in Austria who have used Redis in their recent projects are Information Technology (100%), Product Development (92%), and Project Management (54%).
Main locations of FRATCH Experts, who have recently used Redis
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.
Countries:
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