Amazon S3 Experts in Stuttgart
in minutes from over 15,000 CVs with the power of AI.Hire experts who design S3 bucket structures, secure data access with IAM and bucket policies, and build storage layers for backups, media, logs, and data pipelines. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Stuttgart, who have recently used Amazon S3
Karin Albiez
Last position:
AI Benchmark Engineer | Native language specialist German at Lilt
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Building realistic task environments using datasets and files in German. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in German.
- Implementation & Verification: Supporting the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Opus).
- Quality Assurance: Participation in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
- Linguistic Review: Reviewing AI benchmark tasks across Hindi, Arabic, Japanese, Chinese, Czech and Turkish.
Sercan Tatar
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: system architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital matchmaking platform that connects relatives of people in need of care directly with verified care services and caregivers - without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of the core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as a solo developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 via presigned URLs for verification of care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and placement process.
- Building an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature-flag architecture.
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operational processes
- Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Professional consulting for the project's security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
- Analysis and resolution of incidents and system outages
- Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
- Professional consulting on BitBucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Artyom Narimanyan
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Robin Sadlo
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Achille Chimi
Last position:
Backend/Frontend Developer at ITZ-Bund
Development of a microservice application for calculating postings on accounts
Development of backend components with Java or JEE, Quarkus, Kafka, Rest API
Development of the test component with mocking frameworks (Mockito)
Development of integration test components
Creation of OpenAPI specification format
Configuration of CI/CD pipeline
Development of frontend components with React
Design, further development and optimization of system structures
Code review
Java Corretto 21, JEE, Quarkus, Golang
Reactive programming with Spring WebFlux, Project Reactor
Git, Azure DevOps for CI/CD pipeline, YAML, Json Swagger UI, Postman, Rest OpenAPI, Kafka Streams, Kafka Connect, Log4J
Microservices, Jira, Confluence, MySQL, Docker, Kubernetes (deployment via Helm charts)
Spring Security, OAuth 2, JWT, Sonarqube
IntelliJ, Maven, logging framework Splunk, Agile method Scrum, Nexus, Vaadin V24, build tool Vite
React, React.JS, Node.js, Jess/JavaScript, Tailwind CSS, Agile method Scrum, accessibility BITV, Playwright
Benjamin Schaich
Last position:
Design and implementation of a new cloud service at Porsche AG
- Design of a new cloud service
- Requirements Engineering
- API Design (REST API, Kafka)
- Consulting on architecture, feasibility and effort estimation
- Implementation of a microservice architecture
- Implementation of a Spring Boot web service
- Development of REST APIs including business and persistence logic
- Kafka consumers and producers
- Various Excel upload/download scenarios
- Change Data Capture
- Cloud provisioning with IaC/Terraform
- Go-live with 30,000 users
- Operation, support and bug fixing for other services
Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers
Hamza Soban
Last position:
Full Stack Engineer at Straiv
- Improved backend performance by 30% and reduced downtime by 25% by optimizing database queries, fixing memory leaks, and implementing advanced monitoring tools.
- Delivered revenue-generating upsell features, integrated Apple/Google Wallet, and streamlined guest check-in/out with a redesigned frontend.
Discover over 15,000 top freelancers
Statistics of experts using Amazon S3
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 15 years)
Position duration
1.6 years (Germany: 1.9 years)
Positions per freelancer
13 (Germany: 12)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Operations, Project Management
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
50% (Germany: 60%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
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 Stuttgart 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 Stuttgart using Amazon S3
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 S3 does
Amazon S3 is object storage for files, media, backups, logs, exports, and data sets that need durable, scalable access. Teams use it to store web assets, archive records, stage analytics data, and serve downloads through AWS services. It fits systems that need simple storage with clear control over access and lifecycle rules.
