
Gin Experts in Germany
, matched in minutes from over 15,000 CVsHire experts who deliver Gin REST APIs, middleware, authentication flows and high-performance Go services. FRATCH uses precise AI matching to connect you with vetted, available freelancers quickly.
Meet FRATCH Experts in Germany, who have recently used Gin
Kiriakos K.
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
Maturing their API practices on both a business and technology level. My role covers 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, Node.js, TypeScript, Redocly, reactive programming, CDC, Golang, Gin, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
Qaiser A.
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Natdanai P.
Last position:
Software Developer for SiC-Mold Production Line at Vitesco Technologies Germany GmbH
- Developing software solutions based on technical requirements and existing systems
- Developing TLV commands for automated laser cleaning and laser power measurement
- Supporting and assisting production processes
- Performing software tests as well as analyzing and fixing errors
- Integrating and connecting MES systems
- Using C# and Structured Text (ST according to IEC 61131-3)
- Using TwinCAT 3.1 as the development environment
- Implementing visualizations with Windows Forms
- Working with Beckhoff CX controllers and Stäubli industrial robots
- Using Ethernet and EtherCAT networks
- Integrating TRUMPF TruMark 3330 and 7050 laser systems
- Using a KEYENCE vision system
- Version control with Git and GitLab
Wolfram R.
Last position:
Backend and Flutter App Developer at WWU Münster
- Further development of the existing citizen science app with Flutter for Android and iOS to integrate new features.
- Updated the backend, including database migration.
- Used Android, iOS, Flutter, Dart, Riverpod, Drift (migration from moor), flutter_local_notifications, home_widget, flutter_markdown, and flutter_workmanager.
- Backend development with Spring Boot, Kotlin, Kotlin Flow, GraalVM, PostgreSQL, and Docker.
- Used Firebase App Testing, Testflight, as well as Google Play Console and App Store upload.
Satya V.
Last position:
Lead Developer at Allane Mobility Group
- Led development activities for enterprise applications, managing design, planning, and delivery to meet organizational goals.
- Constructed and deployed microservices using Java/JavaEE, Kotlin, Spring Boot, Kafka incorporating synchronous and asynchronous communication, achieving a 95% on-time delivery rate.
- Developed microservices in Golang utilizing frameworks such as Gin, GORM, and Viper for high-performance applications.
- Maintained RESTful and GraphQL APIs, enabling seamless integration with enterprise applications.
- Leveraged gRPC for secure, efficient service-to-service communication in microservices, reducing latency.
- Used SQL databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis).
- Integrated publisher-subscriber systems and message queue architectures (SQS, Kafka).
- Configured secure authentication and authorization systems (OAuth 2.0, OpenID Connect) using AWS Cognito and Spring Security.
- Architected scalable patterns like API Gateway, Circuit Breaker, Saga, CQRS, and Event Sourcing to enhance reliability and performance.
- Built middleware solutions integrating complex APIs and third-party services for seamless system interactions.
- Achieved cloud-native architectures with AWS services, including S3, EC2, Lambda, API Gateway, RDS, DynamoDB, SNS, SQS, EKS, ECR, and ECS.
- Delivered a centralized CI/CD pipeline, reducing deployment time by 80% through automation and standardization.
- Integrated observability tools such as Prometheus, Grafana, Datadog, and CloudWatch, improving monitoring and troubleshooting capabilities.
- Automated IaC provisioning with Terraform, ensuring consistent and scalable environments across development, testing, and production.
- Enhanced logging and visualization using the ELK stack (Elasticsearch, Logstash, Kibana).
