AWS CodeDeploy Experts in Germany
matched in minutes from over 15,000 CVsHire experts who automate application releases, configure blue-green and rolling deployments, and connect CodeDeploy with AWS pipelines, EC2, Lambda and Amazon ECS. FRATCH matches you quickly with precise, vetted and available freelancers.
Meet FRATCH Experts in Germany, who have recently used AWS CodeDeploy
Hassan A.
Last position:
DevOps & Observability Consultant at ALDI South (Albrecht's Discount)
- Supporting the DevOps team in Terraform-managed, multi-region AWS infrastructure to achieve environment parity.
- Developed end-to-end CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating the build and deployment.
- Maintained pre- and post-deployment scripts to automate critical tasks such as database schema migrations and environment sanity checks.
- Implemented CI/CD flow specifically for hotfixes via separate Git branches, managing back-merge activities from feature branches to release branches to ensure code integrity through automated conflict resolution.
- Deployed a dedicated, lightweight sanity check application hosted cost-effectively on Azure Container Apps to run automated health and basic functional checks as a post-deployment activity triggered via pipeline.
- Investigated production incidents through code changes and AWS CloudWatch logs.
- Coordinated integration of Dynatrace APM and its APIs for monitoring purposes.
- Full stack QA strategist for a high-traffic e-commerce platform built on a layered architecture for the back-end testing of core platform services, especially the order management system in Zed and Glue layers.
- Managed automation activities, testing process, and refactoring practices.
- Responsible for framework migrations, setup, and training for new automation frameworks.
- Promoted a shift-left approach within the QA team and created the test concept.
- Participated in meetings with IT managers, business owners, product owners, and team members.
- Designed and implemented contract testing to validate API schema compatibility between the order management system and the Zed and Glue layers, reducing production-relevant breaking changes by approximately 3%.
- Led the migration to a multi-environment framework that enabled test execution across 4 country configurations from a single codebase.
- Integrated automated unit and functional tests directly into the GitLab CI/CD pipeline, reducing pipeline runtime by 32%.
- Coached and trained 5 QA engineers across Germany and Hungary in test automation, framework architecture, and best practices.
- Architected a layered backend test automation framework separating business logic, API request builders, and the database layer.
- Piloted AI-assisted testing with Playwright Agents, the Playwright MCP Server, and GitHub Copilot for automated test generation, execution, and self-healing Playwright scripts.
Daniel B.
Last position:
Senior Cloud Consultant and Developer at SDIA/Leitmotiv
- Consulting an NGO in the field of data center sustainability in publicly funded projects (BMUKN with NADIKI and Umweltbundesamt with SIEC)
- Development of Python APIs and web applications, deployment on AWS/ECS with Terraform
- Collecting power consumption metrics for servers, CPUs, GPUs running AI workloads
- Technologies used: AWS, EC2, ECS, Fargate, CloudMap, VPC, Route53, Lambda, EventBridge, CodeBuild/CodePipeline/CodeDeploy, Terraform, Docker, Linux, Bash scripting, Python, Flask, SQLAlchemy, SQL, MariaDB, InfluxDB, Telegraf, Prometheus, Zabbix, Kubernetes, Letsencrypt, certificate management
Roxana G.
Last position:
Freelance Senior Frontend Developer at RHI Magnesita
- Designed and developed a high-performance internal resource management platform using React and TypeScript, optimizing dynamic data rendering and state management.
- Built a React Native application to support mobile access to internal tools, enabling on-the-go project tracking for field teams.
- Developed custom 2D canvas-based visualizations using Pixi.js to simulate material flows and refractory layer behaviors.
- Integrated Pixi.js with React components for interactive diagrams and real-time UI updates.
- Developed interactive 3D visualizations using React.js for displaying refractory product layouts and simulations, supporting engineering and sales teams with dynamic product previews.
- Integrated Three.js within the React ecosystem to allow manipulation of 3D models in real-time via browser, enhancing user engagement and field configurability.
- Integrated a headless CMS to enable dynamic content updates by non-technical users, reducing content deployment time by 40%.
- Led AWS CloudFront optimization initiatives, improving portal load speeds by 30% globally.
- Actively collaborated with cross-functional Agile teams and product owners to deliver prioritized features with a fast feedback loop.
- Key Technologies: React.js, React Native, Three.js, TypeScript, Contentful CMS, AWS S3/Lambda/CloudFront, Cypress, Agile Scrum
Banjika N.
Last position:
Freelance | AWS Authorized Instructor at Go Courses
- Delivered AWS-authorized content through AAI program
- Facilitated group and 1-on-1 mentorship sessions
- Coached non-technical learners into cloud career paths
- Created learning materials aligned with AWS Skill Builder and AWS Academy labs
Tan P.
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.
Michael Y.
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Kay M.
Last position:
NGO, German Party
- Built advanced expertise in designing and deploying Model Context Protocol (MCP) infrastructures to enhance AI agent capabilities for an NGO.
- Developed and maintained MCP servers (e.g., using FastMCP) exposing external tools and data sources to LLMs via a standardized API (JSOB).
- Enabled seamless tool integration by adhering an MCP client-server architecture, allowing AI hosts or agents to dynamically discover and invoke tools, access resources, and leverage custom prompts (File Storage, SQL DBs, weaviate, chroma).
- Automated deployment (CI/CD) in AWS with IaC (CDK) and Jenkins (scheduler).
- Conducted comparative model evaluation due to German language needs (Hugging Face over Anthropic, Coehere, others) and AWS Bedrock.
