TeamCity Experts in Germany
in minutes, matched from vetted, available freelancers with the power of AIHire experts who set up TeamCity build chains, manage Kotlin DSL and build configurations, and keep CI/CD pipelines stable across complex delivery flows. They support release automation, agent scaling, and integration with Git, Docker, and cloud tooling. Fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used TeamCity
Goran Popovic
Last position:
Test Manager & Analyst at Festo / Questax GmbH
Project goal: Carrying out system tests and validating industrial communication and control systems, including requirements definition and verification.
Responsibilities:
- Test planning, test execution
- Test strategy, test cases, and test specifications
- Requirements analysis
- Ensuring traceability between requirements, test cases, and defects
- Carrying out regression and integration tests
- Defect analysis
- Simulation and validation
- NetSniffer Wireshark
- Supporting test automation (Python, CI/CD)
- Reporting
- Stakeholder coordination and agile collaboration (Scrum / SAFe / Kanban)
- V-Model
- CI/CD automation with Python, Groovy, and frameworks (Selenium, PyTest)
Technologies:: CAN, Modbus, Ethernet, PLC, PROFINET, Codebeamer ALM, Scrum, SAFe, MS Teams, Git, CI/CD with GitLab CI and TeamCity, Windows Batch, FAS, Wireshark, Python, Enterprise Architect (EA), AI tools (e.g. ChatGPT, Microsoft Copilot), VS Code, Tia Portal, SCL, Python (Selenium, PyTest)
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.
Yusuf Congar
Last position:
Senior Software Engineer at LeiKon GmbH
- Development of scalable backend applications with C#/.NET and Java
- Design and implementation of distributed microservice architectures
- Development and integration of REST APIs for industrial applications
- Development of modern web applications with React, Angular, and TypeScript
- Implementation of MQTT-based communication solutions
- Integration of industrial protocols such as OPC UA and Modbus TCP
- Development of batch, process control, and HMI components
- Containerization and deployment of applications with Docker
- Conducting code reviews and supporting architecture decisions
- Close collaboration with product owners, QA, and interdisciplinary teams
- Analysis of business requirements and implementation of technical solutions
- Further development of existing software architectures with a focus on maintainability and performance
Technologies: C#, .NET, ASP.NET Core, Java, C++, React, Angular, TypeScript, Vue.JS, MQTT, OPC UA, Modbus TCP, Docker, GitLab, MariaDB, MySQL, Linux
Oliver Fries
Last position:
Modernization of a multi-company backend system at Energy utility company
Enhancement and modernization of a mature Aspire backend application in the environment of a utility company, focusing on new business requirements, testing, legacy code cleanup, and stable backend delivery.
Core contributions & results Implemented new business requirements in the context of customer orders, subcontractors, and cross-company backend processes, and ensured consistent workflows in a distributed system landscape. Modernized existing backend components step by step and reduced technical debt through targeted legacy code cleanup, refactoring, and structured code reviews. Improved the testability of business-critical services by expanding automated tests with xUnit, AutoFixture, and clearer validation structures. Supported the further development of workflow automations and integration processes via microservices, messaging, and API-based communication. Took over source code from external firms, systematically checked code quality, and derived technical improvements for maintainability, stability, and integration. Worked in agile development processes with Jira, Confluence, and Azure DevOps and supported cross-team alignment on architecture, quality, and implementation. Technical metrics Technologies & methods C#, .NET, ASP.NET, ASP.NET Core, Aspire, Docker, RabbitMQ, gRPC, REST API, Swagger, Microservices, NServiceBus, AutoMapper, Autofac, xUnit, AutoFixture, FluentValidation, Entity Framework Core, MediatR, Redis, Consul, Serilog, SonarQube, Azure DevOps, Azure Monitor, GitLab, Google Protocol Buffers, IronPDF, Mailjet, Jira, Confluence, Miro, agile development, Scrum, code reviews, refactoring, legacy code cleanup, workflow automation, power grids
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.
Aruldass Arulanandu
Last position:
Web Module Lead at Mphasis Limited
- Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.
