OpenSearch Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used OpenSearch
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility
Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture
Pipeline orchestration with Azure Data Factory
Improved and automated the development and deployment process by integrating Git and GitHub Actions
Technical leadership of the Data Engineering team (3 employees)
Led workshops to optimize and stabilize the data platform and development process
Collected and prioritized new requests and maintained the product backlog
Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS Sharepoint, Mural
Ales L.
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Nasif M.
Last position:
Solution Architect at SAP
Red Hat OpenShift Container Platform
Scope:
- Operation and configuration of the Red Hat OpenShift Container Platform, including network, storage, and security design.
- Implementation of centralized observability solutions (Prometheus, Grafana, alerting).
- Development of CI/CD pipelines, GitOps workflows, and automation frameworks.
- Training and enablement of operations and development teams.
Result: Accelerated service delivery, transparent operational metrics, and sustainable knowledge transfer.
Alexander G.
Last position:
DevOps / Platform Engineer at Cologne Intelligence GmbH
- Built and further developed an AWS landing zone based on Terraform / OpenTofu (multi-account structure, IAM baselines, network and security standards)
- Designed and operated platform-oriented AWS architectures to standardize infrastructure and operations processes
- Built and operated Kubernetes-based platforms (EKS) as a shared runtime environment for application teams
- Established GitOps-based deployments with Argo CD and FluxCD
- Developed and operated central CI/CD platforms (GitLab CI, GitHub Actions, Jenkins)
- Enabled development and project teams through reusable platform building blocks
- Introduced and implemented FinOps structures (AWS Cost Explorer, CUR + Athena, Infracost, Grafana dashboards)
- Built and operated central observability platforms (Prometheus, Grafana, Loki, Alertmanager, CloudWatch)
Stephan F.
Last position:
AI & Data Engineer - Azure Enterprise AI and Knowledge Engineering at IB Schlegel - King
Designed and developed an Azure-based AI and data platform transforming distributed project documents into searchable, structured knowledge for an enterprise AI assistant. Combined incremental document processing, hybrid keyword/vector retrieval, knowledge graph extraction, and conversational AI for Microsoft Teams and Microsoft 365 Copilot. Implemented Python document-processing pipelines for PDF, Word, Outlook and text files; Azure Cosmos DB lifecycle management; Azure AI Search; Azure AI Foundry and Azure OpenAI; identity-aware retrieval with Microsoft Entra ID; project authorization; a TypeScript Microsoft Agents SDK agent; Pulumi infrastructure; resilient scheduling, retry and diagnostic tooling. Technology stack: Python, TypeScript, FastAPI, Pydantic, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Cosmos DB, Blob/Table Storage, Container Apps/Jobs, Service Bus, Key Vault, Entra ID, Docker, Pulumi, pytest, Microsoft Teams and Microsoft 365 Copilot.
Caleb C.
Last position:
Senior Python Backend Engineer at Simon-Kucher
Transmission system operator – network provisioning platform (team lead)
- Designed the saga orchestrator in Python that provisions network fabrics with rollback.
- Split IP, identity, and resource allocation into bounded contexts with their own databases and typed clients.
- Implemented data access using DDD repositories and units of work, with no SQL in the domain code.
- Required integration tests using real PostgreSQL and RabbitMQ containers, and API fuzzing for every service.
- Introduced an agent workflow where a spec starts each change and a human approves every merge.
- Rolled out OpenTelemetry auto-instrumentation through GitOps across eighteen Kubernetes clusters.
- Led incident response for stuck provisioning and recorded every outage as a post-mortem.
Languages and software used: Python, FastAPI, Pydantic v2, SQLAlchemy async, PostgreSQL, RabbitMQ, Celery, pytest, testcontainers, schemathesis, Helm, Flux CD, GitLab CI, OpenTelemetry, pi coding agent.
Software product company – datacenter simulation SaaS (backend development)
- Built the asynchronous simulation pipeline as the second-largest contributor among more than twenty team members.
