Ansible Expert in Frankfurt
in minutes from over 15,000 CVs with the power of AIHire experts who automate server provisioning, configure cloud environments and build reliable deployment workflows with Ansible, Ansible Tower and Ansible Automation Platform. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Ansible
Reza N.
Last position:
Senior IT-Security Expert at Teambank AG
- Completed the integration of log sources into Microsoft Sentinel, including GCP workloads – centralized consolidation of all security-relevant events from Azure and GCP environments for complete end-to-end telemetry and comprehensive compliance evidence
- Developed custom rules and use cases based on the GFG Use-Case Library and the MITRE ATT&CK Matrix to cover company-specific threats and GFG-relevant scenarios with precise, mapped detection rules
- Tuned detection rules to minimize false positives, optimized detection thresholds, and modeled exceptions – enabling the SOC to work with relevant, prioritized alerts while reducing Mean Time to Detect/Respond
- Built SOAR capabilities in Sentinel by developing playbooks to automate recurring response processes such as containment, user and host isolation, and ticketing – shorter response times and 24/7 scalability
- Designed and built a log transformation solution to normalize and enrich incoming raw logs (GeoIP, CMDB, threat intelligence) and convert them into a consistent schema for high-performance KQL queries, use case logic, and correlations
- Managed Azure security through Azure Policies to enforce security and compliance standards, prevent drift, and continuously remediate deviations
- Operated the Defender XDR portal to link endpoint, identity, email, and SaaS signals with Sentinel findings, enable holistic incident triage, and orchestrate measures directly from XDR
Technologies: Microsoft Sentinel, Microsoft Defender XDR, Azure Policy, KQL, GCP, MITRE ATT&CK
Anthony M.
Last position:
Research and Development, AI for Enterprise at Mwanachama
- Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
- Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
- Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
- Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
- AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
Noel L.
Last position:
Founder & Lead Engineer at ausbildung-in-der-it.de
- Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
- Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
- Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
- Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.
Uday V.
Last position:
Senior Full Stack Java Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Valentin O.
Last position:
Network Architect at IT Service Provider - Public Sector
- Designed a network management strategy focused on NetDevOps principles and model-driven telemetry using YANG data models
- Conducted NETCONF/YANG workshops for L2VPN/L3VPN services over SRv6
- Automated configuration deployment in the testing environment with Ansible
- Developed end-to-end service measurement concepts with IPSLA and the Telegraf-Prometheus-Grafana stack
- Created the dual-stack architecture design (router + switch + firewall) including a detailed test plan; planned, executed, and documented acceptance tests for the management network
- Performed BSI IT baseline protection checks according to the IT-Grundschutz catalog (needs assessment, modeling, risk analysis, deriving measures)
- Protocols: SRv6, IPv6, MPLS, BGP, ISIS, OSPF, NETCONF/YANG, model-driven telemetry, IPSLA
- Systems: Cisco Crosswork Network Controller, SolarWinds Orion, Grafana, InfluxDB, Telegraf, Ansible, Git
- Components: Cisco NCS router series, Cisco Catalyst switch series, Cisco Firepower firewall series
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Oluwasegun A.
Last position:
Observability Specialist at ING GmbH
- Requirements analysis for the enterprise-wide observability platform.
- Creation of playbooks and pipelines for rolling out Envoy, OpenTelemetry Collectors, and OpenTelemetry Agents.
- Conducting load tests for capacity planning of metrics for the observability platform.
- Documentation and implementation of compliance standards for production readiness.
- Creation and design of RED metrics, spanmetrics, JBoss, and Tomcat dashboards for mission-critical applications.
- Setting up alerts for critical applications for proactive incident response.
- Integration of OpenShift applications into the enterprise-wide observability stack.
Jin-Ho Y.
Last position:
Server Migration Consultant at Unknown Client
- Linux server migrations: planning and execution of the migration with SLES Linux deployment of VMs in VMware 8.0
- Guiding colleagues on configuring Linux VMs with vSphere Auto Deploy
- Application operations: ensuring smooth operation of applications on migrated servers
- Operations manuals: revising existing manuals, updating and creating new ones as needed
- Reviewing service offers: adjusting and optimizing service offerings of external providers
- Logistics software, Red Hat Linux, Ansible, Confluence / Jira
Sven K.
Last position:
Generalist System Administrator at Enbw
- Automation of the (Linux-based) web landscape maintenance.
- Use of SALT, SuseManager, Wildfly, scripting and Kubernetes.
- DevOps tasks and use of Jira.
- Management of "special" applications as well as creating and helping with concepts.
- Focus on security, maintainability, integration and tooling/integration.
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Peter V.
Last position:
IT Consultant at Evotec KG
- Operation and administration of Windows 2016 / 2019 servers and domains
- Infrastructure services (Active Directory, ADFS, AD Azure Connect, DHCP, DNS, Group Policies)
- Consulting, support and troubleshooting of customer systems
- Documentation and concept design in the area of MS Active Directory
- Updating operation, process and system documentation
- Ticket handling (remote analysis and resolution via incident, change and problem management)
- Technologies: Windows 2022, Active Directory, ADFS, AD Azure Connect, DHCP, DNS, GPO, VMware vSphere, CheckMK, Exchange 2019, PowerShell, Jira, Confluence, Office 365, Matrix42, NetApp, Ansible
Axel B.
Last position:
Project lead for introducing Okta as an IAM system at Fritz Schäger GmbH & Co KG
- Project management
- Building an internal IAM team
- Okta
- Project management
- IAM processes
Delly F.
