Serverless Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Serverless
Mirza Klimenta
Last position:
Agentic AI for a DeepResearch project at Freelance
- Created a multi-agentic system supported by a knowledge graph to automate drafting of research papers
- Used multiple experts (OpenAI models) collaborating during document drafting
- Extracted useful information from the knowledge graph
- Technologies: LangChain, LangGraph, Smolagents, LlamaIndex, dspy
- Infrastructure: Terraform and GitHub Actions (CI/CD) on AWS
- Deployed initial application as a Streamlit app
Thomas Hoefkens
Last position:
Senior MLOps, DevOps Engineer at Trianel Energy
- Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
- Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
- Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
- Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
- Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
- Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
- Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
- Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
- Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
- Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
- Integration of RESTHeart to create a REST API for MongoDB.
- Build an Angular frontend to simplify data queries and master data maintenance.
- Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
- Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).
Omar Ashour
Last position:
Senior Fullstack AI Engineer (Team Lead – B2C Platform) at mama health
- Partner directly with C-level leadership (CEO, CAIO, CTO) on architecture, OKR strategy, and cross-team roadmap prioritization, translating strategic goals into structured engineering requirements.
- Surfaced and mapped technical debt across the entire organization with C-level leadership and co-defined a prioritized remediation strategy, balancing debt paydown against feature delivery.
- Led code reviews and technical standards across the team, fostering a mentor-first environment with two-way feedback dialogue — pairing on complex pipeline work and unblocking junior engineers on async architecture patterns.
- Re-architected the AI companion's core processing pipeline from synchronous to asynchronous with a queue-based worker architecture, enabling horizontal scalability and cutting upload processing time ~4x (from ~22s to 5–10s) while improving response accuracy.
- Designed an AI-driven document intelligence workflow with automatic multi-document classification, per-document summarization, and relevance guardrails for the patient care journey.
- Built a unified patient memory system (short- and long-term context) bridging the document vault and chatbot into a single bidirectional, context-aware platform.
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Hardeep Bhutter
Last position:
Sr. Data Engineer at Charles Schwab Bank
- Designed and implemented end-to-end data pipelines (batch & streaming) using Python, SQL, and Apache Spark, Databricks on AWS reducing ETL latency by 40%.
- Developed serverless event-driven ingestion pipelines using AWS Lambda and SQS, ensuring real-time data availability for downstream analytics.
- Leveraged Google Cloud Platform (GCP) services including BigQuery and Dataflow to manage cross-cloud data warehousing and analytics integration.
- Expertise in DMS (CDC, Full Load) and Airflow for scalable data pipeline automation and orchestration.
- Managed and customized data pipelines using Databricks, Airflow. Automation using Docker, Kubernetes, Terraform.
- Automated data quality checks using dbt to modularize transformations and ensure production-grade data lineage, improving reliability by 30%.
- Collaborated with compliance teams to ensure GDPR and SOC2 alignment. Mentored junior engineers and contributed to architecture refactoring for scalability.
- Created and maintained dashboards in Power BI to provide actionable insights.
Vitaliy Ryumshyn
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Alexandre Savio
Last position:
Cloud Engineer at Dectris AG
- Build a scalable multi-region backend service in AWS to serve remote desktop virtual machines for scientific analysis
- Stack: AWS, GitHub, Terraform, Python, Rust
- Built and defined the core infrastructure of the backend system
- Defined and coded the virtual machines provisioning supporting Ubuntu and Rocky Linux desktop setups
- Programmed the API service running in ECS to manage virtual machines and build custom Docker images for users
Sara Zarei
Last position:
Data Analyst / Analytics Engineer at IDG Tech Media GmbH
- Designed, built, and maintained scalable ETL/ELT data pipelines using Python, SQL, REST APIs, AWS Lambda, S3, PostgreSQL RDS, EventBridge, CloudWatch, Docker, Apache Airflow, and BigQuery – integrating data from GA4, Google Ads, Meta Ads, CMS, CRM, newsletters, events, and B2C ordering systems into analytics-ready datasets.
- Built a cross-brand lakehouse architecture from AWS to BigQuery – transforming raw JSON/CSV data into structured, partitioned, and reusable reporting layers with staging, intermediate, canonical, and mart models.
