YAML Experts in Berlin
with precise AI matching and vetted, available freelancersHire experts who create reliable configuration for Kubernetes, CI/CD pipelines and infrastructure automation, while keeping complex environments clear and maintainable. FRATCH matches you quickly with vetted, available freelancers suited to your exact YAML requirements.
Meet FRATCH Experts in Berlin, who have recently used YAML
Can S.
Last position:
Platform Engineer at ClimateChoice
In a lean, execution-focused environment, I took ownership beyond a narrow engineering lane, shaping and implementing systems across backend, data, and infrastructure. Partnered directly with the three founders in a fast-moving, high-stakes environment, turning strategic priorities into concrete technical decisions and production outcomes.
- Owned core platform development across backend (Django/Rest Framework/Postgres), ETL (Python/Dagster), infrastructure (Terraform/Kubernetes/AWS), and frontend (typescript/react) for a climate-tech SaaS product, driving continuous cross-stack development across five repositories from October 2021 to this day.
- Architected and owned a standalone internal Python scoring framework for CRC assessments, using YAML-driven rules and metaprogramming to enable non-technical users to define complex evaluation logic without hardcoded implementations.
- Built and stabilized ETL and scraping pipelines using Dagster and Scrapfly, improving document ingestion, tagging, retry behavior, deployment flow, and operational resilience.
- Contributed to platform modernization and reliability through Django/Python upgrades, Postgres/RDS and EKS changes, CDN/TLS updates, test and performance improvements, and observability hardening.
- Drove backend engineering for product features, translating requirements into technical specifications, API contracts, data structures, and scalable implementation plans.
Daniel B.
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 Umweltbundesamt 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
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
- Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
- Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
- Orchestrated pipelines with Azure Data Factory
- Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
- Led the Data Engineering team (3 members) in a functional role
- Conducted workshops to optimize and stabilize the data platform and the development process
- Collected and prioritized new requests, 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
Ottavio B.
Last position:
Semantic Test Framework for LLMs
Claudia H.
Last position:
Founder & AI Product Lead at Unforgotten
- Conceived, built and iterated an applied-AI MVP that turns in-depth audio interviews into structured, long-form narrative outputs across multiple genres (e.g. memoir, institutional knowledge, thematic essays) using agentic orchestration and multi-step reasoning.
- Designed and implemented core workflows in a Next.js-based stack, working with structured representations (JSON and other formats), retrieval-augmented generation and emerging knowledge graph structures to maintain context and consistency over long documents.
- Defined and tested agent behaviors across realistic storytelling scenarios, including ideal user journeys, edge cases and failure modes, with explicit criteria for coherence, factual alignment and user intent satisfaction.
- Currently running targeted user tests with selected partners to validate use cases and inform the next product iterations.
Mohamed G.
Last position:
Lead / Principal Cloud, AI & Security Architect at Freelancer / CC Conceptualise GmbH
Projects:
Project: RWE – Development of a company-wide Zero Trust cybersecurity architecture (CITADEL) Role: Senior Enterprise Cybersecurity Architect / Zero Trust Architect Company: RWE AG Description: Concept and implementation of the strategic CITADEL cybersecurity target architecture at RWE, based on the Zero Trust architecture principle and aligned with regulatory requirements such as NIS2, ISO 27001 and company-wide security governance policies. The goal was to build a measurable, auditable and scalable security architecture with a strong focus on Identity Governance, compliance transparency and operational manageability. Responsibilities & Achievements:
- Zero Trust architecture design: Developed a company-wide Zero Trust reference architecture (Identity, Device, Network, Application, Data) including trust zones, control points and enforcement mechanisms according to NIS2.
- Identity & Access Governance (IGA): Designed and introduced IGA governance structures including role models, recertification processes, segregation of duties (SoD) and lifecycle management for identities and access.
- Security governance & KPIs: Defined and implemented security KPIs and metrics to manage Zero Trust maturity, identity risks and compliance at the management level.
- Compliance & reporting: Built standardized compliance reports and dashboards to support internal audits, external assessments and regulatory evidence (e.g. NIS2).
- Architecture & stakeholder alignment: Worked closely with Enterprise Architecture, IT operations and business units to integrate the CITADEL architecture into existing IT and security landscapes.
