Amazon API Gateway Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Amazon API Gateway
Hamdi Rajab
Last position:
Full-Stack AI Developer at Karray-Pflege GmbH
PFS-Matching-App
- Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
- Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
- Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes
Christof Hlipala
Last position:
Senior Frontend Developer at HUK24 AG
- Designing new apps as well as enhancing and running 29 Angular apps for digital claims in an Nx monorepo
- Maintaining and improving a shared component library with ~300 libraries for multiple product teams
- Migrating all apps to a new design system including its component library and systematic refactoring
- Developing and maintaining the CI/CD pipelines (Jenkins, Azure DevOps, Terraform, AWS)
- Managing releases independently including branch handling, versioning, PR coordination and production deployment
- Implementing and maintaining tracking (Adobe Analytics)
- Ensuring accessibility according to BFSG/WCAG
- Test-driven development (TDD) with Jest and Cypress
- Code reviews, mentoring and setting up best practices in the team
- Technologies: TypeScript, Angular 16-20, RxJS, NgRx, Nx (Monorepo), npm, HTML, (S)CSS, Storybook, Jest, Cypress, Cucumber, Husky, Node.js, Git, AWS, Azure DevOps (Repos & Pipelines), Jenkins, Terraform, TDD, BFSG, WCAG, Nexus, IntelliJ, Adobe Analytics
Michael Fecher
Last position:
Freelancer, Solution Architect at Schufa AG
- Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
- Implemented automated AWS integration test suites
- Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
- This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
- Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
- Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
- Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles
Qaiser Abbasi
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
Helge Bredow
Last position:
Solution Architect at Deutsche Bahn
- Responsible for the end-to-end application and integration architecture of the Hamburg S-Bahn maintenance digitization program. A highlight is the introduction of robots and fixed camera towers to automate vehicle inspections, allowing AI image algorithms to assess train conditions during operation.
- Deutsche Bahn has one of the largest SAP PM implementations worldwide, which is a key component of this digitization.
Karl-Heinz Gille
Last position:
DevOps Engineer / JEE Developer at EnBW
Further development of an existing microservice architecture (REST) for asset model management and runtime environment in the cloud.
Java development (BE) in the SCRUM team.
Java (Spring Boot/Security)
PostgreSQL
Docker
AWS Services (Lambda, Cognito, ECS, SQS)
IntelliJ
Jan Kronenberg
Last position:
Software Architect: Training Platform for IT Career Changers at appvanced
- Mobile: Kotlin Multiplatform (KMP), Kotlin, Swift, SwiftUI, Jetpack Compose, Ktor, Room, Koin
- Backend: Spring Boot, GCP Cloud Run, GCP Load Balancer, GCP Eventarc
- Planned and developed a cloud backend architecture with Google Cloud Platform
- Developed a cross-platform architecture with Kotlin Multiplatform (KMP)
- Tech lead for comprehensive large project including webshop, two apps and omnichannel backend
Stephan Sahm
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Christian Hartmann
Last position:
Software Developer / Lead Developer at dpa (Deutsche Presse Agentur GmbH)
- Contributed to the development of the Rubix editorial system
- Implemented various microservices based on Java, AWS S3, AWS SQS, AWS SNS, and Spring Boot, deployed to AWS ECS and AWS Fargate
- Designed and developed AWS Lambdas using TypeScript
- Used PostgreSQL in an AWS RDS Aurora cluster and AWS DynamoDB
- Implemented continuous deployment with GitLab pipelines
- Built an Infrastructure as Code environment with AWS CDK
- Set up and maintained a monitoring platform using AWS CloudWatch
- Developed various frontend components with Vue.js
- Designed the microservice architecture applying Domain Driven Design and GraphQL interfaces
Discover over 15,000 top freelancers
Statistics of experts using Amazon API Gateway
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.1 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Quality Assurance
Bachelor's degree or higher
100%
Master's degree or higher
57%
Certifications per freelancer
2
Most common languages
German, English, 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 Amazon API Gateway
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
API access
Amazon API Gateway is used to expose backend services as managed APIs. Teams use it to publish REST APIs, HTTP APIs, and WebSocket endpoints for apps, partner integrations, and internal services. It fits well when you need controlled access, request validation, and consistent routing in front of Lambda, containers, or other cloud services.