- Designed relational and dimensional data models: 3NF staging models, star schemas, fact tables, dimension tables, daily KPI aggregates, and dashboard-optimized marts for marketing, content, subscription, event, CRM, and revenue analysis.
- Implemented production-grade data quality and pipeline reliability features: incremental loads, idempotent upserts, deduplication, schema validation, row matching, null checks, anomaly detection, freshness monitoring, logging, retries, and error alerts.
- Automated cross-brand reporting processes and data products – pipelines for 73 newsletter campaigns, 31 lead list syncs, 52 event partner reports, and a 500K-record company matching pipeline; reduced manual data preparation by approx. 70% and increased analyst productivity by approx. 30%.
Christian Schulz
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Roxana Girdu
Last position:
Freelance Senior Frontend Developer at RHI Magnesita
- Designed and developed a high-performance internal resource management platform using React and TypeScript, optimizing dynamic data rendering and state management.
- Built a React Native application to support mobile access to internal tools, enabling on-the-go project tracking for field teams.
- Developed custom 2D canvas-based visualizations using Pixi.js to simulate material flows and refractory layer behaviors.
- Integrated Pixi.js with React components for interactive diagrams and real-time UI updates.
- Developed interactive 3D visualizations using React.js for displaying refractory product layouts and simulations, supporting engineering and sales teams with dynamic product previews.
- Integrated Three.js within the React ecosystem to allow manipulation of 3D models in real-time via browser, enhancing user engagement and field configurability.
- Integrated a headless CMS to enable dynamic content updates by non-technical users, reducing content deployment time by 40%.
- Led AWS CloudFront optimization initiatives, improving portal load speeds by 30% globally.
- Actively collaborated with cross-functional Agile teams and product owners to deliver prioritized features with a fast feedback loop.
- Key Technologies: React.js, React Native, Three.js, TypeScript, Contentful CMS, AWS S3/Lambda/CloudFront, Cypress, Agile Scrum
Enis Spahi
Last position:
Software Developer at 50Hertz Transmission GmbH
- Participated in the gradual modernization of components into cloud-native 12-factor applications.
- Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
- Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
- Migrated several components into the OpenShift Kubernetes cluster.
- Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
- Developed dashboards in both Grafana and Splunk for operational transparency.
- Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
- Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.
Pavlo Voznenko
Last position:
(Group) CTO at Seven.One Entertainment Group
Successfully restructured ProSiebenSat.1 Digital and merged with Seven.One Entertainment Group to enable Digital Consumer Products strategy for 6k+ employees across DACH.
Acquired JOYN streaming platform (4M unique users) from Warner Bros. Discovery and managed integration of 160+ people while maintaining efficiency.
Pivoted to a platform organisation with a capped annual budget of EUR -100M, decreasing time-to-market and enabling product testing within 3 months, avoiding significant upfront investment.
Focus on reusability and modular components generated new mid-digit multimillion revenue through Live Interactive shows (EUR 2.5M project budget, 7 months of development).
Built from scratch and went live with a new publishing business for Digital News and Sports within 6 months, enabling 250+ editors with multi-tenancy support.
New tech stack product achieved +66% YoY unique monthly active users and +60% YoY time spent per day (>2h).
Piotr Kuczyński
Last position:
Senior Software Engineer at On
- Built middleware service integrating EDI providers and marketplace partners with Microsoft Dynamics 365 to receive sales orders and communicate shipments, invoices, inventory, and price catalogues
- Utilized a mixture of REST APIs and event-driven data processing pipelines
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Nikolay Tonev
Last position:
Senior Cloud Data Architect at Cloudreach/Eviden (an ATOS Company)
- Architected a self-service Google Kubernetes Engine (GKE) platform for a major financial institution (Commerzbank), enabling 1000+ users across hundreds of product teams to autonomously provision resources and significantly accelerate development cycles.
- Designed a data-product-oriented platform architecture for the UK Department for Transport (DfT) to serve over 1500 direct end-users and numerous connected third-party systems, enhancing data accessibility and governance.
- Drove business growth by developing the strategic roadmap for the 'One Cloud' business line, targeting a 10% revenue increase.
