Serverless Experts in Hamburg
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Meet FRATCH Experts in Hamburg, who have recently used Serverless
Thorsten Boock
Last position:
Senior Backend Engineer at VTG Rail Europe
traigo is VTG's digital rail logistics and fleet management platform. It processes large volumes of telemetry, mileage, geofence, sensor and wagon-movement events in near real time and provides operational services for rail logistics customers across Europe.
As part of Team Customer Selfcare, I worked on the design, implementation, optimisation and operation of large-scale backend services and event-driven processing pipelines — covering both feature development and operational ownership of business-critical production systems. I also regularly acted as first responder for production incidents, data inconsistencies and performance investigations across multiple distributed services.
- Design and implementation of event-driven backend services.
- Migration and replacement of legacy processing pipelines.
- Development of replay / rebuild mechanisms for large event datasets.
- High-throughput asynchronous event processing on SNS / SQS.
- Database and query optimisation for PostgreSQL and DynamoDB.
- Design of scalable read / write models and aggregation pipelines.
- Production troubleshooting and operational support.
- Performance tuning and infrastructure scaling.
- Design and stabilisation of integration and system tests.
- Technical concepts, architecture documentation, and cross-team collaboration.
- Support the further development of existing GitLab CI/CD pipelines
Geofence & Wagon Stay Processing
- Algorithm to detect vehicles within geofences (entry, exit, dwell time).
- Event sourcing with guaranteed chronological order within the affected time window.
- Refactored geofence event and wagon-stay processing logic for performance.
- Resolved race conditions and event-ordering problems in distributed services; server-side filtering, aggregation and optimised query pipelines.
- Repair and replay tooling for corrupted or inconsistent movement data.
Fleet Metadata & Mileage
- Modernised the service; migrated storage from DynamoDB to PostgreSQL to improve traceability and accelerate new features.
- Scalable mileage aggregation and replay mechanisms.
- Read / write models and optimised queries for high-volume mileage calculations.
Sensor & Telematics Integration
- Integrated telemetry and sensor processing pipelines.
- Snapshot and state-calculation logic for sensor systems.
- APIs and persistence models for wagon sensor data; data-quality improvements.
- Further development of a service using gRPC for intra-service communication.
Movement Segment Processing & Routing
- Migrated services to new movement-segment event streams.
- Built replay and rebuild tooling for segment correction.
- Optimised throughput and reliability for high-volume event processing.
Condition Monitoring & Wagon Analytics
- APIs and backend services for wagon condition monitoring.
- Brake-wear prediction processing and wagon analytics functionality.
- PostgreSQL views and optimised query models for operational dashboards.
Operational Reliability - First Responder
- Investigated production incidents and distributed-system failures; DLQ analysis, replay and operational recovery.
- Tuned database performance and AWS infrastructure under production load.
- Improved observability, monitoring and operational tooling.
- Supported rollout strategies, monitoring and post-deployment stabilisation.
Marc Matt
Last position:
Freelance Data Specialist at BrightlySoftware – A Siemens Company
- Migration of customer data from a private cloud to AWS
- Optimizing data transformation jobs and migration from Talend to AWS Glue
- Automation of all migration steps
- Used technologies: AWS, Python, Lambda, CloudFormation, SQLServer, AWS Stepfunctions, Glue, PySpark
Bogdan Melnychuk
Last position:
Tech Lead at cirplus
- Sole technology owner, leading architecture, development, operations, and infrastructure. Leveraging AI to accelerate work in areas like front-end and design.
- Built full-stack solutions (backend, React front-end) with CI/CD pipelines and observability standards, setting the foundation for an engineering organization.
- Delivered AI-driven features using LLMs, automating supplier–buyer matching, lead generation, email campaigns, and reducing manual effort.
- Reduced cloud costs by 90% by migrating the system to an AWS serverless architecture
Andreas Schmückert
Last position:
Solution Architect, Business Analyst, Consultant, Full-Stack Lead-Developer at 50Hertz Transmission GmbH
- Solution for micro-service and frontend solution for the electric grid
- Leading of development teams
- Technologies: React-Native, TypeScript, Kotlin, AWS, Infrastructure As Code, Serverless Architecture, React, NoSQL, GraphQL, Angular, Playwright, Python, ML(Ops), Kubernetes, Docker
Andreas Steffan
Last position:
Lead Developer at Software
- Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
- Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
- Implemented based on RESTful / OpenAPI services
- Delivered as a fat-jar and native container image
- Deployed on-premises and serverlessly as an Azure Container Application using Terraform
- Improved team autonomy through infrastructure engineering and short feedback loops
- Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
- Introduced Terraform and trunk-based development processes
- Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
- Created Azure DevOps pipeline integration tests
- Introduced cloud deployment processes
- Trained staff in cloud and Terraform
Mark Plaatsman
Last position:
Full-Stack Software Developer, Product Data Import at Otto (GmbH & Co KG)
- Manage and operate the product data import services for the Otto merchant
- Enhance and maintain the backend systems
- Optimize and maintain AWS infrastructure
- Build a new product data import API
- Design and plan stories and features
- Conduct code reviews to ensure code quality and best practices
- Analyze and fix bugs
- Technologies: Java, Spring Boot, Kafka, AWS, Fargate, Terraform, MongoDB, Mongo Atlas, OpenAPI, GitHub, GitHub Actions, GitHub Copilot, Akhq, Debezium, JUnit, Test Containers, Hexagonal Architecture
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
Sebastian Wetzel
Last position:
Software Engineer & Consultant at Freelancer
Specialized in event driven microservice architecture in AWS with NodeJS, Typescript and Vue/React/Next in the frontend
Developed a SaaS product in the B2B sector
Used AWS services: DynamoDB, Lambda, SQS, SES, EventBridge, Cognito; Serverless-Framework; Rest-API
Implemented unit tests with Jest and Mocha
Set up CI/CD pipeline with GitHub Actions
Developed a SaaS product for organization management
Worked with AWS Microservice architecture and event driven design
Utilized CDK, NodeJS OpenAI-API, React, Vue
Continued use of DynamoDB, Lambda, SQS, SES, EventBridge, Cognito, Typescript
Maintained CI/CD pipeline with GitHub Actions
Daniel Pape
Last position:
Professional Development
Attained AWS Certified Cloud Practitioner certification.
