Kubernetes Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used Kubernetes
Vladimir E.
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Tobias V.
Last position:
Managing Partner at Unwritten GmbH
- Pioneering work in personalized AI: developing a framework for “Interactive Content” (RAG) for novels, lectures, expert debriefing
- Successful launch of Einbug, the Pantopia chatbot, with media coverage (SZ interview)
- Creating compelling AI personalities: AI blog ([link] 100% personalized learning environments, Perry Rhodan, among others.
Johannes K.
Last position:
Software Developer at Hoffmann Engineering Services GmbH
- Software development
- Technical design of software architecture and design (considering functional and non-functional requirements)
- Frontend and Backend
- Refactorings
- Code reviews
- Unit tests
- Automated integration tests
- E2E tests
Global Identity Services (GIS) is the identity provider for the Digital Services Platform (DSP). GIS is responsible for authenticating and authorizing end users and other DSP services by issuing security tokens. This includes:
- Identity management (e.g., user registration, password reset and change, user profiles)
- Management of roles and permissions
- Single Sign-On (SSO) across DSP services
- Management of OAuth resources and terms and conditions
Ioan D.
Last position:
Senior Software Developer at ING
- Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
- Analysis, design, development, and testing of new requirements for Optimmo, construction financing software.
- Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
- Analysis, design, development, and testing of the Wicket Optimmo application.
- Analysis, design, development, and testing of kredit-baufi batch programs.
- Migration of kredit-baufi batches to RHEL9.
- CiL SCS Consumer Pacts with Finagle.
- CiL ScS Touch Point Architecture Integration.
- Team size: 10.
- Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, Gitlab, JIRA, Confluence, git, Spring 6.0, Sping Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, Intellij IDEA, Wicket 9 and 10, Istio.
Arun Sai T.
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Si T.
Last position:
Senior Software Architect at Anonymous (European Payment Provider)
- Development of a new innovative payment product for the European market with the aim of establishing an alternative to the existing global players.
- Set-up and scaling of the software development processes and teams.
- Architect and implementation of the business processes in an event sourcing microservice architecture.
- Implementation on a prototype in the context of the Digital Euro.
- Technologies: Ktor (Kotlin), AWS Managed Kubernetes with Fargate, MongoDB, React, ElasticSearch, KoTest, Gradle, Agile Development, Pair Programming, GitHub Actions, Gradle, SonarQube
Andreas V.
Last position:
Senior Software Developer, Architect at ifm Solutions GmbH
- IoT platform to connect, transform and get actionable results
- Built a microservice observability solution to improve insights for developers and operations teams
- Made advanced performance optimizations in .NET code, databases and time series
- Provided architectural advice to developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies, including time series databases and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
Mayuri K.
Last position:
Platform Engineer at Madison Logic
- Designed and operated a GitOps-based Kubernetes platform, migrating services from AWS ECS to Amazon EKS.
- Built automated CI/CD pipelines for container build and deployment using GitLab CI, Helm, and Argo CD.
- Developed reusable Helm charts for Kubernetes resources (Ingress, Services, Secrets, HPA, ExternalDNS).
- Provisioned and managed EKS (Fargate and EC2) using Infrastructure as Code (Terraform / OpenTofu).
- Implemented OIDC-based authentication and authorization (Okta) for secure access to Kubernetes and Argo CD.
- Improved container security by migrating services to distroless images.
- Implemented logging, monitoring, and observability to ensure system reliability and performance.
- Automated cloud cost optimisation using Python (Boto3), achieving approximately 45% cost savings.
- Led migration of AWS infrastructure to IaC, reducing configuration drift and deployment issues.
- Produced technical documentation and operational runbooks, supporting internal engineering teams.
Radovan R.
Last position:
Development and Technical Architecture at HDI
Web application for contract changes
Micro frontend development from scratch through production with a Reactive Forms basis, Responsive Web Design, validation, multilingual support, accessibility, unit tests and component tests
Technologies: Angular 19-20, Nx, Angular CLI, Native Federation, TypeScript, HTML, SASS, Tailwind CSS, Angular Material, Reactive Forms, RxJS, Signals, PDF-Make, ng-openapi-gen, i18n, JSON Server, REST, JWT, Jest, Playwright, IntelliJ, Git, CI/CD with GitLab, Cloud Foundry, Nginx; Scrum
Uddipan B.
Last position:
Research Team Member at Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Vasuraj B.
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Torben M.
Last position:
Solution Architect (Volunteer) at Stop The Traffik
- Designed 3 architectures to determine the most cost-effective solution regarding customer requirements
- Created the production and test environments from scratch
- Tech Stack: AWS (Serverless, CI/CD), GitHub
Discover over 15,000 top freelancers
Statistics of experts using Kubernetes
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.1 years (Germany: 5.1 years)
Positions per freelancer
9 (Germany: 12)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
82% (Germany: 57%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Hindi
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Discover detailed Kubernetes rate benchmarks:
Explore rate insightsAverage rates of experts in Nuremberg 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Kubernetes 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%)
- Automotive (58%)
- Banking and Finance (58%)
- Manufacturing (42%)
- Professional Services (42%)
- Government and Administration (42%)
- Energy (25%)
- Transportation (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Kubernetes does
Kubernetes is an open-source system for running containerized applications across clusters of physical or cloud infrastructure. It schedules workloads, manages service discovery, replaces failed containers and supports controlled releases. Companies use it for microservices, APIs, data processing, internal platforms and applications that must scale reliably.
