Ansible Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Ansible
Santhosh Kannan
Last position:
Freelance Software Engineer at Zalando SE
- Support Authorization as a Service initiative for enterprise-scale authorization platform
- Incorporate comprehensive observability solutions into authorization infrastructure
- Provision and manage AWS infrastructure for authorization services
- Mentor development team on AWS and Kubernetes best practices
- Tech Stack: Java/Kotlin, Golang, Python, OPA, Spring Boot, AWS, Kubernetes, Terraform, ELK Stack, Prometheus, Grafana
Victor Omojoye
Last position:
AI Training Engineer at Confidential AI Research Client
- Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
- Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
- Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
- Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.
Jan Krol
Last position:
Data Expert at Manufacturing
Mathias Wilhelm
Last position:
Implementation of an on-premise OCR solution with information extraction at Mindhopper GmbH
- Insurance service provider*
Challenge: Business-critical documents were processed through external OCR providers, with ongoing costs, dependency, and data privacy risks for sensitive insurance data.
Implementation:
- Architecture and production implementation of an on-premise OCR solution with full data ownership
- Methods for recognizing document structures as the basis for automated further processing
- ML-, NLP-, and LLM/VLM-based information extraction, especially from invoices and quotations
Success: Replaced external providers: full data ownership, GDPR-compliant processing, and 75% lower recurring OCR costs per year
Used technologies: Python, Docker, Microservices, FastAPI, PyTorch, Torchvision, MongoDB, MySQL
Qaiser Abbasi
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Bertrand Rothen
Last position:
Interim IAM Product Owner (Identity Management) at REWE digital GmbH
- Establishing Identity & Directory Management as a new (split-off) team & product within the IAM cluster.
- Leading the “Identity & Directory Management” product (8 people) as Product Owner.
- Concept for ‘Digital Identities’, i.e. IDs with n users/accounts and strategy for a modernized product offering.
- Upgrading APIs, migrating to a containerized infrastructure, rolling out international markets & standardized solutions across the REWE enterprise group.
- Tech: OpenText™ (NetIQ) eDirectory & Identity Manager, LDAP, SAP HR/HCM, Docker/Kubernetes/Podman, REST APIs, Microsoft Active Directory & Entra ID, postgresDB, Keycloak, Ansible, Cyberark (PAM), Apache Kafka, Jira, Confluence, Miro.
Tobias Jaeuthe
Last position:
Design of an AI-Agent-Based ERP System
- Design of an LLM-based agent system to control the ERP software
- Development of agent workflows with LangGraph and PydanticAI
- Planning interfaces between business logic and language models
- Planning agent orchestration
- Prototype development and demonstration
Tools: Python, Pydantic, React, LangChain, LangGraph, Linux
Jorge Pérez Suárez
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Daniel Stopp
Last position:
Frontend and Web Developer at Datalyze Solutions
- Frontend development and implementation of various designs (landing pages, overview pages)
- Responsible for the content and updates of the Datalyze Solutions company website
- Joint planning and development of an admin application for listing and locating real estate projects (CBRE)
- Joint planning and development of extensive solutions for automatic staff allocation in plants (Bosch)
- Backend development of various small projects with different stacks
- Tech stack: GitLab CI/CD, Elixir, Phoenix Framework, Ecto, PostgreSQL, Docker, Hetzner, Traefik, NGINX, Python, Flask, Next.js/React, Leaflet, GeoServer, TypeScript, MongoDB
Alexander Vitanyi
Last position:
Product Owner at FI-TS
- Rebuilding an existing cloud solution with Kubernetes, Terraform, Ansible, Prometheus, Grafana, GitLab, Argo CD and PostgreSQL
- Coordinating and managing external partners and service providers
- Ensuring service delivery on time and on budget with budget responsibility
- Integrating the cloud solution with external public clouds (AWS)
- Setting up and defining processes and workflows in Jira and Confluence
- Product management of software development for automation and self-service in CI/CD DevOps mode
- Agile software development with Kanban and Scrum in various development teams
- Single point of contact for key customers in respective projects
- Creating and aligning the product backlog with stakeholders from sales, architecture, development teams, marketing, management and customers
- Migrating existing customers to the AWS cloud as product owner
- Creating and aligning a product roadmap with internal and external stakeholders
Olaf Nouvortne
Last position:
Frontend Engineer at Danaher/Hach Lange GmbH
- Developed a SolidJS frontend UI for a spectrometric water analysis system on an ARM-based embedded Linux platform
- Prototyped UI in TypeScript React/Nx with LitElements and MQTT integration
- Built production UI using SolidJS, SUID, i18next, Ajv, MQTT.js, C3.js
- Refined requirements with UX team and water analysis system engineers
- Defined and documented system architecture, MQTT message formats, frontend architecture, and development setup
- Set up frontend system from scratch, implemented domain-oriented type system, UI components, and application state
- Managed MQTT pub/sub services and schema-based message validation in frontend
- Coached two junior frontend developers
- Worked in an agile remote team using JIRA, Git, and Bitbucket
Thomas Merkel
Last position:
Lead Cloud Infrastructure Engineer at TrackCode GmbH
- Developing GitHub Actions/pipelines for automatic application deployment
- Supporting the provisioning of Helm charts for the CI/CD infrastructure
- Rebuilding and migrating a Kubernetes cluster using Rancher
- Creating IaC with Terraform for Kubernetes and additional services (monitoring, databases)
- Deploying a highly available Percona Galera cluster (MySQL)
- Implementing a centralized monitoring and logging infrastructure
Christopher Mäuer
Last position:
Mobile & Full-Stack Engineer at Propstack GmbH
- Refactored the mobile app by reimplementing stores, models, API client, screens and components using Typescript
- Added performant on-device storage for stores as preparation for offline mode
- Integrated RNUILib to achieve a minimal and modern UI design quickly
- Implemented native packages to provide additional features such as displaying of caller IDs
- Planned feature development and UX improvements following initial refactoring and redesign
Daniel Boesswetter
Last position:
Senior Cloud Consultant and Developer at SDIA/Leitmotiv
- Consulting an NGO in the field of data center sustainability in publicly funded projects (BMUKN with NADIKI and Federal Environment Agency with SIEC)
- Development of Python APIs and web applications, deployment on AWS/ECS with Terraform
- Collecting power consumption metrics for servers, CPUs, GPUs running AI workloads
- Technologies used: AWS, EC2, ECS, Fargate, CloudMap, VPC, Route53, Lambda, EventBridge, CodeBuild/CodePipeline/CodeDeploy, Terraform, Docker, Linux, Bash scripting, Python, Flask, SQLAlchemy, SQL, MariaDB, InfluxDB, Telegraf, Prometheus, Zabbix, Kubernetes, Letsencrypt, certificate management
Khaled Mohamed
Last position:
Senior/Staff Backend Engineer at Heycar (Mobility Trader GmbH)
- Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
- Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
- Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
- Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
- Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
- Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
- Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.
