GlassFish Experts in Munich
for reliable Jakarta EE systems, matched in minutes with vetted, available professionalsHire experts who deliver Jakarta EE applications, secure application server environments and production-ready deployments with GlassFish. FRATCH matches you quickly and precisely with vetted, available freelancers for remote or on-site work.
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
29 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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich 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 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 29 Oct 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 at a glance
GlassFish is an open-source application server for Jakarta EE, formerly known as Java EE. It provides the runtime for enterprise web applications, business services and APIs, handling components such as servlets, REST endpoints, persistence and messaging. Companies use it when they need a standards-based Java platform with a clear Jakarta EE reference implementation.
Applications and systems
GlassFish supports systems where reliable business processing and structured application services matter. Typical deliverables include:
- Jakarta EE web applications and REST services
- Enterprise portals, customer platforms and internal systems
- Persistence layers using JPA and relational databases
- Authentication, authorization and session management
- Integration with messaging, web services and external APIs
Ecosystem and tooling
Strong GlassFish specialists work across the server and the surrounding Java ecosystem. They configure domains, clusters, resources, JDBC connection pools and security realms, then connect applications with Maven or Gradle build workflows. Useful adjacent knowledge includes Jakarta EE APIs, CDI, JPA, JAX-RS, JMS, MicroProfile, Docker, Linux, reverse proxies and relational databases.
When expertise matters
Companies often bring in freelance specialists during a migration from Java EE to Jakarta EE, a server consolidation or a production deployment. Expertise is also useful when an existing GlassFish environment has slow startup, unstable resources, unclear configuration or difficult releases. In Munich, teams in manufacturing, insurance, public services and enterprise software may need collaboration that combines local availability with secure remote delivery.
GlassFish compared
GlassFish is often weighed against Payara, WildFly, Open Liberty and commercial application servers. The right choice depends on Jakarta EE compatibility, support expectations, operational tooling, existing application constraints and the target cloud or data-centre model. A specialist should explain these trade-offs rather than recommend a migration based on branding alone.
Signs of strong specialists
Quality is visible in disciplined delivery and clear technical decisions. Look for professionals who can:
- Map application requirements to Jakarta EE services
- Separate domain, resource and application configuration
- Diagnose logs, thread behaviour, memory use and connection pools
- Automate builds, deployments, backups and environment promotion
- Document security settings, recovery steps and operational ownership
They should also communicate limits early, test changes outside production and leave a maintainable GlassFish setup behind. Experience with German-speaking stakeholders can help on-site Munich engagements, while precise written communication supports remote teams.
Frequently asked questions
Not sure where to start with GlassFish? These answers cover the essentials.
GlassFish is used to run Jakarta EE applications such as enterprise web systems, REST services, portals and transactional business software. It supplies standard services for security, persistence, messaging, dependency injection and web components.
GlassFish is closely associated with the Jakarta EE reference implementation, while Payara builds on the GlassFish codebase with an operational and support focus. WildFly is another established Jakarta EE option with its own management model, so the choice should reflect compatibility, support, deployment targets and team experience.
A strong GlassFish specialist usually understands Jakarta EE APIs, Maven or Gradle, JPA, CDI, JAX-RS, JMS and relational databases. Docker, Linux, reverse proxies, observability, CI/CD and cloud deployment skills are also valuable when the server is part of a wider delivery pipeline.
The required depth depends on the work. A configuration adjustment may need focused server knowledge, while a migration, security redesign or production incident calls for someone who has operated GlassFish across development, testing and live environments.
Yes. GlassFish work is often suitable for remote collaboration when repositories, environments, logs and access procedures are organized. On-site sessions in Munich can still help with architecture workshops, incident response or coordination with teams that prefer German or English communication.
A company may bring in a GlassFish freelancer for a time-critical migration, a difficult production issue or a short-term gap in Jakarta EE expertise. A specialist can stabilize the environment, document decisions and transfer practical knowledge while the internal team retains ownership.
Ask how the professional would inspect domain configuration, resource pools, deployment workflows, security realms and logs before changing anything. Strong GlassFish professionals connect recommendations to application behaviour, test rollback paths and explain operational risks in clear terms.
GlassFish remains relevant when a team wants a recognizable Jakarta EE reference implementation or needs compatibility with an existing ecosystem. For new systems, compare it with Payara, WildFly and Open Liberty against support, release practices, container strategy and the capabilities the application actually requires.
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 29 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
