Gin Experts in Germany
matched in minutes by AIHire experts who deliver Gin APIs, middleware, authentication flows and production-ready Go services. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
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
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
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.
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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany 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 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 29 Oct 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
What Gin is
Gin is a lightweight HTTP web framework for Go. It provides routing, middleware, request binding, validation and JSON responses without hiding Go’s standard library. Teams use the Gin Web Framework to create focused APIs and high-throughput backend services.
What teams build
Gin fits services that need clear request handling and predictable performance.
- REST and JSON APIs for web and mobile products
- Internal services and microservice endpoints
- Authentication, authorization and webhook handlers
- Backend components for real-time and data-driven systems
Ecosystem and tooling
Strong Gin specialists work comfortably across the Go ecosystem. They use net/http, Go modules, context handling and structured error responses alongside Gin’s router and middleware model. Common delivery tools include PostgreSQL or other databases, Redis, Docker, OpenAPI documentation, automated tests and observability stacks.
When to bring in expertise
Companies often need freelance support when an existing Go service requires new routes, safer authentication or a clearer service boundary. A specialist can also help replace ad hoc HTTP handling, improve test coverage, prepare an API for production or connect Gin services with queues, databases and cloud infrastructure. In Germany, remote collaboration is common, while some teams combine it with on-site workshops.
Signs of strong practice
Quality is visible in both the code and the service behavior.
- Routes and middleware have narrow, understandable responsibilities
- Context cancellation, timeouts and error handling are treated deliberately
- Input validation and authentication are tested at the boundary
- APIs have consistent contracts, documentation and observability
- Concurrency is used carefully rather than assumed to solve every problem
Choosing a specialist
Review practical Gin work that resembles your service: public APIs, internal platforms or event-driven backends. Ask how the professional structures middleware, tests handlers, manages configuration and handles failures under load. The best fit combines Gin knowledge with sound Go practices, database design, security awareness and clear communication with product and infrastructure teams.
Frequently asked questions
Everything clients usually want to know about Gin, in one place.
Gin is used to build HTTP APIs, backend services and microservice endpoints in Go. It provides routing, middleware, request binding and response handling while keeping the underlying net/http model accessible.
Gin is a focused and lightweight choice for teams that want convenient routing and middleware without a large abstraction layer. Compared with heavier frameworks, it leaves more architectural decisions to the team; compared with using net/http alone, it offers more built-in structure for common API work.
A strong Gin specialist should also understand Go concurrency, interfaces, context cancellation and testing. Experience with SQL databases, authentication, Docker, OpenAPI, observability and cloud deployment is valuable when the framework is part of a larger service.
The right Gin experience depends on the scope and risk of the service, not on the framework alone. A small internal API may need focused delivery skills, while a public or business-critical system calls for proven judgment around security, contracts, testing, resilience and operations.
Gin work is well suited to remote collaboration because API contracts, pull requests, tests and deployments are easy to review asynchronously. Teams in Germany should define communication routines, documentation standards and any need for on-site workshops before the engagement begins.
Review how the Gin specialist handles validation, errors, middleware boundaries, timeouts and automated tests. Ask for examples of API documentation and production troubleshooting, then use a focused technical discussion to assess clarity rather than relying only on framework terminology.
Gin works well for microservices that expose HTTP or JSON endpoints and need a small, explicit service layer. It does not provide service discovery, messaging or deployment orchestration, so the professional should also be comfortable with the infrastructure and integration choices around it.
Before joining a Gin project, clarify the Go version, API contract, existing middleware, test coverage and deployment process. Freelancers should also ask about database ownership, authentication, observability, release responsibilities and how the team reviews changes.
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
