AWS CodeBuild Experts in Germany
, matched in minutes with vetted, available specialistsHire experts who configure managed build environments, connect CodeBuild with AWS CodePipeline and automate tests, packaging and deployments. FRATCH matches you quickly and precisely with vetted, available freelancers for your delivery goals.
Meet FRATCH Experts in Germany, who have recently used AWS CodeBuild
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.
Artyom N.
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
Thorsten B.
Last position:
Senior Backend Engineer at VTG Rail Europe
traigo is VTG's digital rail logistics and fleet management platform. It processes large volumes of telemetry, mileage, geofence, sensor and wagon-movement events in near real time and provides operational services for rail logistics customers across Europe.
As part of Team Customer Selfcare, I worked on the design, implementation, optimisation and operation of large-scale backend services and event-driven processing pipelines — covering both feature development and operational ownership of business-critical production systems. I also regularly acted as first responder for production incidents, data inconsistencies and performance investigations across multiple distributed services.
- Design and implementation of event-driven backend services.
- Migration and replacement of legacy processing pipelines.
- Development of replay / rebuild mechanisms for large event datasets.
- High-throughput asynchronous event processing on SNS / SQS.
- Database and query optimisation for PostgreSQL and DynamoDB.
- Design of scalable read / write models and aggregation pipelines.
- Production troubleshooting and operational support.
- Performance tuning and infrastructure scaling.
- Design and stabilisation of integration and system tests.
- Technical concepts, architecture documentation, and cross-team collaboration.
- Support the further development of existing GitLab CI/CD pipelines
Geofence & Wagon Stay Processing
- Algorithm to detect vehicles within geofences (entry, exit, dwell time).
- Event sourcing with guaranteed chronological order within the affected time window.
- Refactored geofence event and wagon-stay processing logic for performance.
- Resolved race conditions and event-ordering problems in distributed services; server-side filtering, aggregation and optimised query pipelines.
- Repair and replay tooling for corrupted or inconsistent movement data.
Fleet Metadata & Mileage
- Modernised the service; migrated storage from DynamoDB to PostgreSQL to improve traceability and accelerate new features.
- Scalable mileage aggregation and replay mechanisms.
- Read / write models and optimised queries for high-volume mileage calculations.
Sensor & Telematics Integration
- Integrated telemetry and sensor processing pipelines.
- Snapshot and state-calculation logic for sensor systems.
- APIs and persistence models for wagon sensor data; data-quality improvements.
- Further development of a service using gRPC for intra-service communication.
Movement Segment Processing & Routing
- Migrated services to new movement-segment event streams.
- Built replay and rebuild tooling for segment correction.
- Optimised throughput and reliability for high-volume event processing.
Condition Monitoring & Wagon Analytics
- APIs and backend services for wagon condition monitoring.
- Brake-wear prediction processing and wagon analytics functionality.
- PostgreSQL views and optimised query models for operational dashboards.
Operational Reliability - First Responder
- Investigated production incidents and distributed-system failures; DLQ analysis, replay and operational recovery.
- Tuned database performance and AWS infrastructure under production load.
- Improved observability, monitoring and operational tooling.
- Supported rollout strategies, monitoring and post-deployment stabilisation.
Jan K.
Last position:
Data Expert at Manufacturing
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
Igor K.
Last position:
Freelance Software Developer
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.
Alexey G.
Last position:
Cloud Architect & DevOps, Head of Architecture at ProSiebenSat.1 Digital GmbH / Seven.One Entertainment Group GmbH
- Co-authored enterprise cloud strategy including security and governance frameworks for 5 subsidiaries, and implemented part of the governance automation.
- Performed regular cloud cost optimization reviews across 10 teams resulting in ~20% cost reduction.
- Led the technology selection for the migration of in-house CIAM for 25M+ accounts to a SaaS solution, and worked with the product team through the migration.
- Supervised the technology selection and designed the architecture and delivery pipelines for the multi-tenant digital news and sports publishing platform, enabling ~250 editors within ~6 months of development start.
- Led the implementation of a multi-brand design system from idea and technical concept to implementation and rollout, enabling rapid UI prototyping for new products in a matter of hours.
- Managed a team of 4 architects and accelerated the professional growth of team members.
- Technologies: AWS cloud, Microservices, Docker, Python, Kafka, JavaScript, TypeScript, React.js, Node.js, GraphQL, REST, Gitlab CI, Visual Studio Code, git.
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.
Vitalij B.
Last position:
Cloud Engineer at amplimind (Jointventure by Audi & Lufthansa Industry)
- Designed a hybrid AWS platform combining 10+ ECS Fargate microservices (Spring Boot) and Angular/React frontends with a serverless ETL pipeline based on Lambda, S3, SQS/SNS and DynamoDB
- Built a serverless notification service (Lambda + SNS/SQS) enabling event-driven workflows across microservices
- Automated all infrastructure using AWS CDK v2 with reusable constructs that significantly reduced provisioning time
- Implemented blue/green & canary deployments via GitHub Actions and CodePipeline for safe, repeatable releases
- Strengthened observability via CloudWatch and OpenSearch dashboards, alerts and standard runtime checks
- Developed backend services in Java (Spring Boot) and TypeScript with clean REST APIs for modern SPAs
Massimiliano G.
