GlassFish Experts in Munich
, matched in minutes from over 15,000 CVsHire experts who deliver GlassFish application servers, Jakarta EE services, secure deployments and production integrations. FRATCH precisely matches you with vetted, available freelancers who fit your technical needs and can start quickly.
Meet FRATCH Experts in Munich, who have recently used GlassFish
Ronald M.
Last position:
DevOps Consultant at M.it services & systems GmbH
- Adaptation, optimization, configuration, and administration of a multi-stage GitLab instance with over 250 users
- Setup, adaptation, expansion, and optimization of infrastructure, configuration, and monitoring
- Provisioning of services and handover to production
- System environment: DependencyTrack, GitLab, Grafana, Hedgedoc, Kubernetes, Oauth2 Proxy, Openstack, Prometheus, Syseleven
Vitaliy R.
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Celso K.
Last position:
SAP Commerce Cloud FullStack Developer at Spar
- Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
- Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
- Integration of Microsoft Azure Event Grid with SAP Hybris
- Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
- Support and customization of a Spartacus shop
- Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube
Werner A.
Last position:
IT Architecture, Business and Process Consulting at BMW
- Business and technical consulting for master data provisioning and process management
- Support for transition management
- Process optimization
- Interface definition
Syamala H.
Last position:
Fullstack Developer at BLG Logistics Group
As part of developing this project, various apps were developed for an IBM portal environment based on portlets and Spring Boot services, as well as the setup of a BI platform based on QlikView
Full-stack development of applications, technical analysis, refinement of requirements with the business department, coordination with the customer, DevOps
Team size: 8 people
Technology: Java 11.0, Maven, Git, Spring, Hibernate, JUNIT, Mockito, React, Jira, SQL, Spring Boot, CD/CI Jenkins, Kanban, Rest Api, Oracle
Environment: Eclipse, IBM Rational Application Developer
David C.
Last position:
Scrum Master, Agile Coach at Steadforce
Agile coaching at BMW – 8 coaching projects
Advised BMW department on introducing agile software development
Coaching product owners, Scrum Masters, managers and teams
Trainer for product owner workshops
Consulting firm project (Jan 2017 to present): Steadforce was the main partner in developing products that consultants used on client sites
As Scrum Master, supported scaling the project from six developers to three distributed Scrum teams with developers in Germany, Poland, Romania and Ukraine as well as stakeholders in Germany, US and India
Agile values evangelist
Organizing Scrum meetings
Facilitating retrospectives
Co-organizing team workshops
Working on code quality and test coverage for almost daily releases
UMS at BMW (Sept 2016 to present): Scrum Master for a team of 3 software developers
Organizing Scrum meetings and collaborating in Jira with the product owner at the client for agile fixed-price billing (payment based on t-shirt sizing)
Steadforce Campus: Redefining software development processes at Steadforce with a focus on clean code, code reviews and Scrum
Michael P.
Last position:
Setup Azure cloud, Java development, CI/CD pipelines at Sulzer GmbH
- Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
- Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
- Implementation of the mainframe job control in Java
- Mapping of job network dependencies in Control-M
- Performance analysis and optimization measures
- DB2 (z/OS) migration to Postgres (Azure)
- Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
- Tools: Eclipse, Visual Studio Code, IntelliJ
Janusz M.
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Discover over 15,000 top freelancers
Statistics of experts using GlassFish
Aggregated from the professional profiles of matched freelancers.
Experience
28 years
Position duration
2 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
86%
Master's degree or higher
57%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 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 GlassFish
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.
GlassFish 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 (63%)
- Banking and Finance (50%)
- Manufacturing (38%)
- Retail (38%)
- Professional Services (25%)
- Government and Administration (25%)
- Telecommunication (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
GlassFish foundations
GlassFish is an open-source application server for Jakarta EE, formerly known as Java EE. It provides the runtime for enterprise Java applications, including web services, persistence, messaging, security and transaction management. Companies use it when they need a standards-based server for structured, long-running business systems.
Enterprise applications
GlassFish supports applications built with Jakarta EE APIs such as RESTful services, CDI, JPA, Servlet, WebSocket and Jakarta Server Faces. It can host modular services, internal portals, customer-facing applications and integration layers. Its standards focus helps teams move application code between compatible Jakarta EE runtimes when the architecture allows it.