Last position:
Dad of 2 daughters at Family
Discover over 15,000 top freelancers
Statistics of experts using Ansible
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 19 years)
Position duration
1.8 years (Germany: 2.8 years)
Positions per freelancer
19 (Germany: 13)
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Banking and Finance, Telecommunication
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
83% (Germany: 82%)
Master's degree or higher
50% (Germany: 48%)
Doctorate
6% (Germany: 10%)
Certifications per freelancer
6 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
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 Frankfurt 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 Frankfurt using Ansible
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.
Ansible 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%)
- Banking and Finance (85%)
- Telecommunication (65%)
- Government and Administration (60%)
- Transportation (45%)
- Professional Services (45%)
- Automotive (40%)
- Healthcare (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Automation with Ansible
Ansible is an open-source automation tool for configuring systems, deploying applications and coordinating operational tasks. It uses readable YAML playbooks and an agentless model based mainly on SSH or WinRM. Companies use it to make infrastructure changes repeatable, reviewable and easier to scale.
Core capabilities
Ansible specialists turn manual runbooks into controlled automation. Typical deliverables include:
- Playbooks for Linux and Windows configuration
- Roles and collections for reusable automation
- Application deployment and release workflows
- Cloud and network resource provisioning
- Inventory, secrets and environment management
Ecosystem and tooling
The wider ecosystem includes Ansible Galaxy, Ansible Automation Platform, Automation Controller and execution environments. Strong professionals also work with Git, CI/CD systems, containers, Kubernetes, Terraform and public cloud services. They understand YAML, Jinja2 templating, modules, handlers, variables, tags and idempotent task design.
When companies need specialists
Freelance expertise is useful when automation has grown inconsistent or a team needs to standardize operations across environments. Common triggers include cloud migration, data-center modernization, release automation, configuration drift, security hardening and the replacement of fragile shell scripts. In Frankfurt, remote collaboration often works well, while regulated or infrastructure-heavy projects may benefit from local on-site workshops.
What good work includes
A capable Ansible professional starts with a clear inventory and an agreed target state. They create modular roles, protect credentials with Vault, validate changes before rollout and document how teams can maintain the automation. They also design for safe re-runs, limited privileges, useful logs and straightforward recovery when a task fails.
Choosing the right professional
Look for evidence of production playbooks, not only small scripts or tutorials. Ask how the professional handles secrets, testing, dependencies, rollback plans and differences between development and production. Experience with the surrounding operating systems, networks, cloud services and delivery pipelines matters because Ansible automation rarely operates in isolation. Clear communication in English, and German where local teams require it, helps Frankfurt-based projects move smoothly.
Frequently asked questions
Before you brief your next project: the most common questions about Ansible.
Ansible is used to automate configuration management, application deployment, infrastructure provisioning and operational workflows. It can manage servers, cloud resources, network devices and security settings through readable playbooks. Its agentless approach makes it practical for many existing environments.
Ansible is primarily focused on configuration, orchestration and application deployment, while Terraform is designed around declarative infrastructure provisioning and state management. Many teams use both: Terraform creates or changes infrastructure, and Ansible configures the resulting systems. The right combination depends on the boundary between platform provisioning and operating-system automation.
A strong Ansible specialist often works with Linux or Windows administration, Git, CI/CD, networking, containers and cloud services. Useful related knowledge includes YAML, Jinja2, Python, secrets management and infrastructure-as-code practices. Kubernetes and Terraform experience can also help when automation spans modern platform environments.
The required depth depends on the risk and scope of the automation. A small set of internal playbooks may need a professional who can structure roles and test changes, while a shared automation platform requires deeper knowledge of inventories, execution environments, permissions and governance. Production impact matters more than a simple duration label.
Ansible can automate on-premises servers, virtual machines, cloud services, network equipment and hybrid environments. Specialists use vendor modules, APIs, SSH, WinRM and carefully designed inventories to handle different targets. They should also account for authentication, connectivity, permissions and provider-specific behavior.
Ansible work is often well suited to remote collaboration because playbooks, inventories and documentation can be reviewed in shared repositories. On-site sessions in Frankfurt may still be valuable for access planning, architecture workshops or work involving sensitive infrastructure. Agreeing on communication, access controls and change windows early keeps delivery practical.
Ask for examples of modular, idempotent playbooks and discuss how the professional tests changes before production use. Good work includes protected secrets, clear inventories, meaningful documentation, predictable error handling and safe re-runs. Review whether the automation is maintainable by the internal team rather than dependent on one person.
Ansible Automation Platform builds on the Ansible automation engine with managed capabilities for controller-based execution, credentials, scheduling, governance and enterprise operations. The open-source Ansible community project can be enough for direct playbook use, while the platform is useful when many teams need centralized control. A specialist should explain which components the project actually requires.
The average hourly rate of freelancers in Frankfurt, Germany who have used Ansible in their recent projects is 100 €, which corresponds to a daily rate of about 803 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Ansible in their recent projects, 83% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Ansible in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Ansible in their recent projects are German (100%), English (100%), and French (15%).
The most common industries among freelancers in Frankfurt, Germany who have used Ansible in their recent projects are Information Technology (100%), Banking and Finance (85%), and Telecommunication (65%).
The most common business areas among freelancers in Frankfurt, Germany who have used Ansible in their recent projects are Information Technology (100%), Operations (75%), and Product Development (75%).
Main locations of FRATCH Experts, who have recently used Ansible
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 
Stuttgart 
Dusseldorf 
Leipzig Countries:
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