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
Stephan Giuliari
Last position:
Senior Backend Software Developer at Mercedes-Benz Tech Innovations
- Further development and operation of a central backend service providing vehicle inventory for international Mercedes-Benz online stores
- Enhancement of a vehicle reservation service as part of the checkout process
- Design and implementation of a highly scalable end-to-end test architecture focused on maintainability, reusability, and a high number of automated test cases
- Development of a multi-layered test infrastructure with a clear separation of test logic and access layers
- Development of an initialization and caching architecture to significantly speed up local and CI/CD-based test runs
- Development of an AI-driven review architecture for automated evaluation and quality assurance of end-to-end tests
- Development of a dashboard to consolidate vehicle context across multiple backend systems, including AI-generated summaries and condensed case analyses
- Integration and further development of connections to various reservation systems via Apache Kafka and REST
- Design of new microservices and support in architectural decisions
- Risk analysis and planning of microservice migrations
- Technologies: Java, Spring, Spring Boot, Gradle, Maven, Apache Kafka, REST, OpenAPI, Swagger, GitHub, Confluence, CI/CD, Microservices, AI, LLMs
Srinivasu Kakaraparti
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Hendrik Wagner
Last position:
Software Test and Maintenance Support at Anton Paar ProveTec GmbH
- Add/create test specifications
- Conduct regression tests
- Conduct release tests
- Analyze Jira tickets
- Identify software defects and fix them with C#
Rashmi Kondli
Last position:
Service Lifecycle Manager at Vodafone Group Services GmbH
Ensured 99%+ platform availability across Android, iOS, and web, maintaining zero customer-impact and zero P1 incidents through proactive monitoring and risk mitigation.
Led Incident, Problem, and Change Management with offshore operations and vendors, driving rapid issue resolution and improving product stability.
Partnered with QA teams and international OpCos to validate defects, reproduce issues, and enhance product quality using real-time customer insights.
Managed end-to-end lifecycle activities including platform migrations, infrastructure upgrades, certificate renewals, and integrations (Identity, API, Messaging).
Established operational excellence and governance by designing service support models, leading Early Life Support (ELS) and post-launch stabilization, delivering KPI reporting, and ensuring seamless transition from project to service management.
Product: Secure Net - Classic, Converged & Home Wifi Protect
Product Description: The all-in-one digital security service that helps keep you and your family safe online when using the Vodafone (Mobile and Broadband) network. Get alerts if your personal information shows up anywhere it shouldn't, whilst we find and block malicious content across all your devices using.
Clients: Vodafone OpCos - Spain, Italy, UK, Ireland, Greece, Turkey, Germany, Portugal, Romania
Role & Location: Service Manager for Lifecycle and Operations at Düsseldorf, Germany
Worked with/on: ITSM Remedy, Jira, Confluence, Splunk, Dynatrace, Tableau, Mongo DB, Google Analytics, App Follow
Alexander Schwartz
Last position:
Founder and Full-Stack Developer at TrumpPostAlert.com
- Feasibility study for quick implementation of requirements with AI-based development (vibe coding)
- Development of a single-page web app in Angular 20
- Development of a backend server application in Kotlin
- Integration with Google Cloud Platform (Firebase): authentication, Firestore NoSQL database, storage, Cloud Functions, hosting and Cloud Run
- Integration with a NEON PostgreSQL database
- Automated AI-based analysis of Donald Trump's posts on Truth Social and analysis of relevance for stock markets and geopolitical topics
- CI/CD via GitHub Actions using Docker and Google Cloud Run
- Technical environment: Angular 20 (Angular Material, RxJS), Kotlin 2.2.20, TypeScript 5.9.3, Spring Boot 3.5.6, Google Cloud Platform (Firebase, Cloud Run, Gemini, Vertex AI), ChatGPT Codex, Git, GitHub, SourceTree, IntelliJ WebStorm, IntelliJ IDEA
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.
Sascha Seewald
Last position:
Entrepreneur at novael.de
- Focus areas: application development, IT security, project management, conceptual design, online/offline marketing, print, startup phase, SMEs
- Hosting (until end of 2015), monitoring, IT infrastructure, cloud solutions
- Frameworks and tools: Scrum, Kanban, OKR, agile patterns, .NET Core, node.js, Angular, React/JSX, PHP OOP, C#, JavaScript, TypeScript, Python, Ruby, MySQL, MS SQL, Postgres, MongoDB, AWS, Docker, Kubernetes, Jenkins, GitLab CI, Terraform
Frank Bergmann
Last position:
System Engineer at Frequentis Comsoft
- Migrate company software to RHEL10
- Development in Bash, Python, C, Ansible
Discover over 15,000 top freelancers
Statistics of experts using TeamCity
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
3 years
Positions per freelancer
15
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
98%
Master's degree or higher
57%
Doctorate
5%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
96%
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 TeamCity
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
CI server
TeamCity is a continuous integration and delivery server from JetBrains. Companies use it to run builds, tests, and release steps in a controlled pipeline. It fits teams that need reliable automation across many repositories, branches, and environments.
