YAML Experts in Berlin
for reliable configuration work, matched in minutes with vetted and available freelancersHire experts who structure configuration for CI/CD pipelines, Kubernetes manifests and application deployments, while keeping schemas clear and maintainable. FRATCH precisely matches you with vetted, available freelancers fast.
Meet FRATCH Experts in Berlin, who have recently used YAML
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
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
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.
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.
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: 14)
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: 63%)
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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin 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 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 29 Oct 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 is a human-readable data serialization language used to represent structured information through indentation, keys, lists and values. Its full name, YAML Ain’t Markup Language, reflects its role as a general format rather than a programming language. Companies use it for configuration that people need to review, edit and version alongside code.
Where YAML Runs
YAML appears across modern delivery and infrastructure workflows. It can define application settings, automated jobs, deployment resources and service relationships without embedding business logic in the file itself.
- Describe Kubernetes resources and Helm values
- Configure GitHub Actions, GitLab CI/CD or Azure Pipelines
- Store settings for frameworks, tests and build tools
- Manage Ansible playbooks and automation variables
Ecosystem And Syntax
Strong YAML work requires more than correct indentation. Experts work with mappings, sequences, anchors, aliases, block scalars, quoted values and multi-document files. They also understand how parsers interpret booleans, nulls, dates and duplicate keys, which can produce unexpected results.
Common tooling includes yamllint, schema validators, editor extensions and language servers. Kubernetes schemas, OpenAPI-related workflows, Helm templates and JSON conversion tools add context around the format.
When Expertise Helps
Freelance expertise is useful when configuration has become difficult to review or errors appear only during deployment. Companies often bring in a specialist for a new delivery workflow, a Kubernetes migration, a template redesign or a validation layer across many repositories.
In Berlin, YAML specialists may support product teams, software companies and operational groups working across local offices and distributed environments. Clear documentation and dependable remote collaboration matter when configuration changes cross team boundaries.
Reliable Delivery
A capable professional first clarifies the target parser, schema and deployment process. They separate reusable values from environment-specific settings, protect secrets through suitable secret management and make validation part of the delivery pipeline. They also test rendered templates rather than trusting visually tidy files.
- Establish consistent formatting and linting rules
- Add schema checks and meaningful validation errors
- Reduce duplication without hiding important values
- Document ownership, environments and safe change paths
Choosing A Specialist
Look for examples involving the exact YAML ecosystem your project uses, such as Kubernetes, Helm, CI/CD or Ansible. Ask how the professional handles indentation-sensitive failures, implicit type conversion, schema drift and secrets. A strong specialist explains trade-offs clearly and leaves behind files that another team can safely maintain.
For remote or on-site work in Berlin, assess communication across engineering, operations and security teams. Quality is visible in validated configuration, reproducible deployments, readable reviews and fewer surprises between environments.
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 exchange. Companies use it for Kubernetes resources, CI/CD workflows, application settings, Ansible automation and tool-specific project files.
YAML is generally easier for people to read and supports comments, complex structures and reusable values. JSON has stricter syntax and broad machine-to-machine support, while TOML offers a simpler configuration model; the right choice depends on the parser and ecosystem.
YAML work often connects with Kubernetes, Helm, Docker, Git, CI/CD systems, Ansible and scripting. A useful specialist also understands schemas, validation, secrets management and the deployment process that consumes the files.
YAML tasks can be simple when a project has one clear file and an established schema. More involved work needs a professional who has handled templating, multiple environments, validation failures and configuration changes across repositories.
YAML projects are usually well suited to remote collaboration because files, reviews and validation runs can be shared through version control. For Berlin teams, agree on working hours, documentation standards and whether occasional on-site workshops are needed.
YAML errors can stop a pipeline, create invalid Kubernetes resources or apply the wrong value because of indentation or implicit type conversion. Duplicate keys, unsafe secret handling and untested templates can also create failures that are hard to trace.
YAML quality is shown by valid parsing, schema checks, clear formatting and predictable behavior across environments. Ask the professional to explain linting, rendered-template tests, secret handling and how another team member would safely review a change.
YAML is a data serialization and configuration language, not a general-purpose programming language. It describes values and structure, while tools such as Helm, CI/CD runners or Kubernetes interpret that configuration and perform the actual operations.
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 870 € 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
