Find experienced Cloud Engineers in Berlin matched in minutes from over 15,000 CVs with the power of AI.
Cloud architecture, Kubernetes, and AWS, Azure, or Google Cloud projects need engineers who can design, automate, and stabilise delivery without slowing the team down. Get fast, precise matching with vetted, available freelancers.
About the role
Cloud delivery A Cloud Engineer builds and runs the cloud layer behind modern products and internal systems. That includes landing zones, network setup, identity and access, compute, storage, backup, monitoring, and cost-aware scaling. Common work also covers migrations from on-premise systems, container platforms, and support for DevOps teams that need stable infrastructure for release work.
Typical output
- Cloud architecture and implementation plans
- Infrastructure as Code for repeatable environments
- Kubernetes or container platform setup
- Migration support for apps, data, and services
- Observability, alerting, and operational runbooks
- Security hardening and access design
Skills and tools Strong Cloud Engineers work across AWS, Microsoft Azure, and Google Cloud Platform, but they also know the glue around them: Terraform, Helm, Docker, GitHub Actions, Azure DevOps, and CI/CD pipelines. They should understand networking, IAM, Linux, scripting, logging, and incident handling. The best freelancers document clearly, make trade-offs visible, and can explain why one design is better than another.
When to bring one in Companies usually hire a freelance Cloud Engineer when a platform team is overloaded, a migration needs focused attention, or a product team must move faster without adding permanent headcount. In Berlin, this often comes up in software firms, SaaS scale-ups, media, fintech, and industrial tech teams that need remote support with regular working sessions in English, and sometimes on-site collaboration for critical workshops or go-live phases.
What strong work looks like A strong Cloud Engineer does not just provision resources. They reduce manual steps, keep environments consistent, and hand over systems that teams can operate confidently. Look for clear architecture choices, secure defaults, practical cost control, and documentation that helps developers and operations teams keep moving after the project ends. A good cloud engineer also flags risks early and keeps dependencies visible.
Signs you need help
- Your cloud setup is growing faster than your team
- Migrations are blocked by networking, identity, or governance issues
- Deployments are fragile or too manual
- Costs are hard to trace or explain
- You need a specialist for AWS, Azure, GCP, or Kubernetes
- You need hands-on help without a long hiring process
Meet FRATCH Cloud Engineers
Marina Kornilova
Software Developer | C# | AWS Cloud
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 Isabekyan
Engineering Leader · Fractional CTO of OpsWorker
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.
Enrico Goerlitz
Data & AI Engineering | Backend Software Development
Last position:
Freelance Software & Data/AI Engineer at Freiberuflicher Software & Data/AI Engineer
- Lecturer for the GenAI Track at the Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation
Ibrahim Hilali
Senior Full Stack Engineer | Cloud & AI Agent Engineer
Last position:
Senior Full Stack / AI Engineer at Punktum Digital GmbH
- Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
- Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
- Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.
Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.
Jorge Pérez Suárez
Software Engineer – AWS and Kubernetes Specialist
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
Domenik Jones
Python Engineer and Cloud Migration Consultant
Last position:
Python Engineer and Cloud Migration Consultant at Unknown
- Supported the company's transition from an on-premise architecture to AWS cloud services, modernizing infrastructure and optimizing operational efficiency.
- Leveraged expertise in automation and software implementation to enhance scalability, reliability and profitability.
- Implemented Poetry and Ruff to streamline Python dependency management and code quality checks, improving development efficiency and reducing errors.
- Implemented an automated CI/CD strategy with GitHub Actions, which decreased deployment times and minimized manual intervention.
- Enforced deployment automation for Kubernetes, enhancing the scalability and reliability of applications across the organization.
- Evaluated and implemented Apache Airflow for workflow management, leading to more efficient scheduling and monitoring of data pipelines.
- Created data interfaces for energy traders, enabling them to optimize profit margins through improved data analysis and decision-making tools.
