
Helm Experts in Düsseldorf
for reliable Kubernetes releases, matched in minutes with vetted professionalsWork with specialists who create maintainable Helm charts, manage Kubernetes releases and connect deployment workflows with CI/CD pipelines. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Düsseldorf, who have recently used Helm
Marijn S.
Last position:
Senior Software Engineer at Puls Security GmbH
Optimizing and acceleration of our Gitlab CI pipeline
Conceptual work for the PoC of the Zero Trust system
Extension of the policy-engine backend in Go
Extension of the policy-testing mechanism in Python
Architectural design of the PEP component of Zero Trust
Documentation of the product
Technologies: Zero Trust, Go, Python, Gitlab CI, Docker, JWT, Domain-Driven Design
Murad K.
Last position:
Senior AI/ML Engineer at Quantistry GmbH
- Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
- Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
- Deployed and configured vLLM-based LLM serving on Kubernetes
- Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
- Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
- Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
- Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
- Implemented an MLflow model registry with MinIO-backed artifact storage
- Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes
Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest
Christian W.
Last position:
Software Engineer, cross-platform Application Manager at International major bank
- Creating interfaces between the legacy platform and the new container solution
- Coordinating required contributions from line units
- Moderating regular status meetings with the software vendor
- Minimally invasive conversion of TWS scheduling from the old to the new platform
- Environment: IBM Mainframe, DB2, CICS, MQ, Red Hat Linux, Oracle, Kubernetes, Kafka, Helm, GitLab, Jenkins
Olaf R.
Last position:
DevOps Architect / Consultant at Authority with increased security requirements
- Identification of requirements (legal, organizational, and technical)
- Design of solution architectures
- Evaluation of concepts and technologies
- Preparation of decision templates
- Architectural Decision Records (ADR)
- Coordination of implementation
- Review of implementations
- Documentation
Andreas G.
Last position:
Senior Fullstack .NET (Core) & Angular Developer at IT Service Provider
- Supporting several agile teams in the new product development of an enterprise CRM and ERP application
- Web frontend development with Angular 17–21 (microfrontends, Domain-Driven Design, MDB-Bootstrap)
- Backend development with C# and .NET 7–10, MongoDB, MassTransit, RabbitMQ, Entity Framework Core, ElasticSearch (microservices, DDD)
- Technical feature design for assigned tasks
- Technical architecture design including forward-looking planning of AI-supported extension options
- Proof-of-concept implementation of AI-supported workflows with n8n and a locally hosted LLM (Ollama)
- Coordination with stakeholders and Product Owners, support with sprint planning
Result: Delivery of production-ready microservices and frontend modules in agile sprint cycles.
Environment: .NET 7–10 · Angular 17–21 · C# · TypeScript · OpenAPI · Microfrontends · DDD · Kubernetes · Docker · Helm · MS SQL Server · PostgreSQL · MongoDB · MassTransit · RabbitMQ · EF Core · ElasticSearch · Kibana · Azure DevOps · KeyCloak · n8n · Ollama
Reza S.
Last position:
DevOps and Cloud Engineer at Rhomberg Sersa Rail Group
- Migration of backups and complete workloads to AWS and Azure, including setup and management of AKS & EKS clusters.
- Automation with Terraform & ArgoCD, CI/CD pipelines implemented with GitLab.
- System monitoring on OpenShift 4 (on-premise) with Grafana & Prometheus, use of CloudWatch and X-Ray for analysis and logging.
- Building and maintaining secure network infrastructures (VPCs, SGs, WAF, ACLs), integration of Azure Log Analytics.
- Close collaboration with infrastructure and development teams, maintenance of technical documentation with Confluence, ticket handling via Jira, and promoting cloud knowledge within the company.
Cherif S.
Last position:
DevOps Specialist – SCM & CI Platform at Freelancer
- Designed and developed the architecture of an enterprise SCM/CI platform for Kubernetes-native delivery and GitOps workflows.
- Implemented infrastructure automation and Vault & IAM integration for secure, compliant pipelines.
- Coordinated cross-functional teams to improve DevOps, security, and architecture in release processes.
- Increased platform adoption and developer experience by automating onboarding and artifact pipelines.
Bernhard D.
Last position:
Enterprise Architect. And responsible for the cross-functional architecture as well as all domains with a focus on the sales at Süddeutsche Krankenversicherung
Creation of business and technical concepts as well as support for enterprise architecture management as part of the migration to the Adesso standard insurance solutions and the renewal of surrounding systems
Interface definitions
Business analysis and creation of the business concepts for input management and sales
Creation of architecture guidelines and processes
Processing technical and business decisions in the architecture board
Definition of service processes and system management aspects
Creation of the technical target operating model
Creation of an integration architecture for AI/LLMs from the providers Commasoft and Insiders
CommaSoft (Alan) webpages and web services
Insiders for Smartfix based on web services
Creation of a question catalog for a security/regulatory check.
Analysis of threats using threat modeling / STRIDE incl. creation of a set of measures to secure the systems
System environment: Jira, Confluence, Java, Enterprise Architect, VAIT/DORA, KritisV, GDPR, IT ServiceMgmt, Adesso Ecosphere and Insure Health, DoPIX and successor product, SmartFix, SmartFlow, Zabas, Kolumbus, Clarc archive, BiPRO, AI / LLM, MS Azure, AWS, TOM/FMO
Jacqueline H.
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Discover over 15,000 top freelancers
Statistics of experts using Helm
Aggregated from the professional profiles of matched freelancers.
Experience
18 years

