Amazon SNS Experts in Munich
matched in minutes from over 15,000 CVs with the power of AIHire experts who design SNS topic architectures, fan-out event flows, push notifications, and alerting pipelines. Work with specialists who connect Amazon SNS to SQS, Lambda, and CloudWatch, and who keep messaging reliable, secure, and easy to operate with fast, precise matching and vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Amazon SNS
Martin Petermann
Last position:
Business Analyst and Test Manager at ProSiebenSat.1 Tech & Services GmbH
- Analysis of affected business processes taking numerous stakeholders into account
- Interface analysis, architecture and system design
- Communicating and coordinating various subprojects and interface partners
- Creating epics and user stories, maintaining the backlog, workshops and review presentations
- Support during implementation between business departments and development
- Test management including strategy and approach definition
- Test case definition, execution and approval
- Cross-team organization of integration and acceptance tests
- Support of test environments
- Technologies and tools: Java, Angular, Kubectl, REST, AWS SNS/SQS, Kafka, S4/HANA, Bruno
Tezcan Dilshener
Last position:
Solution Architect / Project Manager at German Football Association
- Overall responsibility for the project lifecycle from scope definition to completion
- Close collaboration with platform teams, IT leaders, and external service providers
- Application of SAFe principles and structured sprint work
- Creation of a migration roadmap with clear milestones
- Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
- Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
- Regular status reports and running knowledge transfer sessions
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
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
Jiri Sostok
Last position:
Quality Manager/Test Management at Noriba GmbH
- Creation of test concepts
- Development of test processes
- Coordination of test case development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- Hardware testing: FPGA, RF
- Test automation and regression testing
- Ensuring 24/7 operation of the test system
- Analysis & reporting
- Regular coordination of the test team, meetings with other stakeholders
- Communication and coordination with stakeholders and project managers
Christof Nasahl
Last position:
Senior Developer at Otto GmbH
- Further development of personalized advertising spaces on the Otto web shop
- Full-stack development in a Kanban-driven team of about 15 people
- Technologies: Microservices, Kotlin, Spring, Spring Boot, Gradle, MongoDB, HTML, JS, Node, SCSS, AWS
- Development process: Kanban; continuous integration with AWS CodePipeline and GitHub Actions
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))
Stephan Menzel
Last position:
SAP
- Consulting and development for VR usage scenarios in industrial contexts
- Digital Twin, Unreal Engine VR deployments, Multi-user networking, Cloud infrastructure
- Technologies: AWS, Google Cloud, other Cloud Services; C++; Unreal Engine 5; Android, Meta Quest
Discover over 15,000 top freelancers
Statistics of experts using Amazon SNS
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 18 years)
Position duration
2.6 years (Germany: 1.7 years)
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Quality Assurance, Business Intelligence
Bachelor's degree or higher
100% (Germany: 88%)
Master's degree or higher
88% (Germany: 56%)
Doctorate
25% (Germany: 10%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
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 SNS
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
SNS basics
Amazon SNS, or Amazon Simple Notification Service, is AWS messaging for sending notifications and events to many subscribers at once. Teams use it for application alerts, mobile push, email, SMS, and event fan-out across services.
Common uses
- Publish system events to multiple consumers
- Send operational alerts and incident notifications
- Trigger workflows from backend events
- Deliver mobile and application push messages
It fits systems that need simple, decoupled communication rather than direct service calls.
Core ecosystem
Strong SNS work usually includes topics, subscriptions, message filtering, IAM, CloudWatch, and retries. In AWS setups, it is often paired with SQS, Lambda, EventBridge, or Step Functions to route messages cleanly.
What good specialists do
A strong professional knows payload design, delivery semantics, dead-letter handling, encryption, and access control. They also keep topic naming, subscription setup, and observability consistent so SNS stays maintainable as traffic grows.
When companies bring help
Companies usually bring in freelance SNS experts when messaging starts to fail under load, alerting becomes noisy, or event routing gets hard to trace. In Munich, this often comes up in SaaS, automotive, industrial, and enterprise teams that run mixed AWS landscapes and need clear remote collaboration with local stakeholders.
Hiring signals
- You need multi-channel notifications from one event source
- You already use AWS and want less coupling between services
- Delivery issues, retries, or permissions need a clean design
- You want someone who can review architecture and hand over stable setup
Good experts also know when SNS is the right tool and when SQS, EventBridge, or direct service calls fit better.
Frequently asked questions
Not sure where to start with Amazon SNS? These answers cover the essentials.
Amazon SNS is used to publish messages to many subscribers at once. Companies use it for alerts, mobile push, email or SMS notifications, and event fan-out between AWS services. It is a good fit when one event should reach several systems or teams.
Amazon SNS pushes messages to subscribers, while SQS stores messages for one consumer to process later. EventBridge is stronger for event routing across applications and SaaS sources, while SNS is often simpler for notification fan-out. Many AWS setups use SNS together with SQS or Lambda.
A strong Amazon SNS specialist should understand topics, subscriptions, filtering, IAM, encryption, and retry behavior. They should also know how to design message payloads and trace delivery problems with CloudWatch and logs. If the setup spans more services, AWS networking and serverless knowledge helps.
Usually yes, even for a small Amazon Simple Notification Service task. The service looks simple, but permissions, subscriptions, and failure handling can still cause problems. A freelancer should be able to set up the flow cleanly and explain the trade-offs in plain language.
Bring in SNS expertise when alerts are unreliable, messages are duplicated or missed, or the current design is hard to operate. It also helps when a team needs a review before launch or wants to connect SNS to several AWS services without creating tight coupling. External support is common during architecture cleanup and migration work.
Most Amazon SNS work can be done remotely because the main tasks are design, configuration, testing, and troubleshooting in AWS. On-site time only adds value when many teams need workshop-style alignment or when an existing operating model must be agreed quickly. For Munich teams, a mixed setup is often practical.
Look for someone who explains why they chose a topic design, subscription model, or retry path, not just how to click through the console. A good AWS SNS freelancer thinks about delivery behavior, security, and operations together. Clear handover notes and a stable setup are strong signs of quality.
Amazon SNS work often goes with SQS, Lambda, EventBridge, CloudWatch, IAM, and Step Functions. In some projects, the specialist also needs API Gateway, DynamoDB, or mobile push knowledge. The best fit depends on whether SNS is used for alerts, event routing, or application integration.
The average hourly rate of freelancers in Munich, Germany who have used Amazon SNS in their recent projects is 110 €, which corresponds to a daily rate of about 882 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Amazon SNS in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Munich, Germany who have used Amazon SNS in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Munich, Germany who have used Amazon SNS in their recent projects are German (100%), English (100%), and French (22%).
The most common industries among freelancers in Munich, Germany who have used Amazon SNS in their recent projects are Information Technology (100%), Automotive (67%), and Banking and Finance (44%).
The most common business areas among freelancers in Munich, Germany who have used Amazon SNS in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (78%).
Main locations of FRATCH Experts, who have recently used Amazon SNS
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
