AWS IoT Core Experts in Germany
matched in minutes by AIHire experts who connect devices securely, design MQTT and HTTP messaging flows, and integrate AWS IoT Core with Lambda, Rules Engine, Device Defender and data services. FRATCH quickly matches you with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Germany, who have recently used AWS IoT Core
Osman T.
Last position:
Senior Architect, DevOps Engineer at genPsoft GmbH
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration, continuous delivery in backend and frontend areas for Automotive Project Instavalo.
Frontend:
- Implementation of UI components according to specifications, especially style guides and responsive design eith React and Typescript
- Component testing
- Code documentation
- CI/CD with Gitlab Pipeline
Backend / IoT:
- Analysis and architectural design with AWS Greengrass IoT on Edge Devices
- Setting up Microservices containers with Docker Compose on Edge device with AWS Greengrass and AWS IoT IAM, Token Exchange Service, Ansible
- CI/CD with Gitlab Pipeline, Terraform, AWS ECR
- Logging with Fluentbit Lua Language for AWS Cloudwatch
- Python Lambda for AWS Greengrass Recipe deployment on Edge Devices
- Implementation of test-driven development with JUnit, Mockito, and code Coverage
- Jacoco
- Definition of REST interfaces with OpenAPI / Swagger
- Development and enhancement of software based on Java Quarkus, Typescript NestJs NodeJs and Python
- Authentication and authorization in Aws IAM
- Development of REST and gRPC interfaces for the frontend and backend
- Implementation of Maven dependencies with DevSecOps OWASP
- Spring AI, Jetbrains AI Assistant, Junie, Github Copilot, Claude Code, Agents, Skills, Command, Hooks, Subagents
Michael F.
Last position:
Freelancer, Solution Architect at Schufa AG
- Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
- Implemented automated AWS integration test suites
- Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
- This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
- Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
- Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
- Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles
Clemens B.
Last position:
Director of Engineering at SIDES GmbH
- Leading engineering organization of 45 engineers across 8 teams while serving dual role as Head of Backend
- Addressed critical organizational challenges including siloed departments, lack of engineering processes, and absence of technical strategy
- Executed comprehensive engineering leadership in people management, organizational design, and strategic planning
- Drove platform modernization including migration to a new Python backend, implementation of React micro-frontends, and transition to event-driven architecture
- Established engineering excellence framework through Architecture Decision Records, RFC processes, and comprehensive technology roadmapping
- Transformed engineering into integrated business partner by building collaboration channels with Product Management and Customer Operations teams
- Reduced escaped bugs by 50% and increased test coverage in legacy systems
- Achieved 100% Q2 roadmap delivery through realistic planning and improved estimation accuracy
- Introduced AI engineering strategy, establishing policies, providing tools, and training team on prompt engineering and agentic workflows
- Saved €10k monthly through infrastructure optimization including AWS IoT to RabbitMQ migration and decommissioning legacy systems
- Improved team engagement from 60% to 100% survey participation and enhanced eNPS scores among team leaders
- Built high-performance team through strategic hiring of Python, Go, and frontend engineers and improved onboarding
- Implementing transition to self-organized cross-functional teams
Arne H.
Last position:
Embedded Fullstack Developer at IoT / Infrastructure Automation Sector
- Analysis of legacy codebase and identification of architectural issues, implementing improvements in coordination with the Product Owner.
- Development of clean, efficient, and fully documented code following established software engineering practices and standards.
- Analysis of Erlang components in backend and device layers to provide recommendations for ensuring stable system operation.
- Setup and optimization of CI/CD pipelines on client infrastructure, including testing, debugging, and certificate management quality assurance.
- Participation in planning, design, and implementation of epics and stories according to Product Owner specifications.
- Technical consultation for Product Owner regarding Erlang codebase management and best practices.
- Collaboration with Product Owner, Scrum Master, and development team to ensure timely delivery of features.
- Elixir & Phoenix + PostgreSQL
- Erlang
- IoT
- CI/CD
- Git
- Agile/Scrum
- Docker
- Kubernetes
- Frontend (VueJS)
- Embedded Devices
Meenakumar V.
Last position:
Senior Embedded Technical Manager at IIT Madras Pravartak Technologies
- Led 14 member dev team and delivered postgresql database integration and performance optimization
- Delivered 8 K lines of C code with fewer defects (5 medium to low) in 8 months of development
- Integrate open source pgVector for AI application of the database for exact and nearest neighbor search
Volker K.
