Amazon VPC Experts in Munich
in minutes from over 15,000 CVs with the power of AIHire experts who design VPC layouts, private subnet and routing setups, security groups, network ACLs, and hybrid AWS connectivity with confidence. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Amazon VPC
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).
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.
Teemu Suvanto
Last position:
SRE at E.On SE
- Maintained a SaaS billing platform on AWS as part of the Site Reliability Engineering (SRE) team.
- Played a key role in an AWS cloud migration project, implementing Terraform (IaC), creating CI/CD processes and pipelines, hardening images, upgrading tool versions, and developing scripts.
- Wrote documentation.
AWS Cloud migration:
- Design and implement CI/CD for deploying AWS resources using GitLab CI, Terraform, and GitOps.
- Create and configure DevOps toolchain including Jenkins, Harbor, and Vault.
- Deploy billing application, microservices, and supporting infrastructure services to Nomad clusters.
- Re-designed TLS/mTLS certificate management using Vault and Lambda.
Security (Infrastructure Hardening & Patch Management & Vulnerability Scanning):
- Managed multiple AWS accounts for Consul/Nomad/Traefik clusters (10–20 EC2 instances/account, ASG) and DevOps toolchain accounts (Harbor, Jenkins, Vault).
- Created hardened AMIs via Packer based on CIS benchmarks for Nomad, Jenkins, Harbor, and Vault; deployed using Terraform.
- Integrated Trivy via Harbor plugin for container image scanning.
- Implemented strict AWS VPC security group rules.
- Developed and maintained patching process across environments using Qualys and Wiz.
- Deployed Qualys Cloud Agent to all EC2 instances, tracked CVEs and tested patches in lower environments before rollout.
- Automated patch deployment across all AWS accounts using Terraform and GitLab CI and verified patch compliance via Qualys/Wiz dashboards.
Stefan Zeidler
Last position:
Agile Project Manager at Telefónica o2 Germany GmbH & Co. OHG
- Implementation of MVPs in fixed-line communication with a team of 3 technical product owners
- Building the product roadmap
- Defining epics with business units, breaking down into features and user stories
- Managing offshore development teams
- Providing transparency and reporting to the overall program
- Agile development using SAFe approach
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)
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
Marco Fischer
Last position:
System Engineer–Vmware, Veeam at DCSO
- About 800 different server VMs, operation and lifecycle/asset management of about 40 ESXi hosts (Lenovo)
- Upgrade of all clusters to ESXi/VCSA 7.0U3 and 8. Planning patch management for all hosts
- Cleaning up the AD – many different domains that all needed to be migrated into the main environment. Planning/execution
- Veeam – check the configuration and migrate to a newer, partly virtual infrastructure to make the setup leaner and faster
- VMware – upgrades/updates, general maintenance
- Proxmox POC – evaluate if an alternative to VMware
- Documentation for Veeam/VMware/storage
- Implementation of the uniflow cloud solution
- NetApp migration to new storage, CIFS maintenance and administration of SVMs
Frank Eppink
Last position:
DevOps at Lauck-IT
Operations and extensions of Azure DevOps pipelines
Operations and extensions of AWS services
Citrix (Windows 10, Bitwarden)
AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting
Azure: build and deploy with DevOps pipelines
Majid Asadpoor
Last position:
Lead Consultant at Infosys
- Network automation
- CI/CD and Docker environment
- Python Nornir for network automation
- pyATS for monitoring and test case automation
- Network Access Control (RADIUS) and device admin access control (TACACS) with AAA and Cisco ISE on Cisco/HP/Aruba devices
- Cisco ISE cluster configuration (2/4/8 nodes)
- Cisco ISE authentication and authorization configuration
- Cisco/HP/Aruba switch/WLC TACACS/dot1x/RADIUS configuration
- Cisco ISE automation with RESTCONF and Python
Janusz Mazurek
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Discover over 15,000 top freelancers
Statistics of experts using Amazon VPC
Aggregated from the professional profiles of matched freelancers.
Experience
26 years (Germany: 20 years)
Position duration
2 years (Germany: 1.8 years)
Positions per freelancer
15 (Germany: 14)
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Project Management, Operations
Bachelor's degree or higher
89% (Germany: 81%)
Master's degree or higher
67% (Germany: 46%)
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
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 Amazon VPC
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 it covers
Amazon VPC is the AWS network layer used to isolate workloads, control traffic, and connect cloud services in a private address space. Companies use it to shape how apps, data, and internal tools move across subnets, routes, and gateways. You will also hear it called VPC, Amazon Virtual Private Cloud, or AWS VPC.
