Serverless Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Serverless
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Anthony M.
Last position:
Research and Development, AI for Enterprise at Mwanachama
- Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
- Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
- Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
- Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
- AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
Jan M.
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Anton R.
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Kevin M.
Last position:
Backend & Infrastructure Engineer at Mileo Systems GmbH
- Engineered production-ready Azure environments using Terraform, ensuring consistent infrastructure parity across VNets and Resource Groups
- Implemented Microsoft Fabric tenant and workspace architecture for multi-stage Medallion data processing pipelines
- Designed secure data pathways using Managed Private Endpoints for isolated Azure Storage access
- Managed Service Principals and authentication tokens for secure REST API integrations
Leonard H.
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data including text, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Michael Y.
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Discover over 15,000 top freelancers
Statistics of experts using Serverless
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 16 years)
Position duration
2.4 years (Germany: 2.1 years)
Positions per freelancer
10 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Transportation, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
71% (Germany: 57%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 97%)
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 Frankfurt 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 Frankfurt 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Serverless 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 (89%)
- Transportation (56%)
- Banking and Finance (44%)
- Advertising (33%)
- Education (33%)
- Professional Services (33%)
- Government and Administration (33%)
- Automotive (22%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What serverless means
Serverless is a way to build and run software without managing the underlying servers yourself. Teams still write code, define triggers, and control the architecture, but the cloud handles provisioning, scaling, and much of the operational work. It is common for event-driven systems, APIs, and background jobs.
Common stacks
- AWS Lambda with API Gateway, SQS, SNS, and DynamoDB
- Azure Functions for cloud workflows and integrations
- Google Cloud Functions for lightweight event handlers
- Step Functions for multi-step orchestration
- Serverless Framework, SAM, or Terraform for deployment
Typical work
Strong professionals use serverless to ship services that react quickly to events and scale with demand. They often design backend endpoints, file processing flows, scheduled tasks, and integration layers between cloud services. In Frankfurt, this often fits finance, logistics, and data-heavy teams that need lean operations.
When companies hire
Companies bring in freelance expertise when a cloud project stalls, a monolith needs to be broken into functions, or an existing setup has rising latency and maintenance pain. They also seek help for migration from containers to Lambda or for cleaning up IAM, monitoring, and deployment workflows. Clear ownership matters because small design mistakes can spread across many functions.
What strong specialists do
Good serverless specialists think beyond code. They choose the right trigger model, keep functions small, manage retries and dead-letter queues, and set up logs, traces, and alerts so issues are easy to find. They also know where serverless is not the best fit, such as long-running tasks or tightly coupled state.
Collaboration and quality
Remote work is common, but Frankfurt teams often expect smooth communication with security, platform, and product stakeholders. Strong professionals write clear infrastructure code, document event flows, and leave deployments repeatable. Look for practical experience with production incidents, cost control, and cloud limits, not just small demo projects.
Frequently asked questions
Quick answers to the questions that come up most around Serverless.
Serverless is used for APIs, event handlers, file processing, scheduled tasks, and glue code between cloud services. It fits workloads that should scale up and down without running a full-time service. Teams often use it for backend logic that responds to queues, storage events, or web requests.
Serverless is the broader model, while AWS Lambda is one of the best-known services inside it. The same approach also shows up with Azure Functions and Google Cloud Functions. In practice, companies often mean Lambda when they say serverless, but the architecture includes more than one product.
Serverless removes more infrastructure work, while containers give you more control over runtime, networking, and long-lived processes. Containers can be easier for steady workloads or custom software stacks, while serverless often suits bursty, event-driven work. The right choice depends on state, latency, and operational needs.
A strong Serverless specialist usually knows IAM, event-driven design, API design, observability, and infrastructure as code. Familiarity with queues, object storage, managed databases, and CI/CD is also important. On AWS, experience with Lambda, API Gateway, Step Functions, and Terraform is especially useful.
Serverless projects need someone who has handled production details, not just toy examples. The most useful expertise comes from working through retries, permissions, cold starts, monitoring, and deployment failures. For a new setup or migration, you want a specialist who has built similar systems before.
Yes, Serverless works well for Frankfurt teams that want fast delivery and low operational overhead. It is a good fit for finance, reporting, logistics, and internal tools that connect to cloud services. Remote collaboration is common, but local availability can help when security, architecture, or stakeholder workshops need close coordination.
A good Serverless freelancer explains trade-offs clearly and can show production work, not just sample code. Look for clean event design, sensible error handling, logs and traces, and repeatable infrastructure setup. Strong professionals also know when serverless is the wrong answer and can say so early.
With Serverless, poor design can lead to hidden coupling, hard-to-debug failures, and cost or timeout problems. Common issues include overly large functions, weak permissions, missing retries, and unclear event contracts. A careful specialist prevents these problems by keeping boundaries simple and observable.
The average hourly rate of freelancers in Frankfurt, Germany who have used Serverless in their recent projects is 106 €, which corresponds to a daily rate of about 851 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Serverless in their recent projects, 100% hold at least a Bachelor's degree and 71% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Serverless in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Frankfurt, Germany who have used Serverless in their recent projects are German (100%), English (100%), and Russian (22%).
The most common industries among freelancers in Frankfurt, Germany who have used Serverless in their recent projects are Information Technology (89%), Transportation (56%), and Banking and Finance (44%).
The most common business areas among freelancers in Frankfurt, Germany who have used Serverless in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (78%).
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.
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Philipp Thomaschewski
FRATCH CEO
