Kubernetes Experts in Frankfurt
matched in minutes with vetted, available specialistsHire experts who design clusters, set up Helm and ingress, and run reliable deployments with Kubernetes, K8s, and OpenShift. Get fast, precise matching with vetted, available freelancers who fit your stack and delivery pace.
Meet FRATCH Experts in Frankfurt, who have recently used Kubernetes
Ornel Franck Wora Yeno
Last position:
Purchasing Manager, Logistics & IT Manager at Onlinehandler
Proactive support of management in business field development & innovation management
New development of a suite of business applications for analyzing valuation, P&L, and market price risk data
Automation of all internal and external business and work processes
Development of AI-based and AI-supported ETL processes as well as data analysis
Business use-case development
Business and work process optimization
Enterprise architecture management
Sales data analysis and forecasting as well as capture
Inventory management & reordering
Supplier management and communication
Customs processing & clearance
Shipping handling & warehouse coordination
Interface management
Technologies used: Microsoft Office 365, Microsoft Teams, JTL-Wawi, JTL-WMS, OTTO Partner Connect (OPC), Amazon Seller Central, DHL Global Forwarding, Jira, Draw.IO, Java (8,17,21,25), Jenkins, SonarQube, Git, Gitea, Spring Boot, Spring Batch, Vaadin, H2, PostgreSQL, Docker, Local LLMs, Postman, JasperSoft Studio, JasperReports
Waseem Sattar
Last position:
Solution Architect / Subject Matter Expert at FRMCS terminal device manufacturer
Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-life use cases: creation of the requirement specifications for TOBA as well as the associated test specifications.
Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS
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.
Robert Francia
Last position:
Interim Project Manager at IT services company of a regional energy supplier
- Delivery of various end-customer projects in server and network infrastructure on time, in quality, and within budget.
- Project 1: Firewall renewal, replacement of an ASA firewall with a Fortinet firewall at an automotive supplier.
- Project 2: Migration of file services from dedicated servers at 5 branch locations into a central managed file service, including DHCP, directory, and print services, as well as decommissioning of the old domain controllers.
- Project 3: Renewal of the network infrastructure at the headquarters and branch locations of a logistics company and transition of the LAN, WLAN, and firewall environments into a managed network service.
- Project 4: Network renewal, replacement of the core and access switches at the headquarters of a medical technology company and transition into a managed network service.
- Project 5: Firewall renewal, replacement of an ASA firewall with a Fortinet firewall for a city.
- Environment: ASA and Fortinet firewalls, Cisco network components, ITSM Heat/Ivanti, Confluence.
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)
Saqib Javed
Last position:
AI Developer / AI Engineer (Lead) at KOM4TEC GmbH
- Conceptual design and implementation of modular AI assistants for sales and business processes in the Microsoft ecosystem (Agentic AI, Copilot extensions)
- Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, hooks, React Query, OpenAPI clients)
- Enterprise-level agent development: reusable skill/agent library, MCP server, review and compliance gates
- LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
- Architecture and code review consulting as well as mentoring in the AI development team
- Integration with Microsoft Graph, Power Platform, and Azure services
- Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure
Prasad Tilloo
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Mario Pucko
Last position:
Senior IT Project Manager / Program Lead – Network Strategy 2030 at ALDB GmbH
- Holistic responsibility for modernizing and expanding federal networks and upgrading critical data center and telecom infrastructure in the high-security agency environment of BDBOS
- Planning and management of the expansion of national BOS network infrastructure in the VS-NfD/KRITIS environment with technical decision authority at the architecture and component level (Cisco, Layer 2/3, WAN redundancy)
- Planning, tendering (EVB-IT/UVgO) and oversight of the upgrade of security-critical telecom infrastructure for emergency call 110/112 (ACD)
- Capacity planning, rack integration, structured cabling, power supply, cooling concept (CRAC/In-Row) and DCIM monitoring for data center expansion
- Building the IT department from scratch: structures, governance, processes, team recruiting, vendor selection and long-term IT strategy
- Planning and managing infrastructure and application migrations: migration strategies, batch planning, hypercare stabilization and rollback concepts
- Creating vendor-neutral specifications (telecom systems, signature solutions) according to EVB-IT and UVgO; contract award and vendor management
- Setting up a secure IT environment according to BSI basic protection, ISO 27001 and VS-NfD; developing IT security concepts and CMDB analyses
- Hands-on program leadership: decision papers for management and steering committees, risk management, reporting and change request control
Noel Lang
Last position:
Founder & Lead Engineer at ausbildung-in-der-it.de
- Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
- Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
- Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
- Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.
Uday Vanaparthy
Last position:
Full Stack JAVA Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Built and customized Helm charts and values.yaml configurations across 3 environments (ACT, SIMU, PROD), increasing deployment flexibility and consistency.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Used Podman and OpenShift for container orchestration and Liquibase for database version control.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Managed application images, JAR versions, and dependencies via DBAG Artifactory Repository Manager.
Anthony Mugwang'a
Last position:
CodeValdCortex - Enterprise Multi-Agent AI Orchestration Platform at Personal Project
- Enterprise-grade multi-agent AI orchestration platform built with Go and Kubernetes for scalable, secure agent coordination in cloud-native environments.
