AWS Elastic Beanstalk Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used AWS Elastic Beanstalk
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
Deepak Mishra
Last position:
Lead ML Platform Engineer at Billie GmbH
- Mentor team of 6 ML platform engineers through weekly 1:1s, technical design reviews, and best practices, improving team velocity by 35% through structured sprint planning and skill development programs
- Define 2025–2026 ML platform roadmap in collaboration with Data Science, Cloud Engineering, and Product teams, prioritizing automated model governance, cost attribution systems, and multi-environment deployment strategies
- Partner with Data Science, SRE, and Product stakeholders to align ML platform capabilities with business objectives, reducing data scientist deployment friction by 60% through self-service platforms
- Architect and deliver production-grade MLOps platform supporting 50+ models in production with automated promotion pipelines, versioning, and rollback capabilities, achieving 99.5% platform uptime SLA
- Design distributed ML pipeline architecture using Metaflow and Argo Workflows (Vertex Pipelines-compatible), reducing model training time by 30% and deployment cycles from 2 weeks to 3 days through full CI/CD automation
- Build containerized ML services on Kubernetes with auto-scaling policies, resource quotas, and multi-tenancy isolation, optimizing infrastructure costs by $180K annually (25% reduction)
- Implement monitoring, alerting, and performance tracking using Prometheus, Grafana, and custom instrumentation, reducing model debugging time by 50% and establishing model performance SLOs
- Lead development of RAG-based document intelligence platform using LangChain, LangGraph, and vector databases, implementing agentic AI workflows for automated financial document processing
- Implement Infrastructure-as-Code using Terraform for reproducible environment provisioning and GitOps workflows, reducing infrastructure drift incidents by 80%
- Design role-based access control for ML platform, implement model lineage tracking, and establish audit trails for regulatory compliance aligned with enterprise IAM best practices
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
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Jorge Elizondo
Last position:
Bittrich & Bittrich
- Extension and maintenance of the Doktree tax advisory document management tool
- Alfresco and Angular development
- Linux system maintenance
Niklas Grieger
Last position:
Senior Full Stack Developer at L1R1 technologies GmbH
- Migrated the Billomat API integration to InvoiceNinja API, boosting system reliability by 33% for 1300 users.
- Established an ESLint configuration with Husky and lint-staged, resulting in a 23% decrease in code review issues and refined code consistency across 5 repositories.
- Improved team processes by refining the Kanban workflow.
- Optimized frontend performance, built a new CI/CD pipeline, and implemented AWS resource monitoring to strengthen deployment reliability and system observability.
Manish Kumar Jaiswal
Last position:
Freelance Senior Solutions Architect at YoungIT
- Worked with a UK based organisation offering a range of free sexual health services such as STI testing, treatment and contraception across the UK
- Created a Liferay DXP based customer facing portal (version 7.4) over Liferay Experience Cloud
- Designed and developed Liferay modules
- Managed Liferay Experience Cloud and release management
- Coordinated with different teams and helped other team members on Liferay challenges
- Engaged in discussions with business and stakeholders on expectations
- Implemented architectural best practices
Igor Kazarnovskiy
Last position:
Freelance Software Developer
Ivan Vetoskin
Last position:
Senior DevOps Engineer at 58agents
- Provision Kubernetes infrastructure on Azure, GCP, or bare-metal at the hosting provider
- Design and implementation of REST and GraphQL APIs
- Cloud governance (cost, compliance, security)
- Infrastructure-as-Code and CI/CD as code (Terraform, Ansible)
- Container technologies (Docker, Helm)
- Maintain and improve CI/CD pipelines (GitLab CI, GitHub Actions), Argo CD
- Deployment, scaling, and monitoring of microservices
- Distributed event streaming (Kafka)
- Message brokers RabbitMQ, MQTT
- Software development from scratch or further development of existing projects using PHP, Python, Go, C#, and Bash
Ayhan Gezer
Last position:
Senior QA Engineer / Test Automation Engineer / SDET at Rewe digital
Consulting, designing, and implementing the software testing lifecycle for multiple Android apps and backends Introducing test automation with Appium, SpringBootTest, RestAssured Setting up and managing emulators Developing an E2E library, an integration library, a Testcontainers library, and other libraries Developing, implementing, and advising on CI strategies Building the test environment with Testcontainers and virtualization Developing and implementing test cases for integration tests and end-to-end tests Establishing a maintainable test architecture with low entry barriers to simplify the creation of automated tests Some tools and technologies used: JUnit, RestAssured, Testcontainers, Kubedock, Appium, Android emulator, Jira Xray, Mockito, WireMock, Spring Framework, Kotlin
Andreas Schmückert
Last position:
Solution Architect, Business Analyst, Consultant, Full-Stack Lead-Developer at 50Hertz Transmission GmbH
- Solution for micro-service and frontend solution for the electric grid
- Leading of development teams
- Technologies: React-Native, TypeScript, Kotlin, AWS, Infrastructure As Code, Serverless Architecture, React, NoSQL, GraphQL, Angular, Playwright, Python, ML(Ops), Kubernetes, Docker
Michael König
Last position:
Atruvia AG
- Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
- Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
- Writing unit and integration tests with JUnit and JGiven.