Common work
- Design API paths, methods, and stage structure
- Connect API Gateway to Lambda, AWS services, or private backends
- Set up authorizers, usage plans, and API keys
- Tune throttling, caching, and CORS behavior
- Track logs, metrics, and error handling in production
AWS skills
Strong specialists with Amazon API Gateway usually also know IAM, Lambda, CloudFormation, CDK, CloudWatch, and AWS WAF. They understand OpenAPI specs, versioning, and how to keep API contracts stable as services change. This matters when the gateway is part of a broader AWS architecture, not a standalone component.
When to bring help
Companies often bring in freelance experts when an API layer must be rebuilt, secured, or cleaned up after rapid growth. It is also common during migrations from older API setups, when teams need better request shaping, custom domains, or private integration patterns. In Germany, these projects are often handled in mixed teams, so clear English documentation and reliable remote collaboration help a lot.
What good looks like
A strong specialist thinks beyond the console. They keep the API design readable, avoid brittle mappings, and make sure authentication, monitoring, and deployment are repeatable. Good work also includes practical choices on where API Gateway should sit and where a simpler direct integration is enough.
Delivery output
Amazon API Gateway work usually shows up as production-ready API designs, deployment templates, and secure integration layers. It can also include documentation for consumers, rollback plans, and support for testing paths before release. For companies, the goal is a gateway setup that is clear to operate and easy to extend.
Frequently asked questions
Everything clients usually want to know about Amazon API Gateway, in one place.
Amazon API Gateway is used to publish and manage APIs in front of backend services. It is common for mobile apps, web apps, partner integrations, and serverless systems that need controlled access and consistent routing. Teams also use it to add authentication, throttling, and request validation without building that layer themselves.
Amazon API Gateway gives you API-specific features that a basic proxy or load balancer does not focus on, such as authorizers, usage plans, and request transformations. A reverse proxy can be simpler for raw traffic routing, but it does not usually cover API lifecycle needs as well. The right choice depends on whether you need an API product layer or only traffic forwarding.
A strong Amazon API Gateway specialist usually knows IAM, Lambda, CloudWatch, and infrastructure as code tools such as CloudFormation or CDK. OpenAPI, CORS, WAF, and API security practices are also important. If the work touches private services, networking and VPC integration matter too.
Not always, but Amazon API Gateway work can become tricky fast when authentication, custom domains, multi-stage deployments, or legacy integrations are involved. For a simple endpoint setup, a solid mid-level specialist may be enough. For production changes, security-sensitive APIs, or migrations, senior experience saves time and risk.
Yes. Amazon API Gateway often fronts Lambda functions, but it can also connect to HTTP backends, private services, and other AWS integrations. That flexibility makes it useful for both serverless and service-based architectures.
Look for clean API design, secure defaults, and repeatable deployment patterns. A good Amazon API Gateway professional explains trade-offs clearly, documents routes and permissions well, and sets up monitoring that helps operations teams. The best sign is a setup that is easy to change without breaking consumers.
Yes, remote work is very common for Amazon API Gateway projects in Germany, especially when the work is mostly cloud configuration, API design, and documentation. On-site time can still help when teams need architecture workshops, security reviews, or alignment across many stakeholders. Clear written communication is often more important than being in the same office.
A good Amazon API Gateway freelancer usually delivers more than setup steps. Expect API definitions, infrastructure templates, secure integration settings, deployment guidance, and clear notes for future changes. For larger projects, they may also help with testing strategy and operational runbooks.
The average hourly rate of freelancers in Germany who have used Amazon API Gateway in their recent projects is 89 €, which corresponds to a daily rate of about 716 € based on an 8-hour working day.
Of the freelancers in Germany who have used Amazon API Gateway in their recent projects, 100% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Germany who have used Amazon API Gateway in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Amazon API Gateway in their recent projects are German (100%), English (100%), and Spanish (22%).
The most common industries among freelancers in Germany who have used Amazon API Gateway in their recent projects are Information Technology (100%), Education (44%), and Banking and Finance (44%).
The most common business areas among freelancers in Germany who have used Amazon API Gateway in their recent projects are Information Technology (100%), Product Development (89%), and Business Intelligence (78%).
Main locations of FRATCH Experts, who have recently used Amazon API Gateway
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
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Philipp Thomaschewski
FRATCH CEO