Position duration
1.5 years (Germany: 1.8 years)

Positions per freelancer
13

Top business areas
Information Technology, Product Development, Project Management

Top industries
Banking and Finance, Information Technology, Government and Administration

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 90%)
Master's degree or higher
50% (Germany: 55%)

Certifications per freelancer
14 (Germany: 3)

Most common languages
German, English, Spanish

Speak two or more languages
100% (Germany: 96%)
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 Düsseldorf 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.
Average rates of experts in Düsseldorf using Helm
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.
Helm experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (100%)
- Information Technology (100%)
- Government and Administration (56%)
- Energy (44%)
- Manufacturing (44%)
- Retail (44%)
- Insurance (33%)
- Transportation (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Kubernetes packaging
Helm is a package manager for Kubernetes. It bundles manifests, configuration and deployment logic into reusable charts, so teams can install and update applications consistently across clusters. A chart can describe services, deployments, ingress rules, secrets and persistent storage while keeping environment-specific values separate.
Charts and releases
Helm charts use templates and values files to turn one application definition into configurable releases. Helm tracks release history and supports upgrades, rollbacks and dependency management. Strong chart design keeps defaults clear, validates inputs and avoids hidden coupling between services.
Ecosystem and tooling
Helm specialists work across the Kubernetes toolchain, not only with chart files. Common adjacent tools and practices include:
- Kubernetes manifests, namespaces, services and ingress
- Helm repositories, chart dependencies and OCI registries
- Git-based workflows and pull-request review
- CI/CD with automated linting, testing and release promotion
- Terraform, Argo CD, Flux and cloud Kubernetes services
When expertise helps
Companies bring in freelance Helm expertise when charts have become difficult to maintain, releases behave differently between environments or teams need a safer delivery process. It is also useful when moving workloads into Kubernetes, creating an internal chart library or standardizing deployments across development, staging and production. In Düsseldorf, remote collaboration is common, while some regulated or operational teams may prefer on-site workshops.
Typical deliverables
A professional may deliver new charts, chart refactoring, values structures, dependency setups and release pipelines. They can also document deployment conventions, introduce policy checks and troubleshoot failed upgrades. For teams working with colleagues or stakeholders in Germany, clear English and, where needed, German communication can support smoother delivery.
Judging strong specialists
Look for practical experience with Kubernetes operations, templating, release lifecycles and production troubleshooting. A strong specialist explains why a chart is structured a certain way, tests rendered manifests and treats secrets, upgrades and rollback paths as part of the design. Review examples that show maintainability, predictable configuration and useful documentation rather than chart complexity alone.
Frequently asked questions
Everything clients usually want to know about Helm, in one place.
Helm packages Kubernetes resources into charts that teams can configure and deploy as releases. It helps standardize application installation, upgrades, rollbacks and dependencies across environments.
Helm adds templates, reusable values, release history and dependency handling to Kubernetes YAML. Raw manifests can be simpler for small or static workloads, while charts are useful when applications need repeatable configuration across environments.
A strong Helm specialist should understand Kubernetes networking, storage, security and troubleshooting. Useful adjacent skills include Git, CI/CD, OCI registries, Terraform and GitOps tools such as Argo CD or Flux.
The right level depends on the scope, risk and state of the cluster rather than a fixed amount of time. A chart cleanup may need focused templating and testing skills, while a platform rollout calls for production Kubernetes operations, release strategy and incident troubleshooting.
Yes, Helm work is often well suited to remote collaboration because charts, pipelines and documentation live in shared repositories. On-site sessions in Düsseldorf can still help with architecture workshops, access reviews or coordination across teams.
Ask the Helm professional to explain chart structure, value precedence, dependency choices and rollback handling. Review whether they test rendered output, protect sensitive configuration and leave clear instructions for future maintainers.
Helm charts are versioned packages containing templates, default values, metadata and optional dependencies. A well-organized chart separates reusable templates from environment-specific values and makes required settings easy to discover and validate.
Helm no longer relies on the separate Tiller server used by Helm 2. Current releases use the Kubernetes API with the user's permissions, which simplifies the architecture but makes cluster access and role configuration important parts of a secure setup.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Helm in their recent projects is 103 €, which corresponds to a daily rate of about 825 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Helm in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used Helm in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Helm in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Dusseldorf, Germany who have used Helm in their recent projects are Banking and Finance (100%), Information Technology (100%), and Government and Administration (56%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Helm in their recent projects are Information Technology (100%), Product Development (67%), and Project Management (67%).
Main locations of FRATCH Experts, who have recently used Helm
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.
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