- Multi-agent orchestration with intelligent workload distribution and dynamic scaling.
- Cloud-native architecture with Kubernetes deployment and horizontal auto-scaling.
- Real-time coordination with sub-100ms agent communication using Go channels.
- Enterprise security with zero-trust architecture, RBAC, and comprehensive audit trails.
- Visual workflow engine with monitoring, observability, and API gateway integration.
- Technologies: Go, Kubernetes, ArangoDB, gRPC, Prometheus, 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
Basil Sattler
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Ingo Dettling
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
Discover over 15,000 top freelancers
Statistics of experts using Kubernetes
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 18 years)
Position duration
2.2 years (Germany: 5.1 years)
Positions per freelancer
15 (Germany: 12)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
93% (Germany: 91%)
Master's degree or higher
44% (Germany: 55%)
Doctorate
2% (Germany: 7%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Kubernetes
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
Cluster control
Kubernetes is the orchestration layer behind modern container platforms. It schedules workloads, handles service discovery, and keeps applications running when pods fail or nodes change. Companies use it to run web services, APIs, batch jobs, and internal tools with more control than a single server setup.
What experts do
Strong specialists turn a cluster into a usable delivery setup. They work on rollout strategies, resource requests and limits, autoscaling, secrets, ingress, and persistent storage. They also align Kubernetes with the application team’s release flow so deployments stay repeatable.
Core ecosystem
- Helm charts for packageable releases
- kubectl and kubeconfig for day-to-day operations
- Ingress controllers, service mesh, and network policies
- Prometheus and Grafana for observability
- CI/CD pipelines that push container images and manifests
When to bring help
Companies bring in freelance expertise when clusters are unstable, deployments are manual, or platform work has stalled. It also helps when a team is moving from Docker Compose, setting up a new environment, or standardizing multiple namespaces and teams. In Frankfurt, this often comes up in finance, logistics, and regulated enterprise environments.
What good specialists deliver
A good Kubernetes specialist is practical, not theoretical. They know how to read events, spot scheduling and networking issues, and keep manifests clean and predictable. They can explain trade-offs clearly and leave behind setups that the team can operate without guesswork.
Common project work
- Production cluster setup and hardening
- Workload migration from virtual machines or Compose
- Multi-environment deployments for staging and production
- Troubleshooting failed pods, probes, or service exposure
- Documentation for operations and handover
Frequently asked questions
What clients ask us most about Kubernetes — answered in short.
Kubernetes is used to run containerized applications in a controlled way. It handles placement, scaling, health checks, service discovery, and rollout updates so teams can ship changes without rebuilding the whole runtime each time. It is common for APIs, microservices, background workers, and platform services.
Kubernetes is built for orchestration across one or many machines, while Docker Compose is usually better for local or simple multi-container setups. If a team needs self-healing, scaling, scheduling, or safer deployments, Kubernetes is the stronger fit. For small internal tools, it may be more than you need.
A strong Kubernetes specialist usually understands containers, Linux, networking, and YAML-based configuration. Helm, ingress, DNS, storage, observability, and CI/CD are also important in real projects. For cloud work, knowledge of AWS, Azure, or Google Cloud is often valuable.
Companies often need Kubernetes help when deployments are failing, clusters are hard to operate, or a migration is blocking delivery. It also makes sense when internal experts know the tools but need hands-on support to stabilize production. A freelancer can step in for setup, troubleshooting, or a structured handover.
Ask which parts of Kubernetes they have worked on: cluster setup, application deployment, networking, storage, observability, or security. You should also ask how they document changes and what they need from your team to work efficiently. Clear answers here usually tell you more than a long list of tools.
Yes, Kubernetes work is often well suited to remote collaboration because most tasks happen through code, manifests, and cluster access. For sensitive environments or on-prem systems, some on-site time in Frankfurt may still help with access, stakeholders, or handover. The best setup depends on your security and delivery process.
Look for someone who can explain failures clearly and fix root causes, not just restart pods. A strong Kubernetes professional should understand rollout safety, resource tuning, networking, and how to keep a cluster maintainable. Good documentation and clean manifests are usually strong signs.
OpenShift is built on Kubernetes, but it adds its own tooling, opinionated defaults, and platform controls. Some teams prefer it because it standardizes how applications are deployed and managed. If your environment already uses OpenShift, choose someone who has worked with both the platform and the underlying Kubernetes layer.
The average hourly rate of freelancers in Frankfurt, Germany who have used Kubernetes in their recent projects is 103 €, which corresponds to a daily rate of about 821 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Kubernetes in their recent projects, 93% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 2% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Kubernetes in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Kubernetes in their recent projects are German (100%), English (100%), and French (15%).
The most common industries among freelancers in Frankfurt, Germany who have used Kubernetes in their recent projects are Information Technology (94%), Banking and Finance (76%), and Transportation (46%).
The most common business areas among freelancers in Frankfurt, Germany who have used Kubernetes in their recent projects are Information Technology (100%), Product Development (83%), and Operations (63%).
Main locations of FRATCH Experts, who have recently used Kubernetes
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.
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!

Berlin
Hamburg
Munich
Cologne
Stuttgart
Dusseldorf
Leipzig
Dortmund
Essen
Dresden
Hanover
Nuremberg