Core building blocks
A Kubernetes environment combines clusters, nodes, pods, deployments, services, ingress resources and persistent volumes. Specialists configure namespaces, resource requests, probes, autoscaling and network policies so workloads remain isolated and predictable. They also connect Kubernetes with public clouds, private data centers and hybrid infrastructure.
Ecosystem and tooling
The surrounding ecosystem covers container images, registries and infrastructure automation. Common tools include Docker or other OCI runtimes, Helm, Kustomize, Terraform, Argo CD, Flux, Prometheus, Grafana and centralized logging. Strong professionals select tools that fit the delivery model rather than adding unnecessary operational complexity.
Typical delivery work
- Design cluster architecture for cloud, on-premises or hybrid environments
- Migrate services from virtual machines or simpler container setups
- Create Helm charts, manifests and reusable deployment patterns
- Build CI/CD and GitOps workflows with safe rollback paths
- Set up monitoring, logging, alerting, backup and disaster recovery
These deliverables support product teams in software, manufacturing, logistics, healthcare and other regulated or operationally demanding environments. In Nuremberg, local collaboration can be useful when platform work touches factory systems, data centers or established enterprise processes.
When companies need specialists
Freelance expertise is valuable during a first cluster rollout, a cloud migration, a platform redesign or a difficult production incident. It can also close gaps around security hardening, cost control, cluster upgrades and developer self-service. A company usually needs this support when teams deploy inconsistently, releases are slow, or failures are difficult to diagnose.
What strong professionals bring
Good Kubernetes professionals understand distributed systems, Linux, networking, identity, storage and cloud services. They treat configuration as code, document operational decisions and test recovery instead of focusing only on successful deployments. Look for evidence of production ownership, clear incident practices, thoughtful security controls and the ability to explain trade-offs to application teams.
Frequently asked questions
Before you brief your next project: the most common questions about Kubernetes.
Kubernetes is used to deploy and operate containerized applications across a cluster of machines. It automates scheduling, service discovery, scaling, health checks and replacement of failed workloads. Companies commonly use it for microservices, APIs, batch processing and internal developer platforms.
Kubernetes offers a broader ecosystem and more detailed controls for networking, storage, security and deployment automation. Docker Swarm is simpler for smaller container environments, while Nomad can be a leaner choice for mixed workloads. The right option depends on operational complexity, team skills and the required integrations.
A strong Kubernetes specialist usually understands Linux, container images, networking, DNS, storage and cloud infrastructure. Helpful adjacent skills include Terraform, Helm, GitOps, CI/CD, Prometheus, Grafana and identity management. Experience with a specific cloud provider matters when the cluster uses managed services.
The required depth depends on the risk and scope of the work. A small development cluster may need configuration and troubleshooting skills, while a production platform requires experience with upgrades, security, observability, backup and recovery. Ask candidates to describe comparable environments and the decisions they owned.
Much of Kubernetes work can be handled remotely through secure access, infrastructure repositories and video collaboration. On-site sessions in Nuremberg may help when specialists must connect the platform to local data centers, factory systems or teams that prefer face-to-face workshops. Agree on access controls, working language and handover routines early.
Review how the specialist handles failure, security and operational maintenance, not only how quickly a cluster is created. Ask for examples involving observability, rollback, capacity planning, access control and disaster recovery. Clear documentation, tested automation and measurable acceptance criteria are strong quality signals.
A frequent Kubernetes mistake is adopting it before the application and operating model are ready. Other problems include weak resource limits, missing network policies, unmanaged secrets, poor monitoring and untested recovery procedures. Specialists should reduce complexity and explain when a simpler deployment model is more suitable.
Freelancers working with Kubernetes often design clusters, create deployment standards, migrate workloads and automate delivery. They may also improve platform security, troubleshoot production incidents, tune resource usage or train internal teams. The exact role can range from a focused migration to ownership of a complete platform workstream.
The average hourly rate of freelancers in Nuremberg, Germany who have used Kubernetes in their recent projects is 93 €, which corresponds to a daily rate of about 747 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Kubernetes in their recent projects, 100% hold at least a Bachelor's degree and 82% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used Kubernetes in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Nuremberg, Germany who have used Kubernetes in their recent projects are German (100%), English (100%), and Hindi (17%).
The most common industries among freelancers in Nuremberg, Germany who have used Kubernetes in their recent projects are Information Technology (100%), Automotive (58%), and Banking and Finance (58%).
The most common business areas among freelancers in Nuremberg, Germany who have used Kubernetes in their recent projects are Information Technology (100%), Product Development (92%), and Business Intelligence (50%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Leipzig 
Dortmund 
Essen 
Dresden 
Hanover Request a free demo
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