- Strategic security consulting: Advised programs and projects on Zero Trust compliance, identity centricity and regulatory requirements in the energy and critical infrastructure (KRITIS) environment. Technologies & Methods: Zero Trust Architecture, NIS2, Identity Governance & Administration (IGA), IAM, RBAC, SoD, Entra ID, SailPoint, Zscaler, Terraform / IaC, Policy as Code, security KPIs, compliance reporting, NIST 2.0, ISO 27001, Enterprise Security Architecture, governance frameworks, risk & control management
Project: Scalable AI Workbench Platform on Microsoft Azure Role: Cloud Architect & Engineer Company: Siemens Energy Description: Design, development and operation of a secure, modular cloud infrastructure to support Data Science, Machine Learning and AI applications for various engineering teams at Siemens Energy. Responsibilities & Achievements:
- Cloud architecture: Designed and implemented an Infrastructure-as-Code solution (Terraform) for automated provisioning of Azure resources (Resource Groups, Storage Accounts, Cosmos DB, Application Insights, networking, PostgreSQL Flexible Server, Azure Container Apps, Azure Container Registry).
- Developer portal: Used Backstage with custom frontend and backend plugins (Node.js, TypeScript, React.js, PostgreSQL, Container Apps) to enable self-service and empower developers, data scientists and AI/ML engineers.
- Role-based access control: Implemented Azure RBAC to grant targeted access (e.g. Storage Blob Data Contributor, Reader) to engineering groups (e.g. AI Engineers) for relevant resources.
- Data platform engineering: Built and configured a multi-layered storage landscape (Raw, Curated, Vector data), including automated container creation and access control for advanced analytics and AI workloads.
- DevOps integration: Integrated with Azure DevOps for CI/CD pipelines to automate deployment, monitoring and compliance.
- Security & compliance: Implemented Private Endpoints, network policies and Managed Identities to ensure data protection and regulatory compliance.
- Collaboration: Worked closely with cross-functional teams to align the cloud infrastructure with business and technical requirements and drive digital transformation at Siemens Energy. Technologies: Azure, Terraform, Azure DevOps, Cosmos DB, Application Insights, Azure Storage, Private Endpoints, Azure Synapse, Azure Machine Learning, Azure Entra ID, RBAC, Backstage, Node.js, React.js, PostgreSQL, Python (automation), Git
Dany G.
Last position:
Analyst, Writer & Visual Storyteller at Self-employed / Freelance
- Conduct in-depth research and reflection on complex topics (intercultural dynamics, human rights, psychology, health, administration) and translate findings into clear written or visual narratives.
- Use large language models daily for analysis, idea development, and long-form creative projects; evaluate AI responses for consistency, safety, bias, and emotional adequacy.
- Design prompts and workflows to improve AI output quality, especially in emotionally and politically sensitive contexts and in multilingual use (Chinese, German, English).
- Develop illustrations, video poems, and conceptual media works that connect personal experience with broader political and social structures.
Khaled M.
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.
Haseeb A.
Last position:
Full Stack Ruby on Rails Developer at FINLINK
- Delivered MVP for strategic enterprise client including core Links banking APIs and interest rate calculations
- Integrated German banking APIs for automated credit checks
- Built lead distribution system that improved sales team efficiency by 40%
- Developed microservices architecture for mortgage offer generation from multiple banks
- Automated document verification process for customer KYC and income validation
- Implemented GDPR-compliant consent management for customer data protection
- Deployed and managed services using Kubernetes with custom YAML configurations
- Wrote comprehensive test coverage using Rspec ensuring code reliability
- Reduced customer onboarding time by 30% through workflow optimization
Saurabh L.
Last position:
Beyond Finance / Above Lending
- Played a key role as an early developer, contributing to the architecture design and development of a complex Rails migration, focusing on building robust services for large-scale data synchronisation.
- Developed and maintained key services that handled hundreds of thousands of records daily, ensuring seamless data flow between client data and third-party services.
- Wrote custom libraries to streamline integrations with external systems, including Salesforce, enhancing data accuracy and efficiency.
- Actively engaged in pair programming, thorough code reviews, bug resolution, and idea brainstorming, fostering collaboration and continuous improvement across the team.
Discover over 15,000 top freelancers
Statistics of experts using YAML
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 18 years)
Position duration
3.4 years (Germany: 1.9 years)
Positions per freelancer
9 (Germany: 13)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Education
Certification focus areas
Business Intelligence, Information Technology, Product Development
Bachelor's degree or higher
89% (Germany: 95%)
Master's degree or higher
44% (Germany: 64%)
Doctorate
22% (Germany: 13%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
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 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 YAML
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.
YAML 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 (90%)
- Automotive (50%)
- Education (50%)
- Media and Entertainment (40%)
- Professional Services (40%)
- Retail (40%)
- Banking and Finance (30%)
- Aerospace and Defense (20%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Configuration Language
YAML, short for YAML Ain’t Markup Language, is a human-readable data serialization language. Companies use it to express configuration, structured data and deployment instructions in a format that is easier to review than many alternatives. Its indentation-based syntax supports nested objects, lists, strings, numbers and reusable anchors, but requires disciplined formatting.
