Azure Kubernetes Service Experts in Frankfurt
matched in minutes by AIHire experts who run production Kubernetes clusters on Microsoft Azure, automate delivery with Azure DevOps and GitHub Actions, and connect workloads to Azure networking, storage and security services. Get precisely matched with vetted, available freelancers quickly.
Meet FRATCH Experts in Frankfurt, who have recently used Azure Kubernetes Service
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
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Anton R.
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)
Werner K.
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
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.
Mahesh S.
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
David R.
Last position:
Lead Developer/Technical Architect
- Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
- Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
- Domain-Driven Design, Event-Driven Architecture with Kafka
- Development of an extensive query engine for REST endpoints based on business objects
- Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
- Analysis and evaluation of complex load test scenarios and derivation of optimizations
- Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
- Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
- Connection to Azure ServiceBus (AMQP protocol)
- Design and implementation of complex authorization concepts (including delegated administration)
- Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Rashid I.
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
Discover over 15,000 top freelancers
Statistics of experts using Azure Kubernetes Service
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.3 years (Germany: 1.7 years)
Positions per freelancer
16 (Germany: 13)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Automotive, Banking and Finance, Information Technology
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
86%
Master's degree or higher
43% (Germany: 47%)
Doctorate
14% (Germany: 8%)
Certifications per freelancer
9 (Germany: 5)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 98%)
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Azure Kubernetes Service experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (75%)
- Banking and Finance (75%)
- Information Technology (75%)
- Transportation (50%)
- Telecommunication (50%)
- Healthcare (38%)
- Insurance (38%)
- Aerospace and Defense (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What AKS provides
Azure Kubernetes Service, commonly called AKS, is Microsoft Azure’s managed Kubernetes service. It provides a control plane for orchestrating containerized applications while teams manage workloads, node pools and application operations. AKS supports scalable APIs, web platforms, event-driven services and internal business systems.
Where it runs
AKS fits cloud-native systems that need repeatable deployments, service discovery and controlled scaling. Companies use it for customer portals, data processing, SaaS products, machine learning services and hybrid application estates. In Frankfurt, it can support teams operating Azure workloads close to German and European users while collaborating remotely or on site.
- Container platforms for production applications
- Microservices with independent release cycles
- Batch, event-driven and data-intensive workloads
- Migration from virtual machines to containers
Ecosystem and tooling
Strong AKS specialists work across Kubernetes objects, Helm charts, ingress controllers, namespaces and persistent volumes. They connect clusters with Azure Container Registry, Azure Monitor, Microsoft Entra ID, Key Vault, managed databases and virtual networks. Infrastructure as code with Terraform or Bicep, plus delivery pipelines in Azure DevOps or GitHub Actions, makes environments consistent.
When expertise matters
Freelance expertise is valuable when a team is moving its first workloads to AKS, standardizing several clusters or resolving operational friction. Specialists can establish cluster foundations, improve deployment safety and document the operating model. They also help internal teams make practical choices about networking, identity, observability and cost control.
- Cluster design and workload migration
- Secure ingress, identity and network integration
- Helm-based release automation
- Monitoring, logging and incident readiness
What strong professionals deliver
A capable professional treats AKS as part of a wider Azure platform rather than an isolated Kubernetes installation. They define resource policies, availability practices, upgrade paths and backup procedures that fit the application. They can explain trade-offs clearly, leave usable documentation and transfer knowledge to the permanent team.
Selecting the right specialist
Look for evidence of production AKS work involving the same workload profile, compliance context and delivery model as your project. Ask how the specialist handles node pools, pod disruption, secrets, image security, autoscaling and failed releases. For Frankfurt-based collaboration, agree early on language, meeting cadence and which activities require local presence; many AKS tasks work effectively in a remote setup.
Frequently asked questions
Not sure where to start with Azure Kubernetes Service? These answers cover the essentials.
Azure Kubernetes Service is used to deploy and operate containerized applications on Microsoft Azure. It is well suited to microservices, APIs, event-driven workloads and platforms that need automated scaling, controlled releases and integration with Azure services.
AKS provides a managed Kubernetes control plane and close integration with Azure identity, networking, monitoring and registries. A self-managed cluster can offer more direct control, but it also leaves more responsibility for installation, upgrades, security and operational maintenance.
A strong Azure Kubernetes Service specialist usually understands Kubernetes administration, Linux containers, networking, identity and infrastructure as code. Experience with Terraform or Bicep, Helm, Azure DevOps, GitHub Actions, Azure Monitor and security controls is also valuable.
AKS project needs vary with the workload, migration risk and operational expectations. A contained proof of concept may need focused setup support, while a production platform benefits from someone who has handled upgrades, failure recovery, observability, secure access and release automation.
Azure Kubernetes Service work is often suitable for remote collaboration because cluster configuration, pipelines and documentation are handled through shared tools. Frankfurt teams should define access procedures, working hours, communication language and any on-site workshops before the engagement begins.
AKS is generally a better fit when a team needs Kubernetes-level control, custom networking, complex workload scheduling or a broad ecosystem of operators and extensions. Azure Container Apps can be simpler for containerized services where the team does not need to manage as much of the underlying platform.
Ask an AKS specialist to explain a comparable production setup, including network boundaries, identity, secrets, observability, upgrade planning and recovery procedures. Quality is shown through clear trade-offs, secure defaults, useful documentation and the ability to demonstrate how the system behaves under failure.
Azure Kubernetes Service engagements can range from cluster foundations to migration, platform operations or delivery automation. Freelancers should clarify the Azure subscription structure, existing Kubernetes standards, application ownership, access constraints, support expectations and whether the work includes knowledge transfer to the client team.
The average hourly rate of freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects is 92 €, which corresponds to a daily rate of about 739 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects, 86% hold at least a Bachelor's degree, 43% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.3 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 Russian (25%).
The most common industries among freelancers in Frankfurt, Germany who have used Azure Kubernetes Service in their recent projects are Automotive (75%), Banking and Finance (75%), and Information Technology (75%).
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 (75%).
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
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