Mathias Wilhelm
Development of an AI-driven social media automation for topic identification, text generation, and posting
Last position:
Development of an AI-driven social media automation for topic identification, text generation, and posting
- Optimization and automation of marketing activities across social media channels
- Gathering requirements and the processes to be optimized
- Developing an automation to identify the company's USPs for different marketing target groups
- Building an algorithm to search for and identify relevant news
- Implementing an algorithm to create and send social media posts
- Designing and implementing the entire automation in Python
- Creating a web application in AngularJS
- Increasing the company's visibility through more and more targeted posts on social media channels
- Used technologies: requirements management, stakeholder management, architecture decisions, NLP, LLM, transformers, Python, FastAPI
Thomas Merkel
Lead Cloud Infrastructure Engineer
Last position:
Lead Cloud Infrastructure Engineer at TrackCode GmbH
- Developing GitHub Actions/pipelines for automatic application deployment
- Supporting the provisioning of Helm charts for the CI/CD infrastructure
- Rebuilding and migrating a Kubernetes cluster using Rancher
- Creating IaC with Terraform for Kubernetes and additional services (monitoring, databases)
- Deploying a highly available Percona Galera cluster (MySQL)
- Implementing a centralized monitoring and logging infrastructure
Christopher Mäuer
Mobile & Full-Stack Engineer
Last position:
Mobile & Full-Stack Engineer at Propstack GmbH
- Refactored the mobile app by reimplementing stores, models, API client, screens and components using Typescript
- Added performant on-device storage for stores as preparation for offline mode
- Integrated RNUILib to achieve a minimal and modern UI design quickly
- Implemented native packages to provide additional features such as displaying of caller IDs
- Planned feature development and UX improvements following initial refactoring and redesign
Daniel Boesswetter
Senior Cloud Consultant and Developer
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
Daniel Schlieder
DevOps Engineer / Cloud Infrastructure Engineer
Last position:
DevOps Engineer / Cloud Infrastructure Engineer at ComputerStack GmbH
- Provisioned a Kubernetes platform on Open Telekom Cloud CCE with comprehensive network isolation
- Built a VPC architecture with public, private, and data subnets
- Integrated managed services: RDS PostgreSQL, DCS Redis, DMS Apache Kafka
- Implemented monitoring with Cloud Eye and Log Tank Service
IMPACT: Cloud Infrastructure Engineer delivered a production-ready platform in 5 days with full network security isolation
Tarek Salha
Cloud Engineering
Last position:
Cloud Engineering at Freelancer
- Development, operation and support of BI platforms and microservice architectures
- Development of an open-source BI scheduling tool
Discover over 15,000 top freelancers
Cloud Engineers statistics
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.5 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Education, Media and Entertainment
Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
80%
Master's degree or higher
40%
Doctorate
10%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
100%
Daily Rate Distribution
The chart shows how the daily rates of freelancers in this role 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. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for Cloud Engineers & Seniority distribution
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.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
Have questions? See our quick guide to FRATCH
A top-tier Cloud Engineer designs, builds, and stabilises the cloud environment that your application or platform depends on. That often includes infrastructure as code, networking, identity, monitoring, deployment pipelines, and migration support. The exact scope depends on whether you need greenfield setup, optimisation, or help with an active incident.
A strong cloud engineer should be comfortable with at least one major cloud provider, plus Terraform, containers, CI/CD, and basic scripting. They also need solid knowledge of networking, access management, logging, and incident response. Good communication matters too, because the work touches developers, security, and operations.
The roles overlap, but they are not identical. A Cloud Engineer focuses more on the cloud platform itself: landing zones, accounts, network design, security controls, and infrastructure operations. A DevOps Engineer often leans more toward delivery workflows, automation, and the connection between development and operations.
A freelancer is often the better choice when you have a specific project, a deadline, or a temporary capability gap. That is common during cloud migrations, platform redesigns, security improvements, or when a team needs extra hands for a launch. A Cloud Engineer on a freelance basis can start quickly and focus on delivery without a long onboarding cycle.
Yes, most of the work can be done remotely, especially architecture, implementation, and troubleshooting. For teams in Berlin, a Cloud Engineer may still join the office for workshops, stakeholder sessions, or critical go-live support. The best setup is usually a mix of remote delivery and in-person alignment when needed.
That depends on your stack, but AWS, Microsoft Azure, and Google Cloud Platform are the core names clients ask for. In practice, a Cloud Engineer often works with Terraform, Kubernetes, Docker, Helm, GitHub Actions, Azure DevOps, and monitoring tools. The right profile is the one that matches your environment, not just the most popular toolset.
Look for concrete examples of similar work, not just a list of certifications. A good Cloud Engineer can explain architecture decisions, migration risks, security controls, and how they reduced manual work or improved reliability. Clear documentation, practical trade-offs, and calm problem-solving are strong signs of quality.
Share your current architecture, cloud provider, network layout, access model, and the problem you want solved. If possible, also provide diagrams, deployment flows, and any known risks or constraints. The more context you give, the faster the Cloud Engineer can make useful decisions and avoid rework.
The average hourly rate for Cloud Engineers in Berlin is 102 €, which corresponds to a daily rate of about 816 € based on an 8-hour working day.
Of the freelancers working as Cloud Engineers in Berlin, 80% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers working as Cloud Engineers in Berlin have 18 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers working as Cloud Engineers in Berlin are German (100%), English (100%), and French (25%).
The most common industries among freelancers working as Cloud Engineers in Berlin are Information Technology (100%), Education (50%), and Media and Entertainment (50%).
The most common business areas among freelancers working as Cloud Engineers in Berlin are Information Technology (100%), Product Development (100%), and Project Management (83%).
FRATCH Cloud Engineers main locations
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.
Request a Free Demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
