Kotlin Experts in Munich
matched in minutes from over 15,000 CVsHire experts who build Android applications, Kotlin backends with Spring Boot or Ktor, and multiplatform products with shared business logic. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Munich, who have recently used Kotlin
Tamás E.
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Damian Ś.
Last position:
CTO at FRATCH.IO
- Managed end-to-end product development, overseeing the successful delivery of technical solutions.
- Led and mentored a team of highly specialised technical professionals, fostering a culture of collaboration and innovation.
- Oversaw the hiring process to build a talented and dedicated team.
- Built a scalable and robust backend microservices system from scratch, designing and extending it to meet evolving business needs.
- Ensured the system's high availability with a 99.99% up time, implementing resilient architecture and monitoring mechanisms.
- Developed and implemented technical strategies, aligning them with business goals and objectives.
Srinivasu K.
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
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Serge K.
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Andreas A.
Last position:
AI Consultant & Digital Architect at TeamIntel
- Governed multi-agent orchestration for regulated, EU-based companies – self-hostable, compliant with the EU AI Act and GDPR („by design“), BYOM (own models/GPU).
- Two-gate governance: agent deliberation + mandatory human approval, full signed audit trail; graduated autonomy model („internal → autonomous per skill“).
- Verified knowledge graph („Company Brain“) with source evidence for every answer; own orchestration framework (Virtual Team Framework).
- Industry solutions for financial services: compliance monitoring, invoice and contract review; hands-on development with LLMs (including Anthropic/Claude), agentic workflows, RAG.
- Building the governance-focused multi-agent platform TeamIntel (see AI reference projects).
Eli R.
Last position:
Technical co-founder at AskTheLaws
- Create an AI legal assistant with modern ML capabilities.
- Implement RAG architecture, with data pipelines for legal data search.
- Use AWS Bedrock for LLM and embedding models and LangChain/LangGraph
- Python with FastApi for backend and React for frontend
Heidi A.
Last position:
Venture Developer in Product Design at TUM Venture Labs
- Taught German language and mathematics to children aged 4-16, providing homework assistance and tutoring
- Supported startups in UX, MVP development, and Lean Startup methodology
- Assisted with branding, communication, and design to strengthen market presence
- Maintained website and Venture Lab app; coordinated and ran events
- Developed presentations to support internal and external communications
Martin P.
Last position:
Business Analyst and Test Manager at ProSiebenSat.1 Tech & Services GmbH
- Analysis of affected business processes taking numerous stakeholders into account
- Interface analysis, architecture and system design
- Communicating and coordinating various subprojects and interface partners
- Creating epics and user stories, maintaining the backlog, workshops and review presentations
- Support during implementation between business departments and development
- Test management including strategy and approach definition
- Test case definition, execution and approval
- Cross-team organization of integration and acceptance tests
- Support of test environments
- Technologies and tools: Java, Angular, Kubectl, REST, AWS SNS/SQS, Kafka, S4/HANA, Bruno
Enis S.
Last position:
Software Developer at 50Hertz Transmission GmbH
- Participated in the gradual modernization of components into cloud-native 12-factor applications.
- Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
- Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
- Migrated several components into the OpenShift Kubernetes cluster.
- Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
- Developed dashboards in both Grafana and Splunk for operational transparency.
- Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
- Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.
Anton K.
Last position:
Head of Overall Technical Integration NSC / Hadoop Cloud Development at IABG
Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).
Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.
Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management lifecycle.
Kubernetes, OpenStack and Hadoop are used as the foundation.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.
Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.
Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, DB.
Technologies: Kubernetes (K3s, Rke2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3S), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Sebastian K.
Last position:
Senior Lead Developer, System Architecture at AVL DITEST
- Redesign of a legacy Windows app for vehicle diagnostics as an AWS cloud application
- Creating build pipelines and conducting code reviews using Kotlin, Spring Boot, Micronaut, Jenkins, and GitHub
Cristian S.
Last position:
Team Lead Mobile Native Apps at Check24 GmbH
- Built and managed a high-performing native app team (Android & iOS) from scratch
- Modernized the finance application with new features, leveraging Kotlin, Java, and Spring Boot microservices
- Introduced and scaled backend services enabling secure, high-traffic financial transactions for millions of users
- Improved development efficiency with custom tools for crash reporting, CI/CD pipelines, and release management
- Led recruitment, coaching, and mentoring of developers, fostering professional growth and cross-functional collaboration
Alexander S.
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
M Samy H.
Last position:
Android Developer at Check24 GmbH
- Developed and maintained the large-scale Check24 car insurance native Android app serving millions of users using Jetpack Compose.
- Owned the end-to-end implementation of new features, including planning, development, and delivery in an Agile/Scrum environment.
- Refactored legacy Java code into a modern Compose architecture, improving maintainability and long-term scalability.
- Performed code reviews for team members via Bitbucket, ensuring code quality, architectural consistency, and Kotlin best practices.
Discover over 15,000 top freelancers
Statistics of experts using Kotlin
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 17 years)
Position duration
2.1 years (Germany: 2.7 years)
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
96% (Germany: 93%)
Master's degree or higher
87% (Germany: 56%)
Doctorate
22% (Germany: 9%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 98%)
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 Kotlin
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.
