GlassFish Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used GlassFish
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Sabahattin Kunas
Last position:
Sole responsibility (concept, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and working. Backend Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, Testcontainers integration tests. Running in my own AWS account (ECS Fargate, ALB, ECR, IAM least privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development throughout AI-assisted with Claude Code, including my own skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Kiriakos Krastillis
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
maturing their API Practices on both, a Business and Technology level. My role encompasses strategy, architecture, developer advocacy as well as hands on software engineering, enabling both technical teams and business leadership to adopt and act on API- centric principles effectively. Coincidentally, we also establish GitOps, DX and Platform Best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, react, nodejs, typescript, redocly, reactive programming, CDC, golang, gingonic, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
Santhosh Kannan
Last position:
Freelance Software Engineer at Zalando SE
- Support Authorization as a Service initiative for enterprise-scale authorization platform
- Incorporate comprehensive observability solutions into authorization infrastructure
- Provision and manage AWS infrastructure for authorization services
- Mentor development team on AWS and Kubernetes best practices
- Tech Stack: Java/Kotlin, Golang, Python, OPA, Spring Boot, AWS, Kubernetes, Terraform, ELK Stack, Prometheus, Grafana
Ronald Mazelisz
Last position:
DevOps Consultant at M.it services & systems GmbH
- Adjusting, optimizing, configuring, and administering a multi-stage GitLab instance with over 250 users
- Building, adjusting, expanding, and optimizing infrastructure, configuration, and monitoring
- Providing services and handing them over to production
- System environment: DependencyTrack, GitLab, Grafana, Hedgedoc, Kubernetes, OAuth2 Proxy, Openstack, Prometheus, Syseleven
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.
Stephan Heilmann
Last position:
Development, Tester at Telecommunications
Set up an operational contract information system. This is mainly used as an order management system - for migrating existing contracts as well as for creating and providing new contract bundles.
Sales agents can use it to order new services, modify existing ones and migrate service types, as well as provide price information to the customer.
This supports the marketing of new services as well as the replacement of old services for existing customers.
In addition, existing data is imported, processed (ETL) and provided via services for further use in the portal front end.
Analysis of the business and technical use cases (workflows, involved processes/systems, communication paths, security requirements)
Further development / creation of the front-end components (React/JavaScript)
Design and implementation of the business logic
Creation of the functional and technical component documentation
Test execution / test automation (Cypress, test coverage)
Team size: 8 people
Technologies: React, JavaScript, Rest (JSon), Yaml, Markdown, MariaDB (SQL), Docker, Swagger, Cypress
Tools: Webstorm, ReactDeveloperTools, VisualStudioCode, Word, DBeaver, Git/GitLab
Work management: GitLab
Platform: Linux
Build management: GitLab
Vitaliy Ryumshyn
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.
Will Orrantia
Last position:
Solution Architect at Stuttgart Police Authority
Designing the migration strategy for WLS applications to the BKA cloud and Stack IT
Creating a hybrid cloud for internal testing and development with Kubernetes
Transforming the IT landscape from a legacy monolithic architecture to a cloud-based architecture
Integrating new CI/CD processes using Azure Pipelines
Quadrupled the throughput of personnel security checks
Migrated personnel security clearance applications to Docker-based applications
Built CI/deploy pipelines with Azure DevOps
Environment: Java Spring Boot, Kubernetes, Oracle WebLogic, OpenID, Camunda, JUnit, TOGAF
Manish Kumar Jaiswal
Last position:
Freelance Senior Solutions Architect at YoungIT
- Worked with a UK based organisation offering a range of free sexual health services such as STI testing, treatment and contraception across the UK
- Created a Liferay DXP based customer facing portal (version 7.4) over Liferay Experience Cloud
- Designed and developed Liferay modules
- Managed Liferay Experience Cloud and release management
- Coordinated with different teams and helped other team members on Liferay challenges
- Engaged in discussions with business and stakeholders on expectations
- Implemented architectural best practices
Felix Schmitt
Last position:
System Consultant / Consultant at Freelance work
- Projects in the area of Identity and Access Management, Single Sign-On, and LDAP directories
- Development of Java modules
- Development and administration of Java/J2EE-based applications on different application servers
- Administration of Unix systems (Linux, Solaris, AIX) and applications
- Migration of systems
Celso Kurrle
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 Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Werner Anderschitz
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 Himabindu
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
Discover over 15,000 top freelancers
Statistics of experts using GlassFish
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2.2 years
Positions per freelancer
17
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
93%
Master's degree or higher
55%
Doctorate
10%
Certifications per freelancer
4
Most common languages
English, German, Spanish
Speak two or more languages
100%
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 Germany 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 Germany 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Runtime and scope
GlassFish is a Java application server for running Jakarta EE and older Java EE applications. Teams use it for web apps, service layers, and enterprise systems that need a standards-based runtime. It is a fit when you need clean deployment control, Java APIs, and stable server administration.
