AWS CloudFormation Experts in Berlin
matched in minutes from over 15,000 CVsHire experts who define repeatable AWS environments, automate infrastructure delivery with templates and stacks, and connect CloudFormation with CI/CD pipelines, IAM and serverless services. FRATCH provides fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used AWS CloudFormation
Julius H.
Last position:
Freelancer at Freelancer — Pharma Industry
- Led migration to GCP using Terraform, GKE, and GitOps, improving deployment consistency and scalability
- Implemented Datadog observability stack via Terraform and datadog-operator
- Established automated end-to-end tests and on-call processes, improving incident response and service reliability
- Migrated from NGINX Ingress Controller to Kubernetes Gateway API (NGINX Gateway Fabric)
- Migrated stateful services (PostgreSQL and Redis) to GCP, improving scalability and operational reliability
Jorge P.
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
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Marina K.
Last position:
Independent Software Developer at LILARAUM
- Independently designed, developed, published, and maintained mobile games for iOS and Android.
- Implemented application architecture, gameplay systems, UI, monetization, analytics, and platform integrations.
- Managed the complete release lifecycle, including testing, store publication, production monitoring, and iterative improvements based on analytics.
Nune I.
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Qaiser A.
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
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
Oleg A.
Last position:
Lead Full Stack Software Engineer at sdev
- Worked on a customer project under NDA
- Tech stack used:
- Backend: TypeScript, Node.js, NestJS, Express, PostgreSQL, OpenAI API, Docker
- Frontend: TypeScript, Vue.js 3 with Composition API, Vuetify 3, Angular, Angular Material, SCSS, TailwindCSS
Gyan P.
Last position:
Senior DevOps and Cloud Architect at Bosch
- Architected and operated cloud-based data and ML platforms for autonomous driving and parking systems, supporting large-scale (multi PB scale) simulation and vehicle data ingestion.
- Implemented security, compliance, and governance standards across Azure subscriptions and cloud resources.
- Managed GitHub organizations and CI/CD pipelines to improve deployment reliability and developer productivity.
- Contributed to hiring and technical interviews as part of the recruitment panel.
Christian R.
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Henning P.
Last position:
Backend Systems Development at Deutsche Bank/DWS/Morgenfund
- Developed backend systems for the DWS Investment App, a white-label investment solution (robo-advisor), and an investment solution for institutional clients.
- Java 8-17, Kotlin, Spring Boot, Spring MVC, OpenAPI 3.0, JPA, JDBI, Oracle, Hazelcast, JXLS, Apache POI, Apache PDFBox, Apache Kafka & Avro, Active MQ, Elasticsearch, React Native, Spock Test, IntelliJ IDEA, Kubernetes, Helm, Microservices/Netflix-Stack, TeamCity, Splunk.
- Kanban team, continuous integration.
- Migrated existing applications from Deutsche Bank's private cloud environment to Azure as part of a carve-out.
Discover over 15,000 top freelancers
Statistics of experts using AWS CloudFormation
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 18 years)
Position duration
2.5 years (Germany: 2.2 years)
Positions per freelancer
12 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
89% (Germany: 93%)
Master's degree or higher
44% (Germany: 57%)
Doctorate
11% (Germany: 9%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Russian
Speak two or more languages
100%
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AWS CloudFormation 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 (91%)
- Automotive (64%)
- Banking and Finance (64%)
- Retail (55%)
- Education (45%)
- Professional Services (36%)
- Media and Entertainment (27%)
- Real Estate (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Infrastructure as code
AWS CloudFormation is Amazon Web Services’ infrastructure-as-code service. Teams describe resources in YAML or JSON templates and use stacks to create, update and remove complete environments consistently. It supports networking, compute, storage, databases, permissions and many managed AWS services.
Templates and stacks
CloudFormation templates define resources, parameters, mappings, conditions, outputs and dependencies. Change sets help teams review updates before applying them, while nested stacks and reusable modules support larger estates. Stack policies, termination protection and drift detection add control around important environments.
Ecosystem and tooling
- YAML and JSON template design with intrinsic functions
- AWS CDK, SAM and CloudFormation modules
- StackSets for multi-account and multi-Region delivery
- CloudFormation CLI for resource provider development
- Validation through linting, testing and policy checks
Professionals often connect CloudFormation with AWS Organizations, IAM, Systems Manager, EventBridge and deployment services. They may also work with Git, pull requests, CI/CD systems and observability tools to make infrastructure changes traceable.
Where it fits
Companies use CloudFormation for repeatable development, staging and production environments, landing zones, serverless applications and regulated workloads. It is useful when infrastructure must be reviewed as code, reproduced across accounts or handed between teams. In Berlin, specialists may support local product, media, commerce and enterprise teams through remote work or on-site collaboration.
When to bring in expertise
- Existing stacks fail during updates or drift from their templates
- A team needs to standardize accounts, networking or security baselines
- Manual AWS provisioning slows releases and creates inconsistent environments
- A migration requires dependency planning and safe rollback paths
- Templates need refactoring into reusable modules or CDK constructs
Freelance expertise is valuable for audits, migrations, delivery automation and short-term capacity. Strong professionals clarify ownership, protect stateful resources and document how teams can operate the resulting stacks.
What strong professionals deliver
The best specialists understand both CloudFormation syntax and AWS architecture. They design clear resource dependencies, least-privilege IAM, parameter strategies and safe update paths instead of only producing templates. They test failure cases, inspect change sets, manage drift and explain trade-offs between native templates, AWS CDK and tools such as Terraform.
Frequently asked questions
Questions about AWS CloudFormation? Start with the answers below.
AWS CloudFormation is used to define and manage AWS infrastructure as code. It can provision networks, compute resources, databases, IAM policies, serverless components and supporting services through repeatable stacks.
CloudFormation is tightly integrated with AWS and uses AWS-managed stack operations, resource types and permissions. Terraform supports multiple cloud providers and has its own state model, so the better choice depends on provider scope, team skills and operating preferences.
A strong AWS CloudFormation specialist usually understands IAM, VPC networking, EC2, Lambda, API Gateway, S3, databases and security controls. Experience with YAML, JSON, Git, CI/CD, AWS CDK or SAM also helps connect templates to reliable delivery workflows.
A small template change may suit a professional familiar with the affected AWS services and deployment process. Larger estates, multi-account setups and stateful migrations call for deeper CloudFormation experience, especially with dependencies, change sets, rollback behavior and drift.
AWS CloudFormation is well suited to remote collaboration because templates, reviews and deployment history can be shared through version control and CI/CD systems. Teams in Berlin should agree on documentation standards, review windows, access controls and whether occasional on-site sessions are needed.
AWS CloudFormation templates offer direct, explicit resource definitions and are easy to consume across AWS tooling. AWS CDK generates CloudFormation from familiar programming languages, which can improve reuse and abstraction but also adds synthesis steps and code-level complexity.
Ask how the professional handles change sets, rollbacks, drift, resource replacement and secrets. A capable CloudFormation specialist can show clear templates, explain dependency decisions, test failure paths and document safe operating procedures.
Freelancers working with AWS CloudFormation should expect careful access management, review-based changes and close coordination with application, security and operations teams. Clear notes on parameters, outputs, ownership and recovery steps make handover easier, especially when several AWS accounts are involved.
The average hourly rate of freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects is 96 €, which corresponds to a daily rate of about 767 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects, 89% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects are German (100%), English (100%), and Russian (27%).
The most common industries among freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects are Information Technology (91%), Automotive (64%), and Banking and Finance (64%).
The most common business areas among freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects are Information Technology (100%), Product Development (91%), and Business Intelligence (55%).
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 
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