Core design
Strong specialists plan the network before anything is deployed. They define CIDR ranges, public and private subnets, route tables, internet gateways, NAT gateways, and peering. In Munich, this often supports teams that need clear separation between internal systems, customer-facing services, and shared AWS services.
Typical work
- VPC design for new AWS environments
- Secure subnet and routing layouts
- Connectivity with on-premises networks
- Traffic control with security groups and ACLs
- Review of existing AWS network setups
Ecosystem skills
Amazon VPC work rarely stands alone. Professionals often pair it with IAM, EC2, ECS, EKS, RDS, Transit Gateway, VPN, Direct Connect, Route 53, and CloudFormation or Terraform. Good specialists also understand DNS, IP planning, logging, and how network choices affect cost, resilience, and operations.
When to bring one in
Bring in freelance expertise when a cloud migration stalls, a network layout needs cleanup, or secure access between environments has to be rebuilt. It is also useful before a launch, after a security review, or when a Munich team needs short-term help from someone who can work with AWS teams across time zones and in English.
What strong experts deliver
Look for professionals who can explain trade-offs clearly, not just create resources. They should spot routing mistakes, reduce exposure, document decisions, and leave a setup that is easy to operate. For regulated workloads, they also need to think about segmentation, audit trails, and how VPC design supports incident response.
Frequently asked questions
Everything clients usually want to know about Amazon VPC, in one place.
Amazon VPC is used to build private network boundaries inside AWS. It lets teams control IP ranges, routing, inbound and outbound access, and links to other networks. That makes it central for application environments, data platforms, and internal systems that should not sit on the open internet.
VPC is the core network container in AWS, but it is only one part of the full networking picture. It works together with Route 53, Transit Gateway, VPN, Direct Connect, security groups, and load balancing. A good setup depends on how those services fit together.
Amazon Virtual Private Cloud gives you isolated networking inside AWS, while a VPN is mainly a secure tunnel between networks. It is not a private cloud in the classic sense; it is a virtual network inside the AWS environment. Companies often combine VPC with VPN or Direct Connect for hybrid access.
A strong AWS VPC specialist should know IP planning, routing, DNS, and security groups well. Experience with Terraform or CloudFormation is useful because most network changes should be repeatable. Familiarity with EC2, EKS, RDS, and hybrid connectivity helps them design networks that fit real workloads.
The right level depends on the scope. A small subnet cleanup may need a practical specialist who can fix routing and security settings, while a migration or multi-account design needs deeper AWS network experience. If the setup touches production, on-premises links, or shared services, choose someone who has done similar work before.
Yes, most Amazon VPC work can be done remotely because it is design, review, and infrastructure configuration work. A Munich-based team may still want on-site sessions for workshops, handover, or security reviews. Remote collaboration works well when the specialist writes clear notes and can coordinate in English.
Common signs include unclear traffic flows, repeated access issues, slow deployments, or a network that grew without a plan. If teams keep adding exceptions to get systems online, the design usually needs attention. A seasoned AWS VPC expert can simplify the setup and make it easier to maintain.
Look for clear reasoning, not just tool knowledge. A good VPC professional can explain why a subnet is public or private, why routes are set a certain way, and how the design supports security and operations. Well-written diagrams, clean Terraform or CloudFormation, and practical documentation are strong signs of quality.
The average hourly rate of freelancers in Munich, Germany who have used Amazon VPC in their recent projects is 104 €, which corresponds to a daily rate of about 829 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Amazon VPC in their recent projects, 89% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used Amazon VPC in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used Amazon VPC in their recent projects are German (100%), English (100%), and Spanish (20%).
The most common industries among freelancers in Munich, Germany who have used Amazon VPC in their recent projects are Information Technology (100%), Banking and Finance (70%), and Manufacturing (70%).
The most common business areas among freelancers in Munich, Germany who have used Amazon VPC in their recent projects are Information Technology (100%), Operations (80%), and Product Development (80%).
Main locations of FRATCH Experts, who have recently used Amazon VPC
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 
Berlin 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
