Amazon EKS Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who run production Kubernetes clusters on Amazon Web Services, automate delivery with Terraform and Helm, and improve observability, security and scaling. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Frankfurt, who have recently used Amazon EKS
Reza N.
Last position:
Senior IT-Security Expert at Teambank AG
- Completed the integration of log sources into Microsoft Sentinel, including GCP workloads – centralized consolidation of all security-relevant events from Azure and GCP environments for complete end-to-end telemetry and comprehensive compliance evidence
- Developed custom rules and use cases based on the GFG Use-Case Library and the MITRE ATT&CK Matrix to cover company-specific threats and GFG-relevant scenarios with precise, mapped detection rules
- Tuned detection rules to minimize false positives, optimized detection thresholds, and modeled exceptions – enabling the SOC to work with relevant, prioritized alerts while reducing Mean Time to Detect/Respond
- Built SOAR capabilities in Sentinel by developing playbooks to automate recurring response processes such as containment, user and host isolation, and ticketing – shorter response times and 24/7 scalability
- Designed and built a log transformation solution to normalize and enrich incoming raw logs (GeoIP, CMDB, threat intelligence) and convert them into a consistent schema for high-performance KQL queries, use case logic, and correlations
- Managed Azure security through Azure Policies to enforce security and compliance standards, prevent drift, and continuously remediate deviations
- Operated the Defender XDR portal to link endpoint, identity, email, and SaaS signals with Sentinel findings, enable holistic incident triage, and orchestrate measures directly from XDR
Technologies: Microsoft Sentinel, Microsoft Defender XDR, Azure Policy, KQL, GCP, MITRE ATT&CK
Kevin F.
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)
Jan M.
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
Tan P.
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.
Roman K.
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 D.
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 Y.
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
19 years
Position duration
1.8 years (Germany: 2 years)
Positions per freelancer
16 (Germany: 13)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 87%)
Master's degree or higher
67% (Germany: 44%)
Certifications per freelancer
8 (Germany: 3)
Most common languages
German, English, Arabic
Speak two or more languages
100% (Germany: 95%)
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Amazon EKS 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 (100%)
- Banking and Finance (71%)
- Transportation (71%)
- Government and Administration (71%)
- Automotive (57%)
- Professional Services (57%)
- Media and Entertainment (43%)
- Telecommunication (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Amazon EKS is
Amazon Elastic Kubernetes Service, commonly called Amazon EKS, is a managed Kubernetes service from Amazon Web Services. It runs containerized workloads while AWS manages core control-plane operations. Companies use it to deploy APIs, web applications, data services and internal platforms across reliable cloud infrastructure.
Where it runs
EKS supports production systems that need controlled releases, automated recovery and flexible capacity. It is used for microservices, event-driven workloads, machine learning services and hybrid operating models. Frankfurt-based companies may use it when teams need cloud collaboration alongside local business or infrastructure requirements.
Ecosystem and tooling
Strong EKS work connects Kubernetes with the surrounding AWS ecosystem and delivery tools:
- Configure VPC networking, IAM roles, load balancing and storage
- Package workloads with Helm and manage infrastructure with Terraform
- Automate releases through GitHub Actions, GitLab CI or AWS CodePipeline
- Monitor clusters with CloudWatch, Prometheus, Grafana and OpenTelemetry
When expertise matters
Companies bring in freelance EKS expertise during a cloud migration, a platform redesign or a major reliability initiative. Specialist support is also useful when clusters have grown difficult to secure, release or operate. Typical deliverables include cluster foundations, workload migrations, deployment pipelines, policy controls and operational runbooks.
Skills to look for
A capable professional understands Kubernetes objects, scheduling, networking, ingress, persistent storage and workload security. They should also know AWS identity, autoscaling, observability and cost controls, rather than treating EKS as an isolated product. Experience with incident response and infrastructure as code helps turn a working cluster into a maintainable service.
Quality signals
Look for clear separation between application configuration, infrastructure and access policies. Strong professionals explain trade-offs between managed node groups, serverless options and self-managed capacity, then document decisions for the internal team. They test upgrades, failure recovery and deployment rollback instead of relying only on a successful initial setup. For remote or on-site work in Frankfurt, agree early on communication, access boundaries and collaboration language.
Frequently asked questions
Quick answers to the questions that come up most around Amazon EKS.
Amazon EKS is used to run containerized applications on managed Kubernetes within AWS. Companies use it for microservices, APIs, batch processing, event-driven systems and internal platforms that need repeatable deployment and scaling.
Amazon EKS reduces the operational work required for the Kubernetes control plane and connects closely with AWS identity, networking and storage services. Self-managed Kubernetes can offer more control, but it usually requires the company to maintain more of the platform itself.
EKS expertise is valuable for a new cluster, a migration from virtual machines, a security review or a production reliability project. A freelancer can also help when internal teams need clear infrastructure code, deployment automation or operational documentation.
Amazon EKS work commonly requires Kubernetes, AWS networking, IAM, Terraform, Helm and CI/CD knowledge. Experience with observability tools, container security, Linux operations and databases is also useful when the specialist must support the wider platform.
Amazon EKS projects do not all require the same depth of experience. A contained deployment may suit a professional familiar with standard AWS patterns, while regulated, highly available or multi-cluster environments call for someone who has handled upgrades, incidents, access controls and recovery testing.
Amazon EKS projects are often suitable for remote collaboration because infrastructure, configuration and delivery workflows are managed online. Frankfurt teams should define access procedures, meeting overlap and language expectations, with on-site sessions added when architecture workshops or operational handovers benefit from them.
EKS quality shows in practical decisions, not just in cluster creation. Ask how the professional handles least-privilege access, network design, upgrades, observability, rollback and failure recovery, and request documentation that another team member can operate.
Amazon EKS deliverables may include infrastructure code, cluster and workload configuration, release pipelines, monitoring dashboards and security policies. A strong professional also provides runbooks, handover sessions and tested procedures for upgrades, incidents and recovery.
The average hourly rate of freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects is 101 €, which corresponds to a daily rate of about 809 € 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 67% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.8 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 (14%).
The most common industries among freelancers in Frankfurt, Germany who have used Amazon EKS in their recent projects are Information Technology (100%), Banking and Finance (71%), and Transportation (71%).
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 (86%), and Quality Assurance (71%).
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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