Ecosystem and tooling
Experts commonly work with Maven or Gradle, Java, Jakarta EE APIs, JUnit, REST clients, relational databases and container tooling. They configure domains, resources, connection pools, security realms, certificates, logging and deployment pipelines. Familiarity with Payara, WildFly, Open Liberty and application-server migration adds practical value when teams compare runtime options.
When companies need help
- Migrating applications from Java EE to Jakarta EE namespaces
- Configuring GlassFish domains, clusters, resources and security
- Deploying enterprise archives and web applications through reliable pipelines
- Diagnosing startup, class-loading, transaction and performance issues
- Connecting applications to databases, queues and external services
Freelance expertise is useful during a platform change, a production incident, a release with strict deployment requirements or a handover from an internal team. In Munich, specialists may support local product, manufacturing, finance and public-sector systems remotely or on site, depending on access and collaboration needs.
Strong specialist skills
A strong GlassFish professional understands both the application and the runtime beneath it. They can trace a request across REST endpoints, dependency injection, persistence, transactions and database connections rather than treating server logs in isolation. They also document configuration clearly and distinguish an application defect from a container, network or infrastructure problem.
Evaluating project fit
Ask which Jakarta EE version, Java release, GlassFish distribution and deployment model the project uses. Clarify whether the work involves new delivery, migration, upgrades, production support or integration with an existing platform. For remote collaboration, agree on access, incident response, documentation and working language early; German and English may both matter for teams in Munich.
Frequently asked questions
Not sure where to start with GlassFish? These answers cover the essentials.
GlassFish is an application server for running Jakarta EE enterprise applications. It provides services for web requests, REST APIs, dependency injection, persistence, transactions, security and messaging, making it suitable for business systems that need a managed Java runtime.
GlassFish is closely associated with the reference implementation of Jakarta EE and is often chosen for standards validation, learning and straightforward enterprise deployments. Payara extends the GlassFish codebase with additional production features, while WildFly and Open Liberty offer different operational models, tooling and ecosystem choices.
A strong GlassFish specialist usually knows Java, Jakarta EE APIs, Maven or Gradle, REST, JPA, relational databases and application security. Experience with containers, CI/CD, Linux, observability and cloud deployment is also valuable when the server is part of a wider delivery environment.
The right GlassFish experience depends on the scope. A configuration task may need focused application-server knowledge, while a migration or production stabilization effort calls for someone who has handled Jakarta EE compatibility, deployment automation, database connections and operational incidents.
Yes. GlassFish work is often suitable for remote collaboration when secure access, logs, deployment procedures and decision owners are available. Munich teams should clarify on-site access needs, meeting routines and whether communication must be in German, English or both.
Ask a GlassFish expert to explain a relevant deployment, migration or incident in concrete terms. Look for clear reasoning about domains, resources, class loading, transactions, security and logs, plus evidence that they document changes and test them safely.
GlassFish remains relevant as a Jakarta EE reference implementation and as a practical runtime for suitable applications. Before choosing it for production, teams should compare its release path, support expectations, operational requirements and ecosystem fit with alternatives such as Payara, WildFly and Open Liberty.
Before starting, a GlassFish specialist should request the Java and Jakarta EE versions, server distribution, deployment topology, build process, database and messaging dependencies, security setup and recent logs. The project should also define whether the expected outcome is a fix, migration, upgrade, performance improvement or documented operating procedure.
The average hourly rate of freelancers in Munich, Germany who have used GlassFish in their recent projects is 90 €, which corresponds to a daily rate of about 720 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used GlassFish in their recent projects, 86% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used GlassFish in their recent projects have 28 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used GlassFish in their recent projects are German (100%), English (100%), and Spanish (25%).
The most common industries among freelancers in Munich, Germany who have used GlassFish in their recent projects are Information Technology (100%), Automotive (63%), and Banking and Finance (50%).
The most common business areas among freelancers in Munich, Germany who have used GlassFish in their recent projects are Information Technology (100%), Product Development (88%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used GlassFish
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.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