Last position:
Head of Engineering at Infoniqa
- Led engineering execution: roadmap planning, capacity alignment, risk management, dependencies, and delivery tracking.
- Consolidated multiple payroll product lines into a unified SaaS platform on Dynamics 365 Business Central, enabling scalable post-merger operations and reducing operational complexity across the portfolio.
- Restructured engineering and product teams in a remote-first setting across Germany, Austria and Poland, consisting of five cross-functional units: compliance/enabling, platform, DevOps and two stream-aligned teams with total FTE depending on phase of reorganisation.
- Rebuilt the mid-level leadership layer and mentored engineering leaders, establishing a leadership pipeline and strengthening architectural decision-making across teams for scalable growth, delivery ownership and predictability.
- Designed platform foundations and system boundaries using Team Topologies aligned structures, enabling scalable ownership, clear interfaces and parallel development across distributed teams.
- Spearheaded AI transformation by implementing AI-assisted SDLC practices using SpecKit and GitHub Actions for automated, executable specifications, while delivering agentic product capabilities by securely exposing platform data and services to AI agents and copilots via RAG-based retrieval pipelines and MCP-style extensions.
- Drove modularisation of tightly coupled legacy logic into independently deployable services, improving maintainability, testability and architectural clarity while preserving continuity through targeted, low-risk extraction rather than full rewrites.
- Established observability, CI/CD and DevOps governance as platform capabilities, increasing automated compliance gates from 25% to 75% and improving deployment cadence by 40% across 15+ product versions.
- Improved operational resilience using DORA-aligned practices (lead time ↓50%, SaaS MTTR ↓85%), strengthening reliability and reducing support overhead.
- Coordinated engineering recovery for the German payroll platform during a company-wide P0 ransomware incident; restored platform continuity within 72h, validated data integrity, and rolled out hardened runbooks and automated recovery playbooks.
- Responsible for budget compliance and cost oversight in Engineering, with limited P&L responsibility and participating in the annual COGS/OPEX/CAPEX planning cycle.
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Hanno K.
Last position:
Vice President, Product Development at EdgeIQ, Inc
- Responsible for EdgeIQ Symphony, a low-code workflow orchestration platform for the Connected Product Economy
- Developed an IoT platform that can scale to millions of devices and billions of processed events
- Flexible platform design allows management of heterogeneous device fleets
- Integration with modern IoT technologies like MQTT, LWM2M, x509 certificate-based authentication, TPM2.0-hardware encryption
Ankit A.
Last position:
Staff Engineer at Shopify Financial Services
- Took charge as a main Tech Lead within a dynamic team of 10 professionals within Shopify Capital
- Played a pivotal role in conceiving and shaping novel product concepts, crafted comprehensive feasibility assessments, devised strategic roadmaps, and meticulously evaluated associated risks
- Innovatively devised a transformative project that streamlined the manual verification process of Capital AU, resulted in a remarkable 25% reduction in manual intervention
- Delivered comprehensive product consultation, intricate technical design, and seamless implementation strategies for Shopify Capital across diverse international markets
- Orchestrated effective collaboration across multifunctional teams, fostered creation of the groundbreaking solutions that empowered enterprises to seamlessly access essential capital, fueled their expansion and advancement
- Demonstrated a history of delivering top-tier solutions that align with business goals and surpass customer expectations
Janusz M.
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 AWS IoT Core
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.8 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Business Intelligence, Quality Assurance
Bachelor's degree or higher
89%
Master's degree or higher
78%
Doctorate
11%
Certifications per freelancer
2
Most common languages
German, English, Arabic
Speak two or more languages
100%
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 Germany 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 Germany using AWS IoT Core
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.
AWS IoT Core 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 (100%)
- Banking and Finance (50%)
- Automotive (40%)
- Manufacturing (40%)
- Education (30%)
- Insurance (30%)
- Transportation (30%)
- Professional Services (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Connected device foundations
AWS IoT Core is a managed AWS service for connecting devices to cloud applications without operating the underlying message broker. It supports MQTT, MQTT over WebSocket and HTTP, with device identities, certificates and policies controlling access. Teams use it to ingest telemetry, send commands and manage reliable device communication.
