Amazon API Gateway Experts in Germany
, matched in minutes with vetted freelance specialistsHire experts who design REST, HTTP and WebSocket APIs, connect AWS Lambda with backend services, and secure traffic with IAM, authorizers and throttling. Get precisely matched with vetted, available freelancers for your Amazon API Gateway project.
Meet FRATCH Experts in Germany, who have recently used Amazon API Gateway
Michael F.
Last position:
Platform Architect (Project lead) at Würth IT
I designed and built a self-service AWS platform for Data Science teams with little or no infrastructure-as-code experience. A team writes about 10 lines of Python and gets a deployable stack with full SDLC release cycle that already follows the governance rules. Networking, encryption, IAM and tagging are decided by the platform, not by each team.
New teams or AWS accounts are onboarded with one pull request. Waste prevention and cost control is built into the defaults: Data scientists don't need infrastructure skills.
- Construct library (AWS CDK, Python). Built a versioned catalog of about 20 hardened constructs for being used in data-science projects with ML context
- Governance as code
- Multi-account, multi-tenant
- Golden-path scaffolding
- CI/CD and supply chain. Built reusable GitHub Actions workflows
- Release engineering
- QA with e2e, contract testing and unit test coverage with each release candidate
Collin K.
Last position:
Software Architect / Fullstack Developer at Equity Bytes
Built an international e-commerce platform for a multi-vendor marketplace for digital assets from scratch. Designed and operated cloud native architectures at enterprise scale.
- Designed and operated a highly scalable microservice and serverless architecture
- Built the complete cloud infrastructure with Terraform + AWS CDK in AWS
- Provisioned ECS/EKS clusters (Fargate), Application Load Balancers (reverse proxy), and Lambda functions
- Observability & tracing with CloudWatch, DataDog, Prometheus, and Grafana
- End-to-end setup with DataDog (formerly AWS CloudWatch), Prometheus, and custom Grafana dashboards
- Integration of advanced metrics (including ORM mapper) and distributed tracing with Jaeger
- Robust backup and disaster recovery strategies
- RDS Postgres backups and hourly snapshots
- Read-only, asynchronously synchronized replicas with automated master failover in emergencies
- Minute-level rollback capability through versioned Docker images on ECS and Git-based CI/CD pipelines
- Created CI/CD pipelines with GitHub Actions for automated multi-stage deployments (Dev, Testing, Prod)
- Integrated Stripe for international payment processing
- Built a marketplace payment system with multiple parties and payout routines
- Used Algolia for high-performance real-time search of digital assets on the platform
- Federation of services with GraphQL and Hasura
- Later migration to GraphQL Mesh
- Test Driven Development (TDD) - unit, integration, and E2E testing with Jest, Vitest, and Playwright
- Used Next.js / React for modern frontend applications in the nx monorepo
- Enterprise security architecture & access control
- Integration of JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA protection, and secret vaults
- Authorization concepts with RBAC, ABAC, and native Postgres Row-Level Security (RLS)
- Built internal microfrontends with Retool for fast prototyping and operational business processes
Technologies: ABAC, AWS CDK, AWS CloudWatch, AWS ECS, AWS EKS, AWS Fargate, AWS RDS, AWS S3, Algolia, Auth0, DataDog, Docker, GitHub Actions, Grafana, GraphQL, GraphQL Mesh, Hasura, JWT, Jaeger, Java, JavaScript, Jest, Kotlin, Kubernetes, Monorepo, Next.js, OIDC, Playwright, Postgres, Postgres RLS, Prometheus, RBAC, Redis, Retool, Serverless, Stripe, Terraform, TypeScript, Vitest
Helge B.
Last position:
Solution Architect at Deutsche Bahn
- Responsible for the end-to-end application and integration architecture for the S-Bahn Hamburg maintenance digitalisation program. A highlight is the introduction of robots and permanently installed camera gates to automate vehicle inspections, allowing AI image algorithms to assess the condition of trains during operation.
- Deutsche Bahn has one of the largest SAP PM implementations in the world, which is a central component of this digitalisation.
Hamdi R.
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
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
Christof H.
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
Stephan S.
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)
Karl-Heinz G.
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 K.
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
Christian H.
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
14
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Insurance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
63%
Certifications per freelancer
3
Most common languages
German, English, Spanish
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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Amazon API Gateway 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%)
- Education (50%)
- Insurance (50%)
- Banking and Finance (40%)
- Transportation (40%)
- Automotive (30%)
- Healthcare (30%)
- Professional Services (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Amazon API Gateway does
Amazon API Gateway is a managed AWS service for creating, publishing, securing, monitoring and scaling APIs. It acts as the controlled entry point between clients and services such as AWS Lambda, Amazon ECS, Amazon EC2, AppSync and external backends. Teams use it to expose business capabilities without operating the API gateway layer themselves.