- Performing and analyzing performance measurements with Dynatrace.
- Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
- Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.
Nico Meyer
Last position:
Freelance Fullstack Developer at Freelance Fullstack Developer
Tech stack: VueJS / NuxtJS, React / NextJS, AWS, TypeScript, PostgreSQL, MySQL, NoSQL databases, Headless CMS (Contentful, Strapi, Storyblok), Scrum
As an experienced software developer, I offer a wide range of services across various tech areas to meet the needs of modern businesses.
In addition to frontend work, I bring extensive knowledge and experience in using various backend technologies. Using AWS services allows me to design and implement scalable, reliable, and secure infrastructures for web applications.
My expertise also includes using TypeScript to make your application code safer and easier to maintain.
Integrating a headless CMS into modern web architectures is now essential for companies that need a flexible content strategy. With platforms like Contentful, Strapi, and Storyblok, I can help you publish and manage content seamlessly across multiple channels.
My portfolio also includes many other modern tools and practices beyond the ones mentioned.
Mohamed Rwash
Last position:
Software Engineer at Clark
- Led the implementation of a critical backend initiative for the offer teasing feature, resulting in a 10% increase in users actively seeking counter offers.
- Contributed to high-impact features such as instant advice, customer ratings, and automatic contract switching, leading to increased user engagement and conversion rates.
- Built a gRPC service to integrate internal systems with the ERP platform, improving the reliability and observability of data exchange.
- Refactored parts of the legacy Ruby codebase into a more maintainable and scalable Elixir-based architecture.
- Delivered a greenfield project from concept to production on a new stack, integrating with internal services and managing infrastructure setup and deployment.
- Collaborated closely with the front-end team, product managers, and cross-functional team members to ensure the seamless integration of backend features, fostering effective communication and collaboration across disciplines.
- Stack: Ruby, Ruby on Rails, Elixir, OTP, Phoenix, REST, GraphQL, gRPC, PostgreSQL, AWS, Cognito, Lambda, SNS, SQS, Terraform, Helm, Docker, CI/CD, Grafana, Prometheus, Git, Agile Methodology.
Daniel Redwig
Last position:
Software Engineer at DB InfraGO AG
- Developed dynamic web components for displaying KPIs, intelligent map applications, and operational process analysis tools
- Angular 18+
- Leaflet, MapLibre
- NestJS, JavaScript, HTML, CSS
- PostgreSQL, GraphQL, RabbitMQ
- Gitea, Jenkins, Docker
Discover over 15,000 top freelancers
Statistics of experts using AWS Elastic Beanstalk
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Operations
Bachelor's degree or higher
86%
Master's degree or higher
57%
Doctorate
7%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
95%
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 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 Elastic Beanstalk
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
App hosting
AWS Elastic Beanstalk is a managed way to run applications on AWS without building every layer by hand. Teams use it for web apps, APIs, background workers, and service rollouts where they want a simpler path from code to running environment.
What it handles
It creates and manages the core pieces around an app, including the runtime, deployment flow, health monitoring, and scaling settings. Common work covers environment setup, version updates, log review, and rollback planning.