Where it fits
- Hosting WAR and EAR deployments
- Running REST services and business logic
- Supporting integration-heavy enterprise apps
- Testing against a Jakarta EE compatible server
It often appears in systems that grew around Java EE and now need careful maintenance or migration planning.
Tooling and ecosystem
GlassFish work usually touches Maven, Gradle, JDBC, JPA, JMS, CDI, JSF, and REST endpoints. Strong specialists understand domains, resources, datasources, security realms, and logging configuration. They also know where GlassFish differs from Payara or other Jakarta EE servers.
When companies bring in experts
Companies look for freelance expertise when deployments fail, startup times are slow, or an older server setup needs to be cleaned up. This is common during upgrades, container moves, or when a Java EE system must keep running while the codebase changes. In Germany, this often suits teams that need focused help without adding permanent headcount.
What strong specialists do
They read server logs fast, isolate classpath and dependency issues, and keep configuration reproducible. They can review descriptors, fix transaction or datasource problems, and document deployment steps clearly. Good experts also know when a GlassFish-specific fix is right and when the better move is to redesign the service.
Signs you need help
- Applications deploy on one environment but fail on another
- The server starts, but services break under real traffic
- Migrations from Oracle GlassFish Server or older Java EE stacks are blocked
- The team needs someone who understands application server operations, not just code
Freelance GlassFish specialists are often strongest when they combine Java application knowledge with production support discipline.
Frequently asked questions
Quick answers to the questions that come up most around GlassFish.
GlassFish is used to run Jakarta EE and legacy Java EE applications that need a full application server. Companies bring it in for web applications, REST services, integration layers, and internal business systems. It is especially relevant when the runtime, not just the code, must be managed carefully.
GlassFish is a standards-based Jakarta EE server, while Tomcat is a lighter servlet container with a smaller feature set. Payara is often chosen when teams want a supported distribution built from the same GlassFish roots. A strong specialist should explain which platform fits the application, the operating model, and the upgrade path.
A good GlassFish specialist usually knows core Java, Jakarta EE APIs, Maven or Gradle, and server-side troubleshooting. Skills in JPA, JDBC, JMS, REST, authentication, and logging are common too. For production work, Linux, shell tools, and deployment automation are very useful.
A GlassFish project can need only targeted help if the task is a single deployment or configuration fix. Larger work, such as migration, performance tuning, or legacy cleanup, benefits from someone who has handled application servers in production before. The right level depends on how risky the runtime is and how much of the stack is already understood.
Yes, most GlassFish work can be done remotely if the team can share logs, configs, and access to non-production environments. On-site help is mainly useful when local infrastructure, internal networks, or release coordination make remote diagnosis harder. For many teams in Germany, a mix of remote support and occasional on-site sessions works well.
Ask whether the person has worked with GlassFish in production, not only in local tests. Then check their experience with deployments, security, datasources, clustering, and migration from older Java EE setups. You want clear answers about the exact version, the app type, and the likely risks.
Quality in GlassFish work means repeatable deployments, clear server configuration, and fixes that survive restart and upgrade cycles. Strong specialists document what changed, why it changed, and how to verify it. They also leave the system easier to operate, not just working for the next release.
For many new builds, GlassFish is chosen less often than lighter runtimes or managed platform options. It still makes sense when a project needs Jakarta EE compatibility, application server services, or alignment with an existing Java estate. A good specialist should be able to tell you whether keeping it is practical or whether a move would reduce future work.
The average hourly rate of freelancers in Germany who have used GlassFish in their recent projects is 91 €, which corresponds to a daily rate of about 730 € based on an 8-hour working day.
Of the freelancers in Germany who have used GlassFish in their recent projects, 93% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used GlassFish in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Germany who have used GlassFish in their recent projects are English (100%), German (97%), and Spanish (10%).
The most common industries among freelancers in Germany who have used GlassFish in their recent projects are Information Technology (100%), Banking and Finance (64%), and Automotive (56%).
The most common business areas among freelancers in Germany who have used GlassFish in their recent projects are Information Technology (100%), Product Development (95%), and Quality Assurance (74%).
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
