AWS CodeDeploy Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used AWS CodeDeploy
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.
Roxana Girdu
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
Hassan Amjad
Last position:
IT 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.
Banjika Ngo
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
Daniel Boesswetter
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 Federal Environment Agency 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
Michael Yaco
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 Moritzen
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 to 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 infrastructure as code (CDK) and Jenkins (scheduler).
- Conducted comparative model evaluation to address German language needs (Hugging Face versus Anthropic, Cohere, others) and AWS Bedrock.
- Evaluated legal and regulatory considerations, ensuring 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, Product Development, Business Intelligence
Top industries
Information Technology, Professional Services, Banking and Finance
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 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it does
AWS CodeDeploy automates application deployments to EC2, Lambda, and on-premises servers. It helps teams release new versions with less manual work and better control over rollout steps. Companies use it for application updates, rollback plans, and repeatable release processes.
Common deployment styles
- Blue/green deployments for safer releases
- Rolling updates for staged rollout control
- In-place deployments for existing server fleets
- Lambda traffic shifting for function releases
These patterns are useful when change windows are tight or when release risk must stay low.
Tools around it
AWS CodeDeploy usually sits with AWS CodePipeline, CodeBuild, IAM, CloudWatch, and Auto Scaling. Strong professionals know deployment groups, AppSpec files, hooks, and alarm-driven rollback. They also understand how artifact storage in S3 or source control feeds the release flow.
When companies bring help
- A release process is manual or fragile
- Blue/green cutovers need a clean setup
- Deployment hooks must run scripts safely
- Rollback rules are unclear or inconsistent
- AWS permissions or target groups are misconfigured
Freelance expertise is often used for migration work, release hardening, and rescue projects after failed deployments.
Strong specialist skills
A strong AWS CodeDeploy specialist can read application architecture, map it to deployment strategy, and keep the process simple. They should know Linux and Windows target behavior, instance permissions, health checks, and how to troubleshoot failed revisions. In Germany, many teams also value clear written communication for handover and operating notes.
Typical project outcomes
The end result is usually a reliable release path with fewer manual steps and clearer recovery options. That may include deployment scripts, alarm integration, documented rollback steps, and a handoff that other specialists can run. For Amazon CodeDeploy or CodeDeploy work, the goal is controlled delivery, not just a working first deployment.
Frequently asked questions
What clients ask us most about AWS CodeDeploy — answered in short.
AWS CodeDeploy automates software deployments to EC2 instances, Lambda, and on-premises servers. Companies use it to push application revisions, control rollout speed, and reduce manual release steps. It is especially useful when the team wants repeatable deployments with clear rollback behavior.
CodeDeploy handles the deployment action itself, while CodePipeline orchestrates the wider delivery flow. Manual scripts can work for small setups, but they are harder to standardize and recover when something fails. A good specialist knows where CodeDeploy fits and when to combine it with other AWS services.
A strong CodeDeploy freelancer should understand IAM, EC2, Auto Scaling, CloudWatch alarms, and S3 artifact delivery. Linux or Windows server experience helps when deployment hooks need scripts or service restarts. For Lambda releases, knowledge of traffic shifting and release validation is also important.
Even a small AWS CodeDeploy setup can benefit from an experienced specialist if the deployment affects production. If the task is only a basic first setup, lighter experience may be enough. If the work includes blue/green releases, rollback rules, or legacy server fleets, deeper expertise matters more.
If your AWS CodeDeploy process is failing, inconsistent, or only understood by one person, it is time to bring in help. Other signs are unclear AppSpec files, broken hooks, failed permissions, or deployments that cannot roll back cleanly. Teams also seek help when they want to move from manual releases to a controlled release flow.
Yes, CodeDeploy work is often done remotely because most tasks happen in AWS and in configuration files. A freelancer can usually review pipelines, permissions, and deployment scripts without being on site. On-site time only becomes useful when teams need direct workshops, sensitive access coordination, or tight internal handover.
Look for someone who can explain the deployment flow clearly and show how failures are handled. A good AWS CodeDeploy specialist writes clean AppSpec files, uses safe hooks, and tests rollback behavior instead of assuming it will work. Clear documentation and practical troubleshooting examples are strong signs of quality.
Yes, Amazon CodeDeploy is the same service as AWS CodeDeploy. Many people still search under both names, and some shorten it to CodeDeploy. A good freelancer should understand the naming, the service limits, and how it connects to the rest of AWS.
The average hourly rate of freelancers in Germany who have used AWS CodeDeploy in their recent projects is 95 €, which corresponds to a daily rate of about 759 € 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%), Professional Services (71%), and Banking and Finance (57%).
The most common business areas among freelancers in Germany who have used AWS CodeDeploy in their recent projects are Information Technology (100%), Product Development (71%), and Business Intelligence (57%).
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
