Amazon EKS Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Amazon EKS
Kevin Fischer
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Jan Mundo
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Roman Krivtsov
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Puya Dogouri
Last position:
Quality Assurance Consultant at Federal Employment Agency
- Consulting and implementation of functional test requirements
- Responsibility for and validation of test automation solutions in an agile team
- Support for QA topics during weekly release tests
- Creating test cases using Gherkin
- Developing automated tests with Cucumber and Playwright
- Specifying and maintaining automated and manual tests
Technologies used:
- Confluence
- Jira
- Cucumber
- Playwright
- Typescript
- Java
- Git
Michael Yaco
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Discover over 15,000 top freelancers
Statistics of experts using Amazon EKS
Aggregated from the professional profiles of matched freelancers.
Experience
21 years (Germany: 19 years)
Position duration
2 years
Positions per freelancer
17 (Germany: 12)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Transportation, Government and Administration
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
80% (Germany: 45%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, Arabic
Speak two or more languages
100% (Germany: 96%)
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 Frankfurt 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 Frankfurt using Amazon EKS
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
Amazon EKS basics
Amazon EKS, or Amazon Elastic Kubernetes Service, is AWS's managed Kubernetes service. It helps teams run containers without having to manage the Kubernetes control plane themselves. Companies use it for web apps, APIs, internal tools, batch jobs, and platform services.
What experts deliver
- Cluster design for staging and production
- Node group setup and autoscaling
- Deployment flows with Helm or plain manifests
- Ingress, secrets, and service exposure
- Upgrades, add-ons, and workload tuning
Strong specialists focus on safe operations, not just getting pods running.
AWS ecosystem
EKS works closely with IAM, VPC, ECR, CloudWatch, Route 53, ALB, and Auto Scaling. Good experts know how these services fit together and how network layout affects reliability. They also understand Kubernetes basics such as namespaces, RBAC, probes, and resource limits.
When companies need help
Teams bring in freelance EKS experts when a cluster needs a clean start, a migration from self-managed Kubernetes, or a fix for instability. In Frankfurt, this often matters for companies with strict uptime needs, regulated workloads, or hybrid setups that connect AWS with local systems. Remote work is common, but on-site support can help during launch or incident recovery.
What strong professionals do
A strong Amazon EKS specialist thinks in systems: workload placement, security boundaries, rollout strategy, and cost control. They write clear runbooks, keep environments repeatable, and avoid hidden manual steps. They also know when the issue is in Kubernetes, when it is in AWS, and when it is in the application itself.
Skills to check
- Kubernetes troubleshooting and cluster operations
- AWS networking, identity, and access control
- Container image and registry workflows
- Observability with logs, metrics, and traces
- Infrastructure as code for repeatable environments
Frequently asked questions
Quick answers to the questions that come up most around Amazon EKS.
Amazon EKS is used to run Kubernetes workloads on AWS without managing the control plane yourself. Companies use it for microservices, internal platforms, event-driven jobs, and applications that need consistent deployment across environments. It is a common fit when teams want Kubernetes features but prefer AWS-native operations.
EKS removes a lot of control-plane maintenance and gives you a managed path for updates and availability. Compared with self-managed Kubernetes, it usually reduces operational burden, but you still need strong knowledge of networking, IAM, and cluster add-ons. A good freelancer should explain where managed service convenience ends and platform responsibility begins.
Not always. Amazon EKS is a better fit when you need Kubernetes portability, richer orchestration patterns, or an existing Kubernetes skill set. ECS can be simpler for smaller AWS-only container setups, so the right choice depends on how much platform control and ecosystem flexibility you need.
A strong Amazon Elastic Kubernetes Service specialist should also know AWS IAM, VPC design, load balancing, container registries, and infrastructure as code. Kubernetes objects, Helm, observability tools, and incident debugging are also important. Without these skills, an implementation may work at first but be hard to operate later.
That depends on the current setup, but Amazon EKS migrations need more than basic Kubernetes familiarity. If the source system is self-managed, multi-cluster, or tied to strict networking rules, you want someone who has handled cutovers, rollback plans, and post-migration tuning. Smaller greenfield setups can be simpler, but they still need clean standards from day one.
Yes. EKS work is often remote because most tasks involve cluster configuration, manifests, automation, and troubleshooting. On-site time in Frankfurt can still help when teams need close coordination with security, networking, or operations stakeholders, especially during a launch or a production incident.
Ask for examples of how they designed clusters, handled upgrades, and kept workloads secure and observable. A strong Amazon EKS expert talks clearly about IAM, networking, rollout safety, and failure recovery, not just about deploying pods. Good signs are repeatable automation, clear documentation, and calm problem solving under pressure.
The most common issues are weak network design, unclear permissions, broken deployments, and noisy clusters that are hard to observe. AWS EKS projects also struggle when teams mix app logic with platform logic or skip automation. A good specialist helps separate those concerns so the platform stays stable as the workload grows.
The average hourly rate of freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects is 105 €, which corresponds to a daily rate of about 839 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects are German (100%), English (100%), and Arabic (17%).
The most common industries among freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects are Information Technology (100%), Transportation (83%), and Government and Administration (83%).
The most common business areas among freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects are Information Technology (100%), Product Development (83%), and Quality Assurance (83%).
Main locations of FRATCH Experts, who have recently used Amazon EKS
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