API types and delivery
The service supports REST APIs, HTTP APIs and WebSocket APIs. REST APIs provide extensive policies and transformation options, while HTTP APIs offer a leaner path for common integrations. WebSocket APIs support event-driven, two-way communication for live dashboards, collaboration features and connected applications.
- Design resources, routes, stages and deployments
- Connect Lambda functions, VPC services and HTTP backends
- Configure request validation, mapping and response handling
- Publish versioned APIs with custom domains
AWS ecosystem and tooling
Strong specialists work across the AWS ecosystem rather than treating API Gateway as an isolated product. Relevant tools include AWS Lambda, IAM, Amazon Cognito, AWS WAF, CloudWatch, Route 53, ACM and Secrets Manager. Infrastructure as code commonly uses AWS CloudFormation, AWS CDK, Terraform or Serverless Framework, with OpenAPI definitions supporting repeatable API delivery.
When companies need expertise
Freelance support is useful when an API must be introduced quickly, migrated from another gateway or made safer and easier to operate. Companies also bring in specialists when routes have grown inconsistent, costs need review, or several teams need a clear contract between frontend and backend services. In Germany, remote collaboration often works well, while regulated or complex environments may require on-site workshops and German-language communication.
- Establish authentication, authorization and usage plans
- Improve observability, error handling and release workflows
- Connect private services through VPC links and networking controls
What strong specialists deliver
A capable professional translates product requirements into a clear API contract and chooses the simplest suitable API type. They understand CORS, JWT validation, IAM policies, Lambda proxy integrations, caching, throttling, quotas and custom domains. They also test failure paths, document operational ownership and make deployments reproducible instead of relying on console-only changes.
Choosing the right project fit
Review practical work with the relevant API type, integration pattern and security model. Ask for examples of OpenAPI design, infrastructure as code, monitoring and controlled rollouts, not only route configuration. The right specialist can explain trade-offs between API Gateway and alternatives such as Application Load Balancer or a self-managed gateway, then align the choice with traffic, latency, governance and team skills.
Frequently asked questions
Everything clients usually want to know about Amazon API Gateway, in one place.
Amazon API Gateway provides managed entry points for applications and services. Companies use it to publish REST, HTTP and WebSocket APIs, connect Lambda or other backends, enforce access controls, and monitor requests.
Amazon API Gateway is designed for API-oriented features such as authorization, request transformation, throttling, usage plans and API lifecycle controls. An Application Load Balancer is often a better fit for distributing HTTP traffic directly across compute targets, especially when advanced API management is not needed.
A strong Amazon API Gateway specialist usually understands AWS Lambda, IAM, Amazon Cognito, CloudWatch, networking and OpenAPI. Infrastructure as code with AWS CDK, CloudFormation or Terraform is also valuable for repeatable environments and safer releases.
The required depth depends on the scope. A simple Lambda-backed HTTP API may need focused configuration skills, while private integrations, complex authorization, WebSockets, migration or high-governance environments call for a professional who has handled architecture, security and operations together.
Amazon API Gateway work is often suitable for remote collaboration because specifications, infrastructure code and observability can be reviewed online. On-site sessions can still help when the project involves regulated systems, several internal teams or German-language workshops.
Ask the Amazon API Gateway expert to explain route design, authentication, deployment stages, error handling and monitoring in a concrete example. Quality is shown by clear API contracts, least-privilege access, automated infrastructure, useful logs and a plan for testing failures and changes.
Amazon API Gateway can integrate with Lambda, but it also supports HTTP endpoints, AWS services, VPC-linked resources and other backend applications. This makes it suitable for mixed architectures where some services run on containers, virtual machines or external systems.
Before starting with Amazon API Gateway, clarify the API type, backend integrations, authentication model, deployment process and ownership of AWS accounts. Freelancers should also confirm whether the work includes OpenAPI documentation, infrastructure as code, observability, migration or ongoing operational support.
The average hourly rate of freelancers in Germany who have used Amazon API Gateway in their recent projects is 88 €, which corresponds to a daily rate of about 702 € 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 63% 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 (20%).
The most common industries among freelancers in Germany who have used Amazon API Gateway in their recent projects are Information Technology (100%), Education (50%), and Insurance (50%).
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 (100%), and Business Intelligence (70%).
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