Discover over 15,000 top freelancers
Statistics of experts using Ansible
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 19 years)
Position duration
2.1 years (Germany: 2.8 years)
Positions per freelancer
11 (Germany: 14)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Education
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
76% (Germany: 82%)
Master's degree or higher
29% (Germany: 48%)
Doctorate
6% (Germany: 10%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
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 Berlin 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 Berlin 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Infrastructure automation
Ansible is used to automate system setup, configuration, and repeatable operational tasks. It fits server provisioning, application rollout, patching, and day-to-day admin work across mixed Linux and Windows estates. Teams choose it when they want clear, readable automation without heavy agent management.
Core ecosystem
A strong Ansible specialist works with playbooks, inventories, roles, modules, and collections. They also know how to structure variables, secrets, and reusable task files so automation stays maintainable. In larger environments, they connect Ansible with Git, CI pipelines, and cloud tooling.
Typical delivery
- Environment bootstrap and baseline hardening
- Application deployment and configuration drift control
- Cloud instance and service provisioning
- Patch, restart, and maintenance workflows
- Operating system and middleware standardization
When to bring in help
Companies often look for Ansible expertise when manual changes have become risky or too slow. Freelance specialists are useful for legacy estates, cloud migrations, and cleanup work after ad hoc scripts have spread. Berlin teams also bring in remote or on-site help when internal staff need support with documentation, review, or handover.
What strong specialists do
Good professionals write idempotent automation that can run safely again and again. They test before rollout, keep tasks small, and make failures easy to trace. They also understand SSH access, privilege escalation, YAML structure, and how to keep secrets out of source files.
Berlin fit
In Berlin, Ansible is common in product companies, SaaS teams, agencies, and infrastructure-heavy operations that need reliable release and environment control. Projects may involve English-first collaboration, but local workshops, handover sessions, and internal documentation often benefit from German-speaking support when teams prefer it.
Frequently asked questions
Need clarity? These are the questions we hear most often about Ansible.
Ansible is used to automate setup, configuration, deployment, and routine maintenance across servers and cloud systems. Companies use it to keep environments consistent, reduce manual work, and make changes repeatable. It is especially useful when many systems need the same configuration with clear, readable tasks.
Ansible is usually chosen for configuration management and operational automation, while Terraform is stronger for infrastructure provisioning. Puppet focuses more on long-running configuration enforcement with an agent-based model. If your team wants simple, human-readable automation that runs over SSH, Ansible is often the easier fit.
A strong Ansible specialist usually knows Linux administration, YAML, Git, and basic shell scripting. For cloud work, familiarity with AWS, Azure, or Kubernetes can help a lot. Security, secrets handling, and CI/CD pipeline knowledge are also common and useful.
A small Ansible cleanup or playbook review may need only one experienced specialist. Larger rollouts, legacy estate standardization, or shared role design usually need someone who has worked through several real deployments. The key is not seniority on paper, but proven ability to keep automation safe and maintainable.
Yes, Ansible projects work well with remote collaboration because the work is mostly code, review, and documentation. In Berlin, many teams mix remote delivery with occasional on-site sessions for access review, stakeholder alignment, or handover. Clear task ownership matters more than physical presence.
Look for evidence that the Ansible specialist writes idempotent playbooks, uses roles well, and can explain why a task is structured a certain way. Ask for examples of testing, error handling, and secret management. Good professionals also document their work so another specialist can maintain it later.
Yes, Ansible works well in hybrid setups because it can manage cloud resources, virtual machines, and traditional servers from one place. It is often a good choice when teams need one automation layer across old and new systems. If you need fast operational consistency, it remains very practical.
A typical Ansible engagement may deliver playbooks, roles, inventories, documentation, and rollout guidance. You should also expect clear naming, reusable task structure, and notes on how to run or extend the automation. For larger work, testing and handover materials are important signs of quality.
The average hourly rate of freelancers in Berlin, Germany who have used Ansible in their recent projects is 102 €, which corresponds to a daily rate of about 817 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Ansible in their recent projects, 76% hold at least a Bachelor's degree, 29% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Ansible in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used Ansible in their recent projects are German (100%), English (100%), and French (16%).
The most common industries among freelancers in Berlin, Germany who have used Ansible in their recent projects are Information Technology (96%), Automotive (36%), and Education (36%).
The most common business areas among freelancers in Berlin, Germany who have used Ansible in their recent projects are Information Technology (100%), Product Development (80%), and Operations (60%).
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.
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Leipzig Countries:
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FRATCH CEO
