Azure Kubernetes Service Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Azure Kubernetes Service
Thomas Hoefkens
Last position:
Senior MLOps, DevOps Engineer at Trianel Energy
- Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
- Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
- Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
- Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
- Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
- Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
- Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
- Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
- Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
- Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
- Integration of RESTHeart to create a REST API for MongoDB.
- Build an Angular frontend to simplify data queries and master data maintenance.
- Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
- Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).
Mohamad Dib-Skhni
Last position:
DevOps Engineer & IT-Security-Architect at BMW Group
- Set up Azure Kubernetes clusters (AKS) with network policies, security groups, and RBAC
- Developed Terraform-based infrastructure as code for secure, reproducible deployments in the BMW Azure cloud
- Hardened CI/CD pipelines using Jenkins, SonarQube, Fortify SSC, and Contrast AST
- Integrated SAP BTP/Kyma and ServiceNow GRC
Teemu Suvanto
Last position:
SRE at E.On SE
- Maintained a SaaS billing platform on AWS as part of the Site Reliability Engineering (SRE) team.
- Played a key role in an AWS cloud migration project, implementing Terraform (IaC), creating CI/CD processes and pipelines, hardening images, upgrading tool versions, and developing scripts.
- Wrote documentation.
AWS Cloud migration:
- Design and implement CI/CD for deploying AWS resources using GitLab CI, Terraform, and GitOps.
- Create and configure DevOps toolchain including Jenkins, Harbor, and Vault.
- Deploy billing application, microservices, and supporting infrastructure services to Nomad clusters.
- Re-designed TLS/mTLS certificate management using Vault and Lambda.
Security (Infrastructure Hardening & Patch Management & Vulnerability Scanning):
- Managed multiple AWS accounts for Consul/Nomad/Traefik clusters (10–20 EC2 instances/account, ASG) and DevOps toolchain accounts (Harbor, Jenkins, Vault).
- Created hardened AMIs via Packer based on CIS benchmarks for Nomad, Jenkins, Harbor, and Vault; deployed using Terraform.
- Integrated Trivy via Harbor plugin for container image scanning.
- Implemented strict AWS VPC security group rules.
- Developed and maintained patching process across environments using Qualys and Wiz.
- Deployed Qualys Cloud Agent to all EC2 instances, tracked CVEs and tested patches in lower environments before rollout.
- Automated patch deployment across all AWS accounts using Terraform and GitLab CI and verified patch compliance via Qualys/Wiz dashboards.
Ales Loncar
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Andreas Kraus
Last position:
Senior Developer at ioki GmbH, a Deutsche Bahn AG company
- Fullstack development based on Next.js and TypeScript
- Development and optimization of geospatial database queries for PostgreSQL/PostGIS
- Visualization of geospatial data using Mapbox
- Design and execution of load tests and performance optimizations
- Code reviews and documentation tasks
- Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS
Discover over 15,000 top freelancers
Statistics of experts using Azure Kubernetes Service
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 20 years)
Position duration
1.2 years (Germany: 1.7 years)
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Energy
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
100% (Germany: 86%)
Master's degree or higher
40% (Germany: 47%)
Doctorate
20% (Germany: 7%)
Certifications per freelancer
2 (Germany: 4)
Most common languages
German, English, Spanish
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 Munich 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 Munich 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 Azure’s managed Kubernetes service. Companies use it to run containerized apps, microservices, APIs, batch jobs, and internal platforms without managing the control plane themselves.
What specialists deliver
- Cluster design and upgrades
- Workload deployment with Helm and manifests
- Ingress, DNS, and certificate setup
- Autoscaling, storage, and networking
- Observability with logs, metrics, and tracing
Azure ecosystem fit
Strong professionals know how AKS connects to Azure Container Registry, Azure Identity, Key Vault, Monitor, and virtual networks. They also understand policies, namespaces, node pools, and RBAC so the platform stays secure and easy to operate.
When to bring help in
Teams often look for freelance expertise when a cluster must be launched quickly, a migration from on-premises Kubernetes is blocked, or a production issue needs focused attention. In Munich, this is common for software companies, industrial firms, and enterprise teams that need clear communication and remote-friendly delivery.
What good experts do
- Keep deployments repeatable
- Reduce drift between environments
- Tune workloads for reliability
- Document runbooks and handover steps
- Spot platform risks early
Signals of real experience
A strong specialist can explain trade-offs between managed services, show how they secure secrets and traffic, and troubleshoot scheduling, image pulls, or network policies without guesswork. They should be comfortable with Kubernetes on Azure and able to work cleanly with both developers and operations teams.
Frequently asked questions
Before you brief your next project: the most common questions about Azure Kubernetes Service.
Azure Kubernetes Service is used to run containerized applications on managed Kubernetes in Azure. It is a fit for microservices, APIs, internal tools, scheduled workloads, and platform foundations. Teams choose it when they want Kubernetes control with less operational overhead on the control plane.
AKS removes much of the cluster management work, such as control plane operations and many upgrade tasks. Self-managed Kubernetes gives more low-level control, but it also adds more maintenance and more room for platform drift. For most companies, AKS is the simpler way to keep Kubernetes standardized in Azure.
A strong Azure Kubernetes Service specialist usually knows Azure networking, identity, storage, and monitoring. Helm, Terraform, container image management, and Linux troubleshooting are also common. For production work, experience with security, ingress, and release automation matters just as much.
Azure Kubernetes Service projects can be simple or complex, depending on whether you need a new cluster, a migration, or a production rescue. Small setups may only need one specialist, while larger platforms benefit from someone who has worked on networking, security, and operations together. The key is practical cluster work, not just theory.
Yes, most AKS work can be done remotely if the team has clear access, good documentation, and a stable way to review changes. On-site time can help during workshops, incident reviews, or early platform design. In Munich, many teams mix remote delivery with a few in-person sessions when needed.
With Azure Kubernetes Service, the usual risks are weak networking design, poor identity handling, messy secrets management, and unclear ownership of upgrades. Another common issue is treating Kubernetes like a plain VM platform and skipping automation. A good specialist prevents that by setting standards early.
Ask for concrete examples of clusters they have delivered, upgraded, or stabilized on AKS. Look for clear answers about ingress, RBAC, node pools, observability, and failure handling. Good specialists explain trade-offs plainly and leave behind documentation that your team can actually use.
Usually yes, because Azure Kubernetes Service connects well with other Azure components such as registry, identity, networking, and monitoring. That makes it easier to keep infrastructure inside one ecosystem and align access, logging, and deployment flows. It is especially useful when Azure is already the center of your platform.
The average hourly rate of freelancers in Munich, Germany who have used Azure Kubernetes Service in their recent projects is 99 €, which corresponds to a daily rate of about 789 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Azure Kubernetes Service in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Azure Kubernetes Service in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 1.2 years.
The most common languages among freelancers in Munich, Germany who have used Azure Kubernetes Service in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Munich, Germany who have used Azure Kubernetes Service in their recent projects are Information Technology (100%), Automotive (83%), and Energy (67%).
The most common business areas among freelancers in Munich, Germany who have used Azure Kubernetes Service in their recent projects are Information Technology (100%), Product Development (100%), and Operations (67%).
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 
Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