- Tagged every image by commit SHA and semver in the GitHub Actions deployment workflows.
- Diagnosed the RabbitMQ memory alarm that froze every simulation and fixed the limits in the Helm chart.
- Converted the test suite to function-style pytest, with coverage reported in every pipeline.
Languages and software used: Python, FastAPI, SQLAlchemy, Alembic, Celery, RabbitMQ, Redis, PostgreSQL, S3, EKS, Helm, Keycloak, GitHub Actions, pytest, mypy, ruff, SonarQube.
Internal AI platform – model serving and telemetry
- Built the FastAPI service that deploys open-weight models on GPU tiers as OpenAI-compatible endpoints.
- Upgraded production EKS by two Kubernetes minor versions and fixed zone-bound storage faults.
- Traced every model call, including its token count, cost, and latency, through the OpenTelemetry operator.
Languages and software used: Python, FastAPI, vLLM, LangGraph, pydantic-ai, OpenAI and Anthropic APIs, EKS, Helm, Flux CD, Terraform, GitLab CI, OpenTelemetry, Grafana.
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Benito E.
Last position:
Cloud DevOps Engineer und Cloud Architekt at Energieversorgungsunternehmen (anonymisiert, NDA)
- Design and build of a fully isolated AWS offline environment with no outbound internet access for running a browser-based business application
- Design and implementation of a proxy and response service that terminates all external application calls inside the VPC and serves them from locally stored content; identification of the actual communication needs through measurement-based DNS query logging
- Creation of architecture designs and decision papers including a comparison of options (Application Load Balancer with Lambda and S3, reverse proxy on EC2, private API Gateway) assessed by operational effort, cost, and availability
- Transfer of the solution and operations documentation previously available only for Azure to an AWS target architecture, including reassignment of all services and operational processes
- Automated rollout as Infrastructure as Code (Terraform, CloudFormation) with CI deployment via GitHub Actions, plus setup of private DNS zones and an internal certificate chain for operation without internet access
- Creation of architecture, deployment, and operations documentation and handover to the customer
- Build-up of a private cloud platform on OpenStack at provider TelemaxX with Terraform, including FortiGate HA clusters, FortiManager, and Kubernetes
- Introduction of Policy as Code (Open Policy Agent, Conftest) as well as development of MCP servers (Model Context Protocol) to connect AI assistants to operations and project tools
Successes:
- Made the business application fully operable without internet access for the first time; the cause of the loading error was narrowed down systematically to missing CORS headers after the likely certificate issue was ruled out
- Fully transferred an existing Azure concept to AWS and replaced the manually created environment with a reproducible, CI-based rollout
Technology stack: AWS (VPC, Application Load Balancer, Lambda, S3, Route 53 private hosted zones and Resolver query logging, IAM, CloudWatch, EC2, CloudFormation), Infrastructure as Code (Terraform, CloudFormation, Remote State), CI/CD (GitHub Actions with OIDC, Azure DevOps Pipelines), OpenStack, FortiGate, FortiManager, Kubernetes, Policy as Code (Open Policy Agent, Conftest), offline and air-gap architectures, PKI & certificates (internal CA, TLS, CRL/OCSP), DNS, network segmentation, Linux, Windows Server, Python, Bash, PowerShell, YAML, JSON, architecture design & decision papers, documentation (Confluence, Markdown), Generative & Agentic AI (Model Context Protocol, Agentic AI Coding Tools)
Thomas P.
Last position:
Unix/Linux Administrator at BDAV Verwaltungs GmbH
- Consulting and project management to build an AI-based automation platform for market data analysis
- Automated testing of financial data
- Market data automation with Python and N8N
- AI data integration and AI learning
- Use of Ollama and Qwen
- Data organization and database management
Daniel L.