Typical delivery
- Web application environments on EC2
- API deployments behind load balancers
- Configuration for Docker-based workloads
- Blue-green or rolling release setups
- Health checks, logs, and alert readiness
Ecosystem skills
Strong specialists around AWS Elastic Beanstalk usually work across AWS services such as IAM, VPC, S3, CloudWatch, RDS, and ELB. They also know the application stack itself, so deployment issues are traced from infrastructure settings back to code, build steps, or environment variables.
When to bring one in
Companies often hire freelance expertise when a Beanstalk setup becomes hard to maintain, migrations stall, or deployments start failing in subtle ways. That is common in Germany too, especially for product teams that need remote support but still want clear communication during release windows.
What strong experts do
- Diagnose environment drift and bad configuration
- Improve deployment safety and rollback paths
- Align Beanstalk with security and access needs
- Keep logs, metrics, and alerts useful
- Explain trade-offs versus ECS, EKS, or Lambda
A good AWS Elastic Beanstalk specialist does more than click through the console. They can read the platform’s defaults, know when to keep them, and know when to step outside them for better control.
Frequently asked questions
Questions about AWS Elastic Beanstalk? Start with the answers below.
AWS Elastic Beanstalk is used to deploy and run web apps, APIs, and worker services on AWS with less manual setup. It suits teams that want managed deployment, scaling, and monitoring without wiring every EC2 and load balancer detail themselves. Many projects use it for steady application hosting rather than highly custom infrastructure.
Elastic Beanstalk sits in a simpler middle ground. Compared with ECS or EKS, it hides more of the container and cluster management work; compared with Lambda, it fits long-running web services better. The best choice depends on how much control the team needs and how much platform work it wants to own.
A strong AWS Elastic Beanstalk specialist should know AWS basics, deployment pipelines, and the application stack being hosted. Look for experience with IAM, VPC, CloudWatch, S3, RDS, and the runtime your app uses, because most issues sit across those layers. The right person can explain why a deployment failed, not just restart the environment.
Freelance help is useful when an environment is unstable, scaling behaves oddly, or a migration to or from Beanstalk is blocking delivery. It also helps when a team needs a clean setup for a new app, safer release patterns, or a review of an old environment that has grown messy. Short, focused support often solves these problems faster than broad internal effort.
Yes, AWS Elastic Beanstalk works well for teams in Germany that want fast deployment support with clear AWS ownership. Many companies use remote specialists, especially when the stack, release process, and AWS account setup matter more than physical presence. On-site work can still help during launch phases or when business and technical teams need close coordination.
Amazon Elastic Beanstalk work often comes with skills in Linux, networking, Docker, CI/CD, and observability. Many specialists also know Terraform or CloudFormation, because infrastructure changes around the platform still need versioned, reviewable control. If the app uses a database, RDS tuning and backup planning often matter too.
A good AWS EB specialist gives clear reasoning for each setting, not just a working environment. They should show how they handle logs, health checks, deployment strategy, secrets, and rollback steps. Quality is visible when the setup is easy to operate after they leave.
A serious Elastic Beanstalk freelancer should ask about the app type, runtime, deployment process, environment count, and AWS services already in use. They also need to know how releases are approved, who owns security changes, and what problems happened before. Those answers show whether the job is a simple setup or a deeper platform repair.
The average hourly rate of freelancers in Germany who have used AWS Elastic Beanstalk in their recent projects is 92 €, which corresponds to a daily rate of about 738 € based on an 8-hour working day.
Of the freelancers in Germany who have used AWS Elastic Beanstalk in their recent projects, 86% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Germany who have used AWS Elastic Beanstalk in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used AWS Elastic Beanstalk in their recent projects are German (100%), English (95%), and Spanish (10%).
The most common industries among freelancers in Germany who have used AWS Elastic Beanstalk in their recent projects are Information Technology (100%), Banking and Finance (60%), and Automotive (55%).
The most common business areas among freelancers in Germany who have used AWS Elastic Beanstalk in their recent projects are Information Technology (100%), Product Development (85%), and Project Management (60%).
Main locations of FRATCH Experts, who have recently used AWS Elastic Beanstalk
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
