AWS CloudFormation Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used AWS CloudFormation
Vitaliy Ryumshyn
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Tobias Nawa
Last position:
Enterprise & Solutions Architect
- Building an independent enterprise IT setup — cloud strategy, network, AWS landing zone, security requirements, contract negotiations.
- Migration of all applications; avoiding high contractual penalties for the client.
- Onboarding and coordination o...
Stephan Sahm
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Luis Alberto Peñafiel Palmer
Last position:
Cloud Engineer at Personal Projects
Developed a Streamlit ML application utilizing a RandomForest model (Scikit-learn) for predicting smoking behavior, employing Pandas, NumPy, and Matplotlib for data analysis and visualization; deployed on AWS using Terraform for EC2, IAM roles, and S3 buckets, with Pickle for model storage.
Mastered AWS services including S3, EC2, CloudFormation, IAM, and Auto Scaling, focusing on advanced features like versioning, CORS, ETags, and checksums through AWS-Examples-Freecodecamp.
Developed and optimized CI/CD pipelines with GitHub Actions to deploy static websites on GitHub Pages, enhancing automated validation, deployment, and maintenance processes.
Created and deployed a classic Snake game using Flask, containerized with Docker and deployed on Render.
Jiri Sostok
Last position:
Quality Manager/Test Management at Noriba GmbH
- Creation of test concepts
- Development of test processes
- Coordination of test case development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- Hardware testing: FPGA, RF
- Test automation and regression testing
- Ensuring 24/7 operation of the test system
- Analysis & reporting
- Regular coordination of the test team, meetings with other stakeholders
- Communication and coordination with stakeholders and project managers
Christof Nasahl
Last position:
Senior Developer at Otto GmbH
- Further development of personalized advertising spaces on the Otto web shop
- Full-stack development in a Kanban-driven team of about 15 people
- Technologies: Microservices, Kotlin, Spring, Spring Boot, Gradle, MongoDB, HTML, JS, Node, SCSS, AWS
- Development process: Kanban; continuous integration with AWS CodePipeline and GitHub Actions
Mario Brajkovski
Last position:
Site Reliability Engineer at Joyn GmbH
- Specialized in cloud infrastructure design, optimizing AWS and SaaS usage.
- Empowered development teams by ensuring security, scalability and reliability.
- Expertise included robust monitoring and automation for streamlined deployments.
- Provided technical guidance for faster releases and supported microservices principles.
- Actively participated in architecture discussions and shared critical infrastructure knowledge with development teams.
Discover over 15,000 top freelancers
Statistics of experts using AWS CloudFormation
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 17 years)
Position duration
3.5 years (Germany: 2.2 years)
Positions per freelancer
8 (Germany: 12)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Retail, Automotive
Certification focus areas
Information Technology, Quality Assurance, Business Intelligence
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
57% (Germany: 56%)
Certifications per freelancer
3
Most common languages
English, German, Spanish
Speak two or more languages
100%
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 Munich 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 Munich using AWS CloudFormation
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 as code
AWS CloudFormation turns AWS setups into versioned templates. Teams use it to define VPCs, IAM roles, load balancers, databases, queues, and serverless services in a repeatable way. It is a fit when manual console work no longer scales.
Common deliverables
- CloudFormation templates for new AWS environments
- Stack updates for existing systems
- Nested stacks and reusable modules
- Change sets for safe releases
- Parameterized deployments across dev, test, and production
Tooling and ecosystem
Strong specialists work comfortably with YAML or JSON templates, AWS CLI, IAM, S3, and Systems Manager. They often pair CloudFormation with AWS CodePipeline, CDK where needed, and custom resources for gaps in the native service model. They also know how to read stack events and drift reports.
Why companies bring in freelancers
Companies usually need outside support when stacks become hard to change, deployments break, or old templates need cleanup. Freelancers help with migrations from ad hoc scripts, standardizing multi-account setups, and repairing failed stack updates. In Munich, this often fits teams that want remote AWS support while keeping close coordination in English or German.
What strong experts do
A good specialist writes templates that are clear, modular, and safe to reuse. They design for rollback, dependency order, and least-privilege access. They also spot when a template is becoming too complex and when to split it into smaller stacks.
Signs you need help
- Stacks fail during update or rollback
- Templates are duplicated across services
- Manual AWS changes drift from code
- New environments take too long to set up
- Your team needs review before a migration or audit
Frequently asked questions
The facts hiring teams ask for most often when it comes to AWS CloudFormation.
AWS CloudFormation is used to define AWS infrastructure as code. Companies use it to create and update networks, compute, storage, IAM, and deployment resources in a repeatable way. It is especially useful when environments must stay consistent across projects or accounts.
CloudFormation is the native option for AWS, so it fits tightly with AWS features and release timing. Terraform is broader across vendors, but CloudFormation can feel simpler when the whole stack lives in AWS. The right choice often depends on whether the team wants AWS-first control or multi-cloud coverage.
A strong CloudFormation specialist usually knows IAM, networking, AWS CLI, YAML, and release workflows. Experience with Systems Manager, CodePipeline, and drift detection is useful too. For larger landscapes, knowledge of multi-account design and security boundaries matters a lot.
Freelance AWS CloudFormation support is useful when templates need rescue, cleanup, or a migration from manual setup. It also helps when a team needs faster delivery for a new environment or a one-time review before a release. External support is common when internal AWS knowledge is uneven.
Yes, CloudFormation is well suited to remote work because most of the job is template design, review, and testing. In Munich, companies often work with specialists remotely and use on-site time only for workshops or handover sessions. Clear access to AWS accounts and logs matters more than location.
A CloudFormation project becomes risky when stacks grow large, updates depend on each other, or templates are copied without structure. At that point, a specialist should review naming, stack boundaries, and rollback behavior. Small templates are easy; long-lived production stacks need more discipline.
Look for clear template structure, sane parameter design, and safe update paths in their CloudFormation work. Good specialists explain tradeoffs, avoid unnecessary custom resources, and know how to test changes before rollout. They should also be able to read failure events and fix them without guesswork.
The main comparison is often AWS CloudFormation versus the AWS CDK, which still produces CloudFormation under the hood. Some teams also weigh it against Terraform or use it alongside native AWS services like CodePipeline and Systems Manager. A good freelancer should know when CloudFormation is the right base and when a different tool fits better.
The average hourly rate of freelancers in Munich, Germany who have used AWS CloudFormation in their recent projects is 112 €, which corresponds to a daily rate of about 893 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used AWS CloudFormation in their recent projects, 100% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used AWS CloudFormation in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3.5 years.
The most common languages among freelancers in Munich, Germany who have used AWS CloudFormation in their recent projects are English (100%), German (88%), and Spanish (25%).
The most common industries among freelancers in Munich, Germany who have used AWS CloudFormation in their recent projects are Information Technology (100%), Retail (50%), and Automotive (38%).
The most common business areas among freelancers in Munich, Germany who have used AWS CloudFormation in their recent projects are Information Technology (100%), Product Development (75%), and Project Management (63%).
Main locations of FRATCH Experts, who have recently used AWS CloudFormation
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 Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Berlin Request a free demo
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Philipp Thomaschewski
FRATCH CEO