Kotlin 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 (96%)
- Banking and Finance (74%)
- Automotive (59%)
- Retail (44%)
- Media and Entertainment (37%)
- Telecommunication (37%)
- Insurance (33%)
- Manufacturing (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Kotlin at a glance
Kotlin is a statically typed language from JetBrains for the JVM, Android, server applications and multiplatform software. It combines concise syntax with null safety, extension functions and strong interoperability with Java. Teams use it to create maintainable products without abandoning established Java libraries or runtime environments.
Where Kotlin fits
Kotlin supports Android apps, backend services, command-line tools and shared code across mobile and web projects. Kotlin Multiplatform can centralize domain logic while keeping platform-specific user interfaces where needed. In Munich, companies across mobility, finance, manufacturing and digital services may use it where reliable applications and modern JVM integration matter.
- Android applications with Jetpack and Compose
- APIs and services with Spring Boot or Ktor
- Shared mobile logic with Kotlin Multiplatform
- Data pipelines, automation and internal tools
Ecosystem and tooling
Kotlin professionals work with Gradle, IntelliJ IDEA, Android Studio and the Kotlin compiler. Common libraries include kotlinx.coroutines, kotlinx.serialization and Jetpack Compose. Backend work often connects Kotlin with Spring, Ktor, relational databases, Kafka, Docker and cloud delivery pipelines.
When expertise helps
Companies bring in freelance Kotlin expertise when an Android product needs a stable release path, a Java service is being modernized, or a team is evaluating a shared mobile codebase. Specialists can also establish project structure, improve test coverage, resolve coroutine issues or prepare a migration from Java. They can work remotely or collaborate on site in Munich, depending on security and product needs.
What strong specialists deliver
Strong Kotlin professionals understand language features as well as the systems around them. They choose between coroutines, reactive patterns and straightforward concurrency based on the problem, not fashion. Their deliverables may include modular application code, API contracts, automated tests, architecture decisions, build configuration and clear documentation.
Assessing Kotlin capability
Review production examples that resemble the intended product rather than focusing only on syntax exercises. Ask how the specialist handles nullability, structured concurrency, dependency boundaries, API compatibility and observability. For Android work, discuss Compose, lifecycle management and offline behavior; for backend work, examine persistence, security, deployment and Java interoperability.
A practical review should include a small design discussion or code sample. Look for readable naming, focused tests and decisions that fit the existing team. In Munich, clarify the expected language for workshops and documentation, along with the balance between remote delivery and on-site collaboration.
Frequently asked questions
Need clarity? These are the questions we hear most often about Kotlin.
Kotlin is widely used for Android applications, JVM backend services, command-line tools and shared code in multiplatform products. It is also suitable for internal automation and data-focused services when teams want Java ecosystem access with more concise syntax and built-in null-safety support.
Kotlin runs on the JVM and interoperates closely with Java, so teams can reuse many existing libraries and services. It usually requires less boilerplate and offers features such as null-safety and coroutines, while Java may be preferred when a team needs maximum familiarity or has a deeply established Java codebase.
A strong Kotlin freelancer should understand the target environment as well as the language. Relevant skills can include Android and Jetpack Compose, Spring Boot or Ktor, Gradle, SQL, REST or event-driven APIs, testing, Docker and cloud deployment.
The right level depends on the product risk and scope rather than a fixed duration of experience. A small feature may need solid Kotlin and testing skills, while a migration, multiplatform strategy or high-traffic backend benefits from someone who has handled architecture, performance, releases and Java interoperability in production.
Kotlin work is often well suited to remote collaboration because code, reviews, builds and tests can be shared through standard development tools. For projects in Munich, agree early on working hours, workshop expectations, German or English documentation, access controls and any occasions that require on-site presence.
Kotlin Multiplatform can be useful when mobile products need shared domain logic, networking or data handling while preserving native platform interfaces. It is less suitable when the applications have little shared behavior or when a team cannot support the additional build, testing and platform coordination involved.
Ask the Kotlin specialist to explain decisions from a comparable production system, including module boundaries, coroutine usage, error handling, tests and release practices. A short review of code or architecture is more revealing than syntax trivia, especially when the discussion covers maintainability and integration with existing Java or Android components.
Before starting with Kotlin, clarify the runtime target, existing Java dependencies, build system, supported platforms, delivery pipeline and definition of done. The freelancer should also confirm how the team handles code review, automated testing, observability, documentation and ownership of architectural decisions.
The average hourly rate of freelancers in Munich, Germany who have used Kotlin 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 Munich, Germany who have used Kotlin in their recent projects, 96% hold at least a Bachelor's degree, 87% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Munich, Germany who have used Kotlin in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Munich, Germany who have used Kotlin in their recent projects are German (100%), English (96%), and Russian (26%).
The most common industries among freelancers in Munich, Germany who have used Kotlin in their recent projects are Information Technology (96%), Banking and Finance (74%), and Automotive (59%).
The most common business areas among freelancers in Munich, Germany who have used Kotlin in their recent projects are Information Technology (100%), Product Development (96%), and Research and Development (48%).
Main locations of FRATCH Experts, who have recently used Kotlin
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 
Berlin 
Hamburg 
Cologne 
Frankfurt 
Dusseldorf Countries:
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