Last position:
Developer / Software Architect at rffl.io
- PHP 8.4
- Platform for prize draws: API-first approach with Symfony/API Platform
- API Platform 4.2 (REST, JWT, Doctrine/PostgreSQL, API documentation) plus AWS tools
- Symfony 7.3 for infrastructure, hosting, and subsequent operation on AWS with ECS
- Postgres
- AWS RDS, SQS, Fargate, RDS Postgres database, and AWS-SQS message queue
- Infrastructure management with Terraform
- After successful Terraform implementation, the next organizational step is to establish a GmbH
Olaf R.
Last position:
DevOps Architect / Consultant at Authority with increased security requirements
- Identification of requirements (legal, organizational, and technical)
- Design of solution architectures
- Evaluation of concepts and technologies
- Preparation of decision templates
- Architectural Decision Records (ADR)
- Coordination of implementation
- Review of implementations
- Documentation
Martin W.
Last position:
Security Auditor at MissionMe
- Environment: AWS, Ruby on Rails, GraphQL, React Native
- Penetration test for Backend, Android-App and iOS-App
Matthias W.
Last position:
DevOps Engineer at Interhyp AG
- Infrastructure management with Puppet and Terraform for consistent environments
- Maintenance and adaptation of Terraform scripts for Azure cloud deployment
- Migration of database systems and services to the Azure Cloud
- Introduction of GitOps with ArgoCD for fully automated deployments
- Adaptation and development of GitHub pipelines for CI/CD workflows
- Creation of Helm Charts for standardized deployments
- Migration of repositories from Bitbucket to GitHub
- Operation and performance optimization of an Oracle 19c Grid cluster (RAC, Dataguard)
- Setup and management of MongoDB instances (on-premise and Azure Kubernetes)
- Setup of PostgreSQL clusters in on-premise and Azure Kubernetes environments
- Migration of services, master data, and stored procedures from Oracle to PostgreSQL
- Troubleshooting and performance tuning of complex data infrastructures
- Installation, configuration, and upgrade of Tableau in the productive BI environment
- Development of sanity checks to monitor business processes and application logic
- Adaptation of the backup and recovery strategy to new requirements
- Execution of disaster recovery and point-in-time recovery
- Technologies used: Oracle 19c RAC Grid Dataguard, PostgreSQL 16, MongoDB, MySQL Cluster, Kubernetes (Azure), Tableau, Puppet, Terraform, ArgoCD, GitHub/Bitbucket, CheckMK, Prometheus, Grafana, Icinga2, Ubuntu/RHEL
Alexander S.
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Michael U.
Last position:
Senior Scrum Master/Agile Coach for Automated Driving at the Plant at BMW
- Analyzing and evaluating established corporate tools (Jira, Confluence, MS Teams, MS Planner, MS Project)
- Process redesign, transition support for external backend service providers
- Developing target agreements for the production plants involved worldwide
- Coordinating cross-functional requirements from plant teams and creating timelines with dedicated milestones (Gantt charts, etc.)
- Redesigning the project scope in Jira/Confluence and training in agile methods
- Carrying out requirements analyses and detailed development according to the V-model (project management)
Discover over 15,000 top freelancers
Statistics of experts using OpenSearch
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.7 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
79%
Master's degree or higher
56%
Doctorate
15%
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 Germany 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 Germany using OpenSearch
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.
OpenSearch 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 (98%)
- Retail (52%)
- Banking and Finance (46%)
- Media and Entertainment (41%)
- Automotive (39%)
- Professional Services (37%)
- Healthcare (35%)
- Education (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What OpenSearch does
OpenSearch is an open-source search and analytics suite for indexing, querying and exploring large volumes of structured and unstructured data. It supports application search, log analytics, security monitoring and operational dashboards. The project originated from Elasticsearch and Kibana code and now has its own APIs, plugins and release path.
Core building blocks
An OpenSearch deployment combines distributed indexes, shards, replicas and configurable mappings. OpenSearch Dashboards provides visual exploration, saved searches, alerts and operational views. Specialists also work with the Query DSL, aggregations, analyzers, vector search and access controls to shape reliable search experiences.