What it does
- Automates build and test workflows
- Triggers pipelines from Git events and schedules
- Orchestrates packaging and release steps
- Tracks build status, logs, and artifacts
- Supports Kotlin DSL for repeatable setup
Ecosystem
TeamCity works with common source control systems, Docker, Maven, Gradle, NuGet, npm, and cloud runners. Strong specialists also understand build agents, permissions, artifacts, notifications, and integration with issue trackers. That mix matters when pipelines must stay stable while the codebase changes fast.
When companies bring help
Teams usually look for freelance expertise when a pipeline needs a redesign, a migration from another CI server, or help with flaky builds and slow agents. In Germany, this often comes up in software product companies, industrial IT, and internal platform teams that want clean release automation without long hiring cycles.
What strong specialists deliver
A good TeamCity specialist does more than click through settings. They document the pipeline, use versioned configuration, and keep build logic easy to review. They also know how to spot agent bottlenecks, reduce build noise, and make failures easier to debug.
Skills that matter
- Kotlin DSL and reusable build templates
- Git-based workflows and branch-specific rules
- Artifact handling and dependency chains
- Dockerized builds and self-hosted agents
- Monitoring, alerts, and access control
Frequently asked questions
Everything clients usually want to know about TeamCity, in one place.
TeamCity is used to automate build, test, and release workflows for software delivery. It helps teams turn source code changes into checked, repeatable pipeline steps with clear logs and artifacts. That makes it useful for product releases, internal tools, and shared platform work.
TeamCity overlaps with Jenkins and GitHub Actions, but it is often chosen for structured pipeline management and strong support for versioned configuration through Kotlin DSL. Compared with Jenkins, many teams like the tighter built-in workflow and cleaner setup. Compared with GitHub Actions, it is often used when teams want deeper control over build agents and complex delivery chains.
A strong TeamCity freelancer usually also knows Git workflows, build tools such as Maven or Gradle, Docker, and release automation. Experience with artifacts, test reporting, branching strategies, and cloud or on-prem infrastructure is also valuable. If the pipeline touches security or deployment, Kubernetes, artifact repositories, and secret handling can matter too.
A simple TeamCity setup may only need a specialist who can maintain existing build steps and fix clear issues. A migration, a multi-agent build farm, or a Kotlin DSL refactor needs deeper experience. The more branches, dependencies, and release paths you have, the more you benefit from someone who has already done similar work.
Yes, TeamCity work is often remote-friendly because most tasks happen in configuration, source control, and pipeline debugging. For teams in Germany, remote specialists can usually handle the full setup if they have access to the repository, build environment, and deployment context. On-site time is only needed when hardware, network, or compliance constraints require it.
Look for someone who explains pipeline design clearly and can point to specific build problems they solved in TeamCity. Good signs are versioned configuration, clean agent usage, stable tests, and thoughtful handling of artifacts and failures. A weak profile talks only about installing the server, not about maintaining reliable delivery.
Typical TeamCity work includes new pipeline setup, migration from another CI system, build optimization, flaky test cleanup, and agent maintenance. It also comes up in release automation, monorepo workflows, and teams that need consistent packaging across several environments. JetBrains TeamCity is especially common when the build logic needs to stay readable and version-controlled.
Before starting a TeamCity project, gather the repository structure, build commands, branch rules, and the current pain points in the pipeline. It also helps to share the target runtime, deployment flow, and any constraints around access, secrets, or infrastructure. With that context, a specialist can move faster and avoid guesswork.
The average hourly rate of freelancers in Germany who have used TeamCity in their recent projects is 93 €, which corresponds to a daily rate of about 748 € based on an 8-hour working day.
Of the freelancers in Germany who have used TeamCity in their recent projects, 98% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Germany who have used TeamCity in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Germany who have used TeamCity in their recent projects are German (98%), English (98%), and French (11%).
The most common industries among freelancers in Germany who have used TeamCity in their recent projects are Information Technology (95%), Banking and Finance (56%), and Automotive (44%).
The most common business areas among freelancers in Germany who have used TeamCity in their recent projects are Information Technology (100%), Product Development (96%), and Quality Assurance (65%).
Main locations of FRATCH Experts, who have recently used TeamCity
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.
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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