- Optimized release processes, ensuring efficient and error-free deployments, resulting in a 30% reduction in production bugs.
- Lifted services to the cloud, transitioning legacy systems to a cloud environment to improve scalability and performance.
- Automated infrastructure tasks with Python, streamlining workflows such as S3 file uploads and SQS event handling.
- Crafted Python scripts to test AWS services locally using LocalStack, achieving 98% accuracy.
- Designed and architected large-scale, scalable enterprise applications, performing end-to-end, unit, and integration testing, reducing production bugs by 25%.
- Designed and developed web applications using Angular, HTML, CSS, and JavaScript.
- Integrated advanced security measures into the DevSecOps pipeline, including SAST with SonarQube, DAST using OWASP ZAP, vulnerability scanning with Snyk, container image scanning via Trivy.
- Mentored 5+ junior developers in Java, Kotlin, and microservices, boosting team productivity by 20% within six months.
- Facilitated workshops on modern architecture, DevOps, and cloud integration practices, enhancing team proficiency.
Michal B.
Last position:
Senior Golang Engineer at STACKIT / Schwarz Gruppe
- Responsible for software engineering and DevOps in the Data & AI Platform - Intake and PubSub projects at STACKIT, the cloud provider of the Schwarz Group.
- Technologies: Golang, Kubernetes, Kubernetes operators, OpenAPI v3, REST API, Azure DevOps, CI/CD, k6, Kafka, Strimzi, Apache Iceberg, RBAC, IAM, Terraform, Helm, Infrastructure automation, Load balancing, Traefik, ArgoCD, kuttl, Kyverno chainsaw, Kustomize, Velero, Prometheus, Grafana, Checkly / Playwright (TypeScript), NATS/Jetstream, WebSockets, gRPC, SSE
Sebastián K.
Last position:
Smart Charging at Mercedes-Benz, MBTI
Agile software development in an interdisciplinary environment
Cross-team collaboration to achieve important milestones
Independently developing new and improving existing features
Estimation, refinement, implementation, and presentation
Finding solution ideas, analyzing problems, rolling out bug fixes
Writing automated tests, manual testing, log and error analysis
Ensuring high availability, fault tolerance, and scalability of the production environment
Rolling out releases and multi-stage infrastructure
Setting up alerts and monitoring
Pair programming, code reviews, documentation
On-call duty, 3rd level support
Event-Driven Architecture, Clean Code, Hexagonal Architecture
Microservices based on Go (Gin), Java 21 (Spring Boot 3), Python (FastAPI)
Terraform/OpenTofu, KQL, SQL, JSON, REST, Helm, ArgoCD, AzureCLI, K9s, OAuth2
Postgres, Redis, Kafka, Azure EventHub, Kubernetes, nginx, Ingress
AppInsights, LogAnalytics, OpenTelemetry, Datadog, OpenAPI 3, Swagger
Azure DataExplorer, Storage, KeyVault, Container Registry, Azure Functions,…
Junit5/Jupiter, testify, RestAssured, Docker Compose, Wiremock
IntelliJ, Scrum, Kanban, Teams, Confluence, OpsGenie, Arc42
GitHub CI/CD, GitLab CI/CD, Azure DevOps
EV charging protocols (EVSE, OCPP, V1G, V2G)
Konstantin K.
Last position:
.NET Senior Full-stack Software Developer at DINA Elektronik GmbH
- Tech-Stack: C#, XAML, WPF, MongoDB, Azure Cloud, Azure DevOps, Resharper, Rider, OAuth2.0, REST, XUnit, NSubstitute, FluentAssertions
- Designed and implemented the IO architecture for improved data flow and efficiency.
- Developed a new desktop application from scratch, improving user experience and functionality.
- Led the implementation of daily stand-ups, software refinements, retrospectives, and project planning.
- Wrote unit and integration tests to ensure code quality and stability.
- Conducted code reviews and mentored junior developers.
- Played a key role in the company's digitalization efforts.
- Managed a team of 4 software developers, providing leadership and direction.
Discover over 15,000 top freelancers
Statistics of experts using Gin
Aggregated from the professional profiles of matched freelancers.
Experience
18 years