- Evaluated legal and regulatory aspects, ensuring the MCP-based solutions complied with emerging EU AI Act requirements, such as risk classification, transparency, documentation, and responsible tool provisioning within the European context.
Discover over 15,000 top freelancers
Statistics of experts using AWS CodeDeploy
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.1 years
Positions per freelancer
16
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
100%
Master's degree or higher
83%
Doctorate
17%
Certifications per freelancer
5
Most common languages
German, English, Arabic
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using AWS CodeDeploy
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AWS CodeDeploy 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 (57%)
- Professional Services (57%)
- Retail (57%)
- Automotive (43%)
- Education (43%)
- Government and Administration (43%)
- Aerospace and Defense (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What CodeDeploy does
AWS CodeDeploy is an AWS service for automating application deployments to compute environments such as Amazon EC2, on-premises servers, AWS Lambda and Amazon ECS. It coordinates artifact delivery, lifecycle hooks, traffic shifting and rollback so releases follow a repeatable process instead of manual server changes.
Deployment models
CodeDeploy supports in-place deployments, where an existing environment is updated, and blue-green deployments, where traffic moves to a newly prepared environment. Deployment configurations control the pace of rollout and the acceptable failure level. For Lambda and ECS, traffic can shift gradually between application versions.
Ecosystem and tooling
Strong work with AWS CodeDeploy depends on understanding its surrounding AWS services and release tooling.
- Create AppSpec files and lifecycle hooks
- Package artifacts in Amazon S3 or connect source repositories
- Integrate CodePipeline, CodeBuild and CloudWatch
- Manage IAM roles, deployment groups and target discovery
- Automate setup with CloudFormation or Terraform
Where companies use it
Teams use CodeDeploy for web applications, APIs, background services and serverless functions that need controlled releases across development, staging and production. It fits systems running on EC2 fleets, ECS services, Lambda functions and hybrid infrastructure. German companies may also use local or remote specialists to coordinate releases across distributed teams and operational environments.
When expertise matters
Freelance expertise is useful when a release process is unreliable, a migration is moving workloads into AWS, or deployment risk is slowing delivery.
- Replace manual server releases with repeatable automation
- Introduce blue-green releases and automated rollback
- Connect deployment events to monitoring and incident response
- Standardize releases across accounts, regions and environments
Strong professional practice
A strong AWS CodeDeploy professional designs the deployment flow around the application, not only the service configuration. They validate AppSpec files, hooks, permissions, health checks and rollback paths, then document how teams operate the release process. They also know when CodeDeploy is a better fit than native ECS, Lambda or Kubernetes deployment patterns and can explain the trade-offs clearly.
Frequently asked questions
What clients ask us most about AWS CodeDeploy — answered in short.
AWS CodeDeploy automates the release of application files and updated versions to EC2 instances, Lambda functions, ECS services and supported on-premises hosts. It can run lifecycle scripts, shift traffic, monitor deployment health and roll back a failed release.
AWS CodeDeploy performs the deployment stage, while CodePipeline coordinates a broader delivery workflow across source, build, testing and release stages. They are commonly used together, but CodeDeploy can also be triggered by other automation tools or direct commands.
An AWS CodeDeploy specialist should understand IAM, Amazon EC2, Lambda, ECS, S3, CloudWatch and networking basics. Experience with CodePipeline, CodeBuild, CloudFormation, Terraform, shell scripting and Git makes it easier to create a complete release process.
The right level depends on the deployment model, application risk and existing AWS setup. A straightforward EC2 rollout may need focused configuration skills, while multi-account releases, blue-green traffic shifting, hybrid targets or complex rollback rules call for a professional who has designed and operated comparable systems.
AWS CodeDeploy is well suited to remote collaboration because deployment definitions, logs and infrastructure configuration can be reviewed in shared repositories and AWS accounts. For German teams, clear documentation, agreed release windows and comfortable communication in English or German help remote and on-site professionals work effectively.
AWS CodeDeploy is often a practical choice for EC2, Lambda and ECS workloads that do not need Kubernetes orchestration. Kubernetes teams may prefer tools such as Argo CD or built-in rollout mechanisms when cluster-native deployment control, reconciliation and Kubernetes resource management are central requirements.
Ask how the AWS CodeDeploy professional handles failed hooks, unhealthy targets, permissions, observability and rollback. Strong answers include deployment diagrams, tested recovery paths, least-privilege IAM, useful CloudWatch signals and documentation that another team member can operate.
Before starting with AWS CodeDeploy, clarify the target compute service, artifact source, account structure, deployment strategy and ownership of AWS permissions. Confirm whether the work covers only deployment configuration or also infrastructure, pipeline integration, monitoring, release governance and support after rollout.
The average hourly rate of freelancers in Germany who have used AWS CodeDeploy in their recent projects is 94 €, which corresponds to a daily rate of about 755 € based on an 8-hour working day.
Of the freelancers in Germany who have used AWS CodeDeploy in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Germany who have used AWS CodeDeploy in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used AWS CodeDeploy in their recent projects are German (100%), English (100%), and Arabic (14%).
The most common industries among freelancers in Germany who have used AWS CodeDeploy in their recent projects are Information Technology (100%), Banking and Finance (57%), and Professional Services (57%).
The most common business areas among freelancers in Germany who have used AWS CodeDeploy in their recent projects are Information Technology (100%), Operations (71%), and Product Development (71%).
Main locations of FRATCH Experts, who have recently used AWS CodeDeploy
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