Products and use cases
The service fits systems that collect data from equipment, vehicles, sensors and consumer products. Typical deliverables include:
- Device onboarding and certificate-based authentication
- Telemetry pipelines for monitoring and analytics
- Remote commands, alerts and connected product features
- Rules that route messages to storage, processing or applications
AWS ecosystem and tooling
Strong specialists work across the wider AWS IoT ecosystem, including AWS IoT Device Management, Device Defender, FleetWise and Greengrass. They also connect IoT Core with Lambda, Amazon Kinesis, Amazon Timestream, DynamoDB, S3 and CloudWatch. Familiarity with AWS Identity and Access Management, CloudFormation or Terraform supports repeatable, controlled delivery.
When companies need specialists
Freelance expertise is useful when a prototype must become a secure production service, when device fleets are expanding, or when message flows are difficult to monitor. Companies may also bring in a specialist to review topic design, reduce operational risk, prepare a migration from a self-managed broker, or connect AWS IoT Core with existing factory and business systems. In Germany, remote collaboration often works well, while industrial deployments may require planned on-site sessions.
Skills that matter
A capable professional understands embedded constraints, MQTT behavior, certificate rotation, policy design and intermittent connectivity. They can define topic hierarchies, choose suitable payload formats, handle retained messages and reconnects, and design failure paths. They should also understand networking, Linux, containers, CI/CD and observability rather than treating IoT Core as an isolated AWS feature.
How to assess delivery quality
Review how the specialist approaches identity, least-privilege access, fleet provisioning and incident response. Ask for a clear device lifecycle, message routing model and test strategy covering unreliable networks and duplicate messages. Good work includes infrastructure as code, useful dashboards, documented runbooks and practical controls for cost, security and data retention. Experience with German industrial environments can help when systems must connect to operational technology and established processes.
Frequently asked questions
Key details about AWS IoT Core, drawn from the questions we get asked most.
AWS IoT Core connects internet-enabled devices with cloud applications and services. Companies use it for telemetry, remote commands, device monitoring, event routing and connected products across industrial, automotive, energy and consumer settings.
AWS IoT Core provides managed device connectivity, AWS identity controls, certificates, rules and integrations without requiring a company to operate its own broker cluster. A self-managed broker can offer more control over runtime behavior or deployment location, but it demands more work for scaling, security and maintenance.
A strong AWS IoT Core specialist often works with embedded systems, MQTT, X.509 certificates, AWS Identity and Access Management, Lambda, Kinesis and infrastructure as code. Knowledge of networking, device firmware, data modeling and observability is also valuable.
The right level depends on device count, security requirements, connectivity conditions and the consequences of missed or duplicated messages. For a production rollout, look for a professional who has handled device identity, fleet onboarding, failure recovery and operational monitoring with AWS IoT Core, not only a proof of concept.
AWS IoT Core can support German manufacturing, logistics, energy and building systems when device connectivity, data flows and operational controls are designed carefully. A specialist familiar with industrial networks and on-site constraints can help bridge cloud services with existing operational technology.
Much of an AWS IoT Core project can be delivered remotely through infrastructure as code, cloud environments, documentation and controlled device test setups. On-site work may still be useful for commissioning hardware, validating factory connectivity or investigating issues that cannot be reproduced away from the facility.
Ask the professional to explain certificate rotation, least-privilege policies, topic design, device provisioning and handling of offline or duplicate messages. High-quality AWS IoT Core work includes tested infrastructure, clear monitoring, documented runbooks and a defined response to security incidents.
AWS IoT Core provides cloud connectivity, authentication and message routing, while AWS IoT Greengrass extends selected capabilities to local devices and edge environments. Projects may use both when devices need local processing or operation during limited connectivity, with IoT Core handling broader cloud integration.
The average hourly rate of freelancers in Germany who have used AWS IoT Core in their recent projects is 119 €, which corresponds to a daily rate of about 953 € based on an 8-hour working day.
Of the freelancers in Germany who have used AWS IoT Core in their recent projects, 89% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Germany who have used AWS IoT Core in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Germany who have used AWS IoT Core in their recent projects are German (100%), English (100%), and Arabic (10%).
The most common industries among freelancers in Germany who have used AWS IoT Core in their recent projects are Information Technology (100%), Banking and Finance (50%), and Automotive (40%).
The most common business areas among freelancers in Germany who have used AWS IoT Core in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (80%).
Main locations of FRATCH Experts, who have recently used AWS IoT Core
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