Mastered Rust through self-study, including books, online courses, and open-source contributions.
Developed a serverless web application using AWS (RDS, Lambda, Polly, Amplify) and TypeScript/React/D3, managed infrastructure with CDK.
Continuously stayed updated with industry trends through self-education, webinars, and workshops, exploring Data Mesh and FastAPI.
Marvin Stürcke
Last position:
Senior Software Engineer at Porsche Digital
Discover over 15,000 top freelancers
Statistics of experts using Serverless
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
2.2 years (Germany: 2 years)
Positions per freelancer
14 (Germany: 11)
Top business areas
Information Technology, Product Development, Marketing
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
83% (Germany: 94%)
Master's degree or higher
67% (Germany: 58%)
Doctorate
17% (Germany: 11%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Hamburg 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 Hamburg using Serverless
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
What serverless means
Serverless is a cloud way to run code without managing servers. Teams use it for APIs, background jobs, event handlers, and data pipelines that scale on demand. It is often built with AWS Lambda, Azure Functions, or Google Cloud Functions.
Where it fits
- Event-driven backends
- Scheduled automation and batch tasks
- File, queue, and stream processing
- Lightweight APIs and web hooks
- Internal tools and workflow services
It fits products that need fast delivery, variable traffic handling, and small deployable units. In Hamburg, it often shows up in logistics, media, commerce, and connected services.
Tooling and ecosystem
A strong Serverless setup usually includes infrastructure as code, observability, and clear deployment pipelines. Common building blocks are AWS SAM, the Serverless Framework, Terraform, API Gateway, event buses, queues, and cloud logs and traces.
When experts help
Companies bring in freelance specialists when a monolith needs to break into functions, when costs or cold starts need attention, or when delivery has stalled. They also help with migration plans, security review, and production readiness.
What good work looks like
Good professionals keep functions small, predictable, and testable. They design for retries, idempotency, monitoring, and least-privilege access. They also know when serverless is the right fit and when a container or service may be simpler.
Hiring in Hamburg
For Hamburg teams, serverless work often needs clear communication with product, cloud, and operations specialists. Remote collaboration works well for architecture, implementation, and review, while on-site sessions help with planning, stakeholder alignment, and incident follow-up.
Frequently asked questions
Quick answers to the questions that come up most around Serverless.
Serverless is used for event-driven APIs, background processing, scheduled tasks, and integrations that react to cloud events. It is a good fit when teams want to ship small services quickly without managing servers. Many projects use it for AWS Lambda-based workflows, but Azure Functions and Google Cloud Functions are common too.
Serverless removes most server and runtime management, so it is usually simpler for bursty, event-based work. Containers and Kubernetes give more control and are often better for long-running services, custom networking, or tightly managed runtimes. The right choice depends on the workload, not the trend.
A strong Serverless specialist usually knows cloud IAM, APIs, event queues, logging, tracing, and infrastructure as code. Familiarity with Terraform, AWS SAM, the Serverless Framework, or CDK is a plus. Security and cost-aware design matter as much as code.
Serverless work benefits from expert help as soon as the design has to hold up in production. If you need multi-step workflows, shared libraries, observability, or migration from a monolith, a specialist can save time and avoid rework. Simple prototypes may not need deep support, but live systems usually do.
Serverless projects often center on AWS Lambda, Azure Functions, Google Cloud Functions, API Gateway, queues, object storage, and event buses. Many teams also use Step Functions or similar orchestration tools for longer workflows. The exact stack depends on the cloud provider and the business case.
Yes. Serverless collaboration is often remote-friendly because architecture reviews, code changes, and deployment work all happen in shared cloud tools. For Hamburg teams, on-site workshops can still help at the start of a migration or during incident analysis.
Look for clear decisions around retries, idempotency, permissions, monitoring, and deployment structure. A strong Serverless professional can explain why a function exists, how it fails, and how it is observed in production. Ask for examples of migrations, production fixes, or cost and reliability improvements.
Serverless is the wider cloud approach; FaaS, or function as a service, is one part of it. FaaS platforms like AWS Lambda and Azure Functions run small units of code on demand, but serverless also covers managed services such as queues, storage, and orchestration. In practice, the terms are often used together, but they are not identical.
The average hourly rate of freelancers in Hamburg, Germany who have used Serverless in their recent projects is 94 €, which corresponds to a daily rate of about 754 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Serverless in their recent projects, 83% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used Serverless in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Hamburg, Germany who have used Serverless in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Hamburg, Germany who have used Serverless in their recent projects are Information Technology (100%), Automotive (50%), and Banking and Finance (50%).
The most common business areas among freelancers in Hamburg, Germany who have used Serverless in their recent projects are Information Technology (100%), Product Development (90%), and Marketing (60%).
Main locations of FRATCH Experts, who have recently used Serverless
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 
Munich 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
