Azure Kubernetes Service Experts in Frankfurt
in minutes from over 15,000 CVs with the power of AI.Hire experts who run AKS clusters, automate deployments with Azure DevOps or GitHub Actions, and tune networking, ingress, and observability for production workloads. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Azure Kubernetes Service
Ali Aminian
Last position:
Platform Engineer & Software Architect at Yatta GmbH
- Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
- Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
- Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
- Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
- Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
- Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
- Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
- Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
- Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
- Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
- Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
- Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.
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.
Werner Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Mahesh Simha
Last position:
Azure Solution Architect at Automotive industry
Implementation of complex Azure resources using Terraform IaC and Azure DevSecOps pipelines with network security and zero-trust governance policies
Optimization of the existing network design, firewall and database migration
Implementation of governance and network policies as Policy as Code (PaC)
Establishment of company-wide Azure connectivity using Azure VPN as an IPSec tunnel
Implementation of hybrid on-premises multi-cloud connectivity (GCP, Azure) using Terraform
Development of Azure Functions for scheduled cron jobs and Service Bus message queuing with topics
Optimization of messaging with Service Bus premium features and IP whitelisting
Stakeholder management, customer communication and creation of Architectural Decision Records (ADR)
Responsible for cost-efficient quick wins in Azure and on-premises systems
Rashid Ibragimov
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Anton Rösler
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Discover over 15,000 top freelancers
Statistics of experts using Azure Kubernetes Service
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.5 years (Germany: 1.7 years)
Positions per freelancer
18 (Germany: 13)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Automotive, Banking and Finance, Information Technology
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
83% (Germany: 86%)
Master's degree or higher
50% (Germany: 47%)
Doctorate
17% (Germany: 7%)
Certifications per freelancer
8 (Germany: 4)
Most common languages
German, English, Persian
Speak two or more languages
100% (Germany: 98%)
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 Azure Kubernetes Service
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
AKS in practice
Azure Kubernetes Service, often called AKS, is Microsoft’s managed Kubernetes offering for running containerized applications on Azure. Companies use it to keep clusters current, reduce control-plane overhead, and standardize how services are deployed, scaled, and recovered.
What specialists deliver
- Cluster setup and upgrade planning
- Namespace, RBAC, and policy design
- Ingress, service discovery, and load balancing
- Monitoring, logging, and alerting
- Backup, recovery, and node pool tuning
Ecosystem around AKS
Strong specialists work across Azure Monitor, Log Analytics, Container Registry, Key Vault, and identity integrations such as Microsoft Entra ID. They also know Helm, kubectl, YAML manifests, and CI/CD pipelines that ship workloads into AKS with repeatable checks.
When companies bring help
Teams often need freelance expertise during migrations from virtual machines or other Kubernetes setups, when platform rules are unclear, or when releases slow down because clusters are hard to operate. In Frankfurt, this is common for finance, logistics, SaaS, and regulated environments that need careful access and network design.
What strong professionals do
They understand Kubernetes deeply, but also how Azure changes the work. That means choosing the right node pools, handling secrets safely, setting resource limits, and keeping deployments reliable across environments. They write clear runbooks and leave systems easy to support.
Collaboration and fit
AKS work can be fully remote, but on-site time in Frankfurt helps when teams need workshops, security reviews, or architecture decisions with local stakeholders. Good freelancers communicate clearly with operations, security, and application specialists, and they document every change in plain language.
Frequently asked questions
Not sure where to start with Azure Kubernetes Service? These answers cover the essentials.
Azure Kubernetes Service is used to run containerized applications on managed Kubernetes in Azure. It fits services that need controlled deployments, scaling, and reliable operations without building the cluster layer from scratch.
AKS is Microsoft’s managed Kubernetes service, not Kubernetes itself. Kubernetes is the orchestration system; AKS adds Azure-managed cluster operations, identity integration, and native Azure networking and monitoring options.
A company should bring in Azure Kubernetes Service expertise when it is moving workloads to Azure, standardizing deployment pipelines, or fixing cluster reliability and security issues. It also helps when a team needs help with ingress, workload isolation, or upgrade planning.
A strong Azure Kubernetes Service specialist usually knows Azure networking, Microsoft Entra ID, Helm, Kubernetes manifests, and CI/CD tooling such as Azure DevOps or GitHub Actions. Practical experience with logging, monitoring, and secret management is also important.
AKS removes much of the operational work around the control plane and cluster lifecycle. Self-managed Kubernetes gives more direct control, but it also asks the team to own more patching, availability, and recovery tasks.
A solid Azure Kubernetes Service deliverable is more than a running cluster. It should include repeatable deployment steps, sensible access rules, monitoring, recovery notes, and enough documentation for another specialist to take over.
Yes, most AKS work can be delivered remotely. On-site sessions in Frankfurt are still useful for security discussions, stakeholder workshops, and migration planning, especially when several internal teams need to agree on the setup.
Look for a Azure Kubernetes Service specialist who can explain trade-offs clearly, not just deploy manifests. Good signs are clean cluster design, secure identity handling, sensible resource settings, and documentation that matches the actual running system.
The average hourly rate of freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects is 102 €, which corresponds to a daily rate of about 819 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects, 83% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects are German (100%), English (100%), and Persian (17%).
The most common industries among freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects are Automotive (83%), Banking and Finance (67%), and Information Technology (67%).
The most common business areas among freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (83%).
Main locations of FRATCH Experts, who have recently used Azure Kubernetes Service
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 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