Where YAML Runs
YAML appears across modern software delivery and infrastructure work. It can define application settings, deployment resources, automated workflows and service relationships.
- Kubernetes manifests and Helm values
- GitHub Actions, GitLab CI/CD and Azure Pipelines
- Ansible playbooks and inventory data
- Docker Compose environments
- Cloud and infrastructure configuration
Ecosystem Skills
Strong YAML work depends on the system that reads the file. Experts often combine YAML with Kubernetes, Helm, Ansible, Docker, Terraform, Git and cloud services. They understand schemas, templating, variable substitution, secrets handling and the validation rules imposed by each tool. Knowledge of JSON and XML helps when teams compare formats or transform data between systems.
When Expertise Helps
Companies bring in freelance YAML expertise when configuration has become difficult to validate, reuse or troubleshoot. This is common during platform migrations, new delivery pipelines, Kubernetes adoption and infrastructure standardisation. In Berlin, specialists may support local product teams, financial services, media organisations and industrial companies while collaborating remotely or on site.
- Review inconsistent configuration across repositories
- Convert manual release steps into repeatable pipelines
- Introduce validation, linting and schema checks
- Separate environment values from reusable templates
Reliable Delivery
A strong professional treats YAML as executable configuration, not casual text. They check indentation, data types, merge behaviour, quoting, duplicate keys and tool-specific constraints. They also test changes in safe environments, document assumptions and make configuration readable for the people who must operate it. Clear communication in English, and German where needed, supports effective work with Berlin-based teams.
Choosing a Specialist
Assess practical examples rather than syntax familiarity alone. Ask how the expert handled secrets, failed deployments, environment differences and configuration review. Useful deliverables may include validated manifests, reusable templates, pipeline files, linting rules and concise documentation. The right specialist can explain why a structure is safe, portable and maintainable, and can adapt it to the exact platform consuming the YAML.
Frequently asked questions
The facts hiring teams ask for most often when it comes to YAML.
YAML is mainly used for configuration and structured data that people need to read and maintain. Common examples include Kubernetes manifests, CI/CD workflows, Ansible playbooks, Docker Compose files and application settings.
YAML is usually easier for people to read because it uses indentation and avoids much punctuation. JSON is often stricter and convenient for machine exchange, while XML offers more formal tagging and document features; the best choice depends on the consuming tool and validation needs.
A strong YAML expert should understand the tools that parse the files, such as Kubernetes, Helm, Ansible or CI/CD systems. Git, container workflows, cloud infrastructure, JSON, templating and secrets management are also valuable adjacent skills.
The right YAML specialist needs experience with the complexity of your environment, not a fixed number of years. A simple workflow may need strong syntax and validation knowledge, while Kubernetes platforms or multi-environment infrastructure require proven troubleshooting, templating and release experience.
Yes, YAML work is often well suited to remote collaboration because files, reviews and test environments can be shared through version control. On-site sessions in Berlin can still help when the work involves workshops, operational handovers or close coordination with teams that prefer German-language communication.
Typical YAML problems include incorrect indentation, ambiguous values, duplicate keys, unexpected type conversion and invalid references to environment variables. Tool-specific schema errors and unsafe handling of secrets can cause failures even when the file appears syntactically valid.
Evaluate YAML through validation, testing and review in the target system. High-quality work is consistent, documented, reusable where appropriate and safe across environments, with clear handling for secrets, overrides, errors and future changes.
YAML originally stood for Yet Another Markup Language, but the official recursive name is YAML Ain’t Markup Language. The change reflects that YAML is intended for data serialization and configuration rather than document markup.
The average hourly rate of freelancers in Berlin, Germany who have used YAML in their recent projects is 109 €, which corresponds to a daily rate of about 871 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used YAML in their recent projects, 89% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Berlin, Germany who have used YAML in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 3.4 years.
The most common languages among freelancers in Berlin, Germany who have used YAML in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Berlin, Germany who have used YAML in their recent projects are Information Technology (90%), Automotive (50%), and Education (50%).
The most common business areas among freelancers in Berlin, Germany who have used YAML in their recent projects are Information Technology (90%), Product Development (90%), and Quality Assurance (60%).
Main locations of FRATCH Experts, who have recently used YAML
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.
Munich 
Cologne Request a free demo
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Philipp Thomaschewski
FRATCH CEO