Position duration
1.5 years

Positions per freelancer
18

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Automotive, Banking and Finance

Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
63%

Certifications per freelancer
3

Most common languages
German, English, Bulgarian

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 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 Gin
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.
Gin 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 (63%)
- Retail (63%)
- Education (50%)
- Media and Entertainment (50%)
- Manufacturing (38%)
- Agriculture (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Gin at a glance
Gin is a lightweight web framework for Go, built around a fast HTTP router and a clear middleware model. It helps teams create REST APIs, backend services and internal endpoints without the ceremony of larger frameworks. Gin Web Framework is also commonly associated with the Gin-Gonic project and the wider Go ecosystem.
Where Gin fits
Gin is suited to services that need predictable request handling, strong concurrency and simple deployment. Typical systems include:
- REST and JSON APIs for web and mobile products
- Authentication, authorization and session endpoints
- Microservices and internal platform services
- Webhooks, gateways and integration layers
- High-throughput data access services
Its small core leaves teams free to select the database, message broker and observability tools that match the system.
Ecosystem and tooling
Strong Gin specialists work comfortably with Go modules, net/http, context handling and idiomatic error management. They often connect Gin with PostgreSQL, MySQL, Redis, MongoDB or cloud-native service components. Testing with Go’s standard tools, OpenAPI documentation, structured logging, Docker and CI pipelines are important parts of a production setup.
When companies need help
Companies bring in freelance Gin expertise when an API needs a reliable foundation, an existing Go service requires modernization or an internal team needs support with delivery. Common signals include unclear route boundaries, repeated middleware logic, weak validation, missing tests or slow incident diagnosis. In Germany, Gin services may support industrial systems, logistics products, financial applications and digital business platforms, with remote collaboration often combined with German or English communication.
What quality looks like
A capable professional separates transport concerns from business logic and keeps handlers small, testable and easy to review. They understand routing groups, middleware order, binding and validation, graceful shutdown and context propagation rather than treating Gin as a collection of shortcuts. They also make security decisions explicit, including input validation, authentication, rate limiting, CORS and safe error responses.
Choosing the right specialist
Review work that shows complete service ownership, not only isolated route examples. Ask how the specialist would structure packages, handle versioned APIs, test failure paths and monitor latency in production. Useful adjacent skills include Go performance analysis, SQL, container deployment, Kubernetes, OAuth or JWT, distributed tracing and API design. The best fit can explain trade-offs clearly and adapt the framework to the service instead of forcing every problem into Gin.
Frequently asked questions
Everything clients usually want to know about Gin, in one place.
Gin is used to build HTTP services and REST APIs in Go. Companies use it for authentication services, microservices, webhooks, internal APIs and backend systems that need simple routing with efficient request handling.
Gin uses Go’s net/http foundation and offers a focused middleware and routing model. Echo and Fiber can provide different APIs and conveniences, so the right choice depends on existing Go skills, compatibility needs, performance targets and the surrounding ecosystem.
A strong Gin specialist usually brings solid Go, HTTP and API design knowledge. Database integration, Docker, Kubernetes, authentication, automated testing, observability and cloud deployment are valuable when the service must run reliably beyond local development.
A small Gin API can be handled by a professional who understands Go fundamentals, routing, validation and testing. Complex systems need deeper experience with concurrency, service boundaries, security, database behavior, deployment and production troubleshooting.
Gin projects are often suitable for remote work because the deliverables are code, API contracts, tests and deployment configuration. Agree on documentation, review practices, working hours and whether German or English is used for technical communication.
Ask a Gin professional to explain package structure, middleware order, error handling and test strategy. Review whether the service has clear contracts, secure input handling, useful logs, graceful shutdown and practical monitoring rather than judging only the speed of a demo endpoint.
Gin provides the request and middleware structure, while teams choose the authentication and validation components around it. A qualified specialist should be able to integrate OAuth or JWT, enforce authorization rules, validate payloads and return consistent, safe errors.
A Gin freelancer should clarify the Go version, API contract, persistence layer, deployment target and ownership of operational tasks. Understanding the existing middleware, test coverage, release process and service boundaries helps prevent surprises during implementation.
The average hourly rate of freelancers in Germany who have used Gin in their recent projects is 93 €, which corresponds to a daily rate of about 742 € based on an 8-hour working day.
Of the freelancers in Germany who have used Gin in their recent projects, 100% hold at least a Bachelor's degree and 63% hold at least a Master's degree.
On average, freelancers in Germany who have used Gin in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Germany who have used Gin in their recent projects are German (100%), English (100%), and Bulgarian (13%).
The most common industries among freelancers in Germany who have used Gin in their recent projects are Information Technology (100%), Automotive (63%), and Banking and Finance (63%).
The most common business areas among freelancers in Germany who have used Gin in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (63%).
Main locations of FRATCH Experts, who have recently used Gin
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.
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