Ecosystem and tooling
OpenSearch connects to the systems that collect, transform and consume data across a company. Common work includes:
- Ingesting events with Fluent Bit, Logstash, Beats or custom pipelines
- Managing clusters through OpenSearch Service, Kubernetes or infrastructure as code
- Building dashboards, alerting rules and security analytics workflows
- Combining keyword retrieval with neural or vector-based search
Where companies use it
Teams use OpenSearch for product catalogs, document portals, internal knowledge search and customer-facing discovery. It also supports centralized logs, traces, threat detection and compliance investigations. In Germany, organizations in manufacturing, finance, retail and public services may bring in specialists to connect search and observability with existing data environments.
When freelance expertise helps
Companies often need external expertise during a migration from Elasticsearch, a new search rollout or a cluster redesign. Specialists can diagnose slow queries, unstable shards, weak relevance and rising storage demands, then deliver mappings, ingestion flows, dashboards and runbooks. Remote collaboration works well when access, documentation and ownership are clearly defined; on-site work can help with sensitive systems and workshops.
What strong specialists bring
Strong OpenSearch professionals understand both search behavior and distributed operations. They test analyzers and ranking against real user queries, plan shard layouts from workload patterns and protect data with roles, encryption and audit controls. They also monitor JVM pressure, refresh behavior, ingestion lag and query latency, while explaining trade-offs clearly to product and infrastructure teams.
Frequently asked questions
Not sure where to start with OpenSearch? These answers cover the essentials.
OpenSearch is used to index and search application content, product data, documents and event streams. Companies also use it for log analytics, observability, security monitoring, alerting and dashboards through OpenSearch Dashboards.
OpenSearch began as a community-driven fork of Elasticsearch and Kibana code, but it has developed its own project governance, APIs and feature roadmap. The right choice depends on licensing needs, existing integrations, managed-service preferences and the features required by the workload.
A capable OpenSearch specialist should understand Linux, networking, cloud infrastructure and container orchestration. Useful adjacent skills include Kubernetes, Terraform, Fluent Bit, Logstash, security controls, data modeling and application integration with REST or client libraries.
The right OpenSearch experience depends on the project risk and workload. A basic index and dashboard setup may need focused configuration skills, while migrations, high-volume ingestion, relevance tuning or production incidents call for a specialist who has handled comparable distributed systems.
Yes. OpenSearch work is often suitable for remote collaboration when repositories, monitoring access and deployment processes are available. For German organizations, language expectations, data access rules and occasional on-site workshops should be agreed before work begins.
OpenSearch fits teams that need open-source search, analytics and observability features in one ecosystem. A specialist should compare it with alternatives such as Solr, a hosted site-search service or a cloud-native analytics tool based on relevance needs, operational capacity and integration constraints.
Ask an OpenSearch expert to explain shard design, mappings, analyzers, query profiling and failure recovery in terms of your workload. Strong answers connect technical choices to relevance, resilience, security and operating costs, and include a clear approach to testing rather than relying on default settings.
An OpenSearch freelancer may deliver an indexed data model, ingestion pipelines, relevance configuration, dashboards, alerting and deployment automation. They can also document migration steps, access policies, monitoring signals and procedures for backups, upgrades and incident response.
The average hourly rate of freelancers in Germany who have used OpenSearch in their recent projects is 90 €, which corresponds to a daily rate of about 724 € based on an 8-hour working day.
Of the freelancers in Germany who have used OpenSearch in their recent projects, 79% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Germany who have used OpenSearch in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Germany who have used OpenSearch in their recent projects are German (100%), English (100%), and Spanish (13%).
The most common industries among freelancers in Germany who have used OpenSearch in their recent projects are Information Technology (98%), Retail (52%), and Banking and Finance (46%).
The most common business areas among freelancers in Germany who have used OpenSearch in their recent projects are Information Technology (100%), Product Development (91%), and Quality Assurance (61%).
Main locations of FRATCH Experts, who have recently used OpenSearch
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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