Common work
- Set up bucket layouts for apps, data lakes, and backup targets
- Define access policies, encryption, and public access controls
- Configure lifecycle rules, versioning, replication, and storage classes
- Connect S3 with CloudFront, Lambda, Athena, Glue, or ETL jobs
- Troubleshoot upload, download, and permission issues
Ecosystem and skills
Strong Amazon S3 specialists know bucket naming, object keys, metadata, IAM, KMS, and event-driven workflows. They also understand the surrounding AWS stack, including CloudFront for delivery, Athena for query access, and Infrastructure as Code tools such as Terraform or CloudFormation. That mix matters when storage must be secure, auditable, and easy to automate.
When companies bring in help
Companies usually seek freelance expertise when S3 is part of a new AWS setup, a migration from file servers or another cloud, or a cleanup of messy storage and permissions. In Stuttgart, this often comes up in manufacturing, mobility, software, and industrial data teams that need reliable storage for operational files and analytics input. Remote work is common, but on-site workshops help when storage design touches many systems.
What strong experts deliver
A good specialist does more than create buckets. They set clear rules for ownership, access, lifecycle, retention, and cost-sensitive storage classes, then make sure apps and pipelines use S3 in a predictable way. They also document recovery paths, cross-account access, and test data handling so teams can maintain the setup later.
How to judge fit
Look for experts who can explain S3 design choices in plain language and tie them to real use cases. They should be comfortable with AWS CLI, SDKs, events, encryption, and troubleshooting access denied errors, CORS issues, or broken integrations. For regulated data or shared environments, ask how they handle auditability and least-privilege access.
Frequently asked questions
Quick answers to the questions that come up most around Amazon S3.
Amazon S3 is mainly used for object storage. Companies rely on it for backups, application files, static content, logs, archives, and data sets that other AWS services process. It is a common choice when teams want simple storage with strong control over access and lifecycle rules.
S3 stores objects, while EBS and EFS are block and file storage. That means S3 is a better fit for media, backups, data lakes, and downloadable content, not for mounting a traditional file system or running a database volume. A strong specialist can explain which service fits the workload and why.
A good Amazon S3 specialist should know IAM, bucket policies, encryption with KMS, versioning, lifecycle rules, and replication. They should also understand how S3 connects to CloudFront, Lambda, Athena, and ETL jobs. If the setup is automated, Terraform or CloudFormation is a useful plus.
A project needs Amazon S3 expertise when storage must be secure, organized, and integrated with other services. That often includes migrations, new AWS foundations, permission cleanup, or data pipelines that depend on reliable object storage. Bringing in a specialist early helps avoid rework later.
Yes, most S3 work can be done remotely because bucket design, policies, and integrations are configured in AWS. On-site sessions in Stuttgart can still help when many internal teams must agree on access, retention, or migration steps. A good freelancer should be able to work well in both settings.
Look for clear explanations, clean access design, and practical examples of how they handle Amazon S3 in real systems. They should be able to discuss naming, security, error handling, recovery, and cost-aware storage classes without vague language. Good work is easy to operate after the freelancer leaves.
The most common Amazon S3 mistakes are overly open permissions, weak bucket naming, missing encryption, poor lifecycle rules, and unclear ownership. Another frequent issue is using S3 like a file server and then fighting the object storage model. A careful specialist prevents those problems early.
For simple tasks, deep S3 knowledge may be enough. For migrations, analytics, delivery, or event-driven systems, broader AWS skills matter because S3 is usually part of a larger flow. The best specialists can connect storage decisions to security, automation, and the rest of the stack.
The average hourly rate of freelancers in Stuttgart, Germany who have used Amazon S3 in their recent projects is 107 €, which corresponds to a daily rate of about 858 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Amazon S3 in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Amazon S3 in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Stuttgart, Germany who have used Amazon S3 in their recent projects are German (100%), English (100%), and French (38%).
The most common industries among freelancers in Stuttgart, Germany who have used Amazon S3 in their recent projects are Information Technology (100%), Automotive (75%), and Banking and Finance (75%).
The most common business areas among freelancers in Stuttgart, Germany who have used Amazon S3 in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (75%).
Main locations of FRATCH Experts, who have recently used Amazon S3
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