- Served as a key member of the CTO Authority, providing strategic guidance on internal cloud initiatives and best practices.
Discover over 15,000 top freelancers
Statistics of experts using Serverless
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 16 years)
Position duration
2.2 years (Germany: 2 years)
Positions per freelancer
12 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Retail, Automotive
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
72% (Germany: 58%)
Doctorate
22% (Germany: 11%)
Certifications per freelancer
3
Most common languages
English, German, Spanish
Speak two or more languages
95% (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 Munich 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 Munich 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
Serverless built for delivery
Serverless is a cloud way of running code without managing servers directly. Companies use it for APIs, event handlers, background jobs, file processing, and automation that should scale with demand. It fits products that need fast releases and low operations overhead.
Common stacks
- AWS Lambda with API Gateway and DynamoDB
- Azure Functions with event triggers and integrations
- Google Cloud Functions for lightweight services
- Event-driven apps with queues, streams, and webhooks
- Infrastructure as code for repeatable deployments
Where specialists help
Freelance specialists are often brought in when teams need to move from monoliths to functions, fix cold start issues, or clean up brittle event flows. They also help when internal teams need support for observability, permissions, deployments, or cost control in live systems.
Strong delivery
A strong serverless professional thinks beyond code. They design small, testable functions, clear events, safe retries, and good logging. They also understand IAM, API design, and how to keep functions maintainable when the system grows.
Typical use cases
- Public and private APIs
- File uploads, transformations, and notifications
- Scheduled tasks and automation
- Event processing from messaging and streaming services
- Prototypes that need to become stable production systems
Munich context
In Munich, serverless work often sits near cloud migration, mobility, e-commerce, industrial software, and data-heavy internal tools. Companies usually want experts who can collaborate in English and, when needed, work with local product and operations teams on site or remotely. That mix matters when delivery touches existing cloud accounts and live workflows.
Frequently asked questions
Key details about Serverless, drawn from the questions we get asked most.
Serverless is used for services that react to events instead of running all the time. Typical work includes APIs, file handling, scheduled tasks, integrations, and background processing in AWS Lambda, Azure Functions, or Google Cloud Functions.
Serverless is the broader approach; AWS Lambda is one of the most common services used to implement it. The same pattern also appears with Azure Functions and Google Cloud Functions, plus services around queues, events, and managed databases.
A company should bring in Serverless expertise when it needs to design a new event-driven system, refactor a legacy service, or stabilize production workflows. Specialists are also useful when teams need better observability, permissions, deployment setup, or cost-aware architecture.
A strong Serverless freelancer usually brings cloud architecture, infrastructure as code, API design, and event-driven thinking. Skills in IAM, monitoring, testing, and data flow design matter just as much as writing the function code.
Serverless removes much of the server and cluster management, so it suits smaller units of work and event-based systems. Containers and Kubernetes are better when you need long-running services, tight runtime control, or a platform for more mixed workloads.
A Serverless project can be small, but it still needs careful design around events, retries, security, and deployment. Simple functions are easy to start, yet production systems need someone who knows cloud behavior, debugging, and operational limits.
Yes. Serverless work is often well suited to remote collaboration because architecture reviews, code changes, and cloud setup can be handled in shared tools. On-site time in Munich can still help when the work involves workshops, stakeholder alignment, or a live migration.
Look for a Serverless specialist who can explain the event flow, failure handling, permissions, and deployment path clearly. Good signs are pragmatic design, clean observability, and solutions that stay simple instead of adding unnecessary layers.
The average hourly rate of freelancers in Munich, Germany who have used Serverless in their recent projects is 104 €, which corresponds to a daily rate of about 833 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Serverless in their recent projects, 100% hold at least a Bachelor's degree, 72% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Munich, Germany who have used Serverless in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Munich, Germany who have used Serverless in their recent projects are English (100%), German (90%), and Spanish (20%).
The most common industries among freelancers in Munich, Germany who have used Serverless in their recent projects are Information Technology (90%), Retail (55%), and Automotive (50%).
The most common business areas among freelancers in Munich, Germany who have used Serverless in their recent projects are Information Technology (100%), Product Development (80%), and Business Intelligence (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.
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Hamburg 
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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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
