YAML Experts in Berlin
matched in minutes with vetted freelance specialistsHire experts who structure config files, CI/CD pipelines, Kubernetes manifests, and application settings with clean YAML. Work with specialists who spot indentation issues fast and keep files readable across teams. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used YAML
Can Savastürk
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.
Vili Dhamo
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 Braun
Last position:
Semantic Test Framework for LLMs
Claudia Helming
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 Ghassen Brahim
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
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
Dany Grünewald
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 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.
Haseeb Ahmad
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 Lodha
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 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What YAML covers
YAML is a human-readable format for configuration and data files. Teams use it for application settings, deployment manifests, automation, and service definitions. It is common in tools that need clear structure without heavy syntax.
Where it appears
- Kubernetes manifests and Helm values
- CI/CD pipelines and build config
- Docker Compose and infrastructure files
- Application configuration for Java, Python, and Node.js systems
- Cloud and DevOps tooling
Why it needs care
YAML looks simple, but small spacing mistakes can break a file. Strong professionals know how to keep indentation, quoting, anchors, and multiline values consistent. They also know when YAML is the right choice and when a simpler format is safer.
Skills around it
Good YAML specialists usually work with Git, linting, schema checks, and deployment tooling. They understand how YAML is consumed by Kubernetes, CI systems, and cloud services. They also document conventions so teams can edit files without creating hidden errors.
When companies bring in help
- A deployment or pipeline starts failing on parse errors
- Kubernetes or Helm files need cleanup
- Multiple teams need one clear config standard
- Large config sets need review, refactoring, or migration
- Berlin teams want support that can work remotely or on site
What strong professionals deliver
A strong YAML professional writes files that are easy to review and hard to break. They keep configs modular, remove repetition with anchors or templates where useful, and make changes safe for production workflows. In Berlin, they are often brought in for hands-on work with platform teams, product teams, and DevOps groups.
Frequently asked questions
The facts hiring teams ask for most often when it comes to YAML.
YAML is used for configuration, deployment, and automation files where people need structure that is still easy to read. It often appears in Kubernetes manifests, CI/CD pipelines, Docker Compose files, and app settings. Many teams choose it when non-specialists also need to edit the files.
YAML is usually chosen for readability and less syntax noise than JSON or XML. JSON is stricter and often easier for machines, while XML is more verbose and more common in older enterprise systems. YAML is practical when humans edit files often, but it still needs careful validation.
YAML is the common name, and many searchers also use the file extension form YML. The full phrase YAML Ain't Markup Language is part of its origin, but it is not the name teams use in daily work. In practice, both YAML and YML usually refer to the same file format.
A strong YAML specialist should also know Git, schema validation, and the tools that read the file. For platform work, Kubernetes, Helm, Docker Compose, and CI systems are common companions. Clear documentation habits matter too, because YAML often becomes shared team infrastructure.
YAML work can start with a small fix, but larger systems need someone who has handled real deployment and config complexity. If the project uses layered overrides, anchors, or many service files, experience matters more than speed. Hire help early if a bad change could stop delivery or affect production.
Many YAML tasks can be done remotely because the work centers on files, reviews, and tooling. On-site collaboration helps when several teams need to align on config standards or when the files sit inside a wider platform effort. In Berlin, both setups are common depending on the team and delivery process.
A good YAML freelancer writes files that are clean, consistent, and easy to validate. Look for proof of work with deployment manifests, pipeline config, and clear review habits, not just basic syntax knowledge. The best specialists also explain why a structure is safe, maintainable, and easy for others to use.
If your YAML files keep breaking on indentation, quoting, or multiline values, you need help. The same is true when configuration has grown hard to read, when deployment changes feel risky, or when teams keep editing the same files in different ways. Those are signs that structure and review discipline need attention.
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