Last position:
Founder and Managing Director, SoC Integration Engineer at PlanV
- CVA6 MMU: formal verification using SVA
- CVA6 subsystem: IP integration, verification (UVM)
- Tightly coupled cache coherence for CVA6: RTL design and verification (SystemVerilog), FPGA prototyping (IP integration - CPU, LLC, DDR, Eth), Linux
- Verification of a laser controller on FPGA (medical, VHDL, VUnit, Python, C++ for Microblaze)
- Fault injection emulation on FPGA (SystemVerilog)
Discover over 15,000 top freelancers
Statistics of experts using AWS CodeBuild
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.3 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Education
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
100%
Master's degree or higher
75%
Doctorate
13%
Certifications per freelancer
4
Most common languages
German, English, Russian
Speak two or more languages
92%
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 CodeBuild
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 CodeBuild 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 (92%)
- Automotive (54%)
- Education (38%)
- Transportation (38%)
- Manufacturing (38%)
- Retail (38%)
- Aerospace and Defense (31%)
- Banking and Finance (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What CodeBuild does
AWS CodeBuild is a fully managed build service for compiling source code, running tests and producing deployable artifacts. It executes build commands without requiring a company to maintain build servers. Teams can connect repositories, define build steps and scale execution around delivery demand.
Core workflow
A CodeBuild project combines source settings, compute configuration, environment variables, IAM permissions and build instructions. The buildspec.yml file describes phases such as install, pre-build, build and post-build. Results can be stored in Amazon S3, container registries or other release destinations.
AWS ecosystem
CodeBuild fits closely with AWS delivery services and common source-control tools. Strong specialists work with:
- AWS CodePipeline for build and release orchestration
- Amazon ECR and ECS for container image delivery
- S3, CloudWatch Logs and IAM for storage, monitoring and access
- GitHub, Bitbucket and AWS CodeCommit source integrations
When expertise helps
Companies bring in freelance specialists when existing pipelines are slow, fragile or difficult to audit. They can migrate from self-managed runners, standardize buildspec files or introduce secure paths for container and serverless releases. In Germany, this expertise often supports teams coordinating remote delivery with internal infrastructure and security groups.
Typical deliverables
A specialist may design reusable CodeBuild projects, optimize dependency caching and separate build environments by branch or stage. Other deliverables include test reporting, artifact retention, deployment handoffs and infrastructure managed through CloudFormation, CDK or Terraform. Clear documentation helps internal teams operate the setup after handover.
Strong specialist profile
Good CodeBuild professionals understand both build execution and the systems around it. They know how to troubleshoot failed phases, permission errors, network access and inconsistent runtime images. They also define least-privilege IAM policies, protect secrets, monitor build output and explain trade-offs clearly to stakeholders, whether collaboration is remote or on-site.
Frequently asked questions
Everything clients usually want to know about AWS CodeBuild, in one place.
AWS CodeBuild is used to compile source code, run automated tests and create artifacts such as packages or container images. It provides managed build environments that can feed release workflows through services such as CodePipeline, ECS, Lambda and Amazon ECR.
AWS CodeBuild is a managed AWS service, so teams do not need to operate persistent build agents. Jenkins offers broad customization but requires more infrastructure care, while GitHub Actions is closely integrated with GitHub repositories. The right choice depends on cloud boundaries, governance, portability and existing workflow investments.
A strong AWS CodeBuild specialist usually understands IAM, CloudWatch, S3, ECR, CodePipeline and networking within AWS. Experience with Docker, Linux, Git, CloudFormation, CDK or Terraform is also valuable when builds must be reproducible and managed as infrastructure.
The required depth depends on the workflow. A straightforward build may need configuration experience, while a regulated or multi-account setup calls for a specialist who can design permissions, networking, artifact controls, observability and failure recovery. Ask for examples of comparable CodeBuild pipelines rather than relying on a generic skills list.
AWS CodeBuild work is often suitable for remote collaboration because configuration, logs and infrastructure definitions can be reviewed online. On-site sessions may still help with security reviews, legacy migrations or workshops involving several German teams. Agree on documentation, access procedures and communication language early.
Ask how the specialist handles failed builds, secret protection, dependency caching and least-privilege access. A capable AWS CodeBuild professional can explain buildspec choices, show how logs and alerts are structured, and describe how another team will maintain the solution after handover.
CodeBuild can build and test Docker images, publish them to Amazon ECR and pass artifacts into deployment workflows. It also supports packaging applications for services such as Lambda. The specialist should align the build environment, permissions and artifact format with the target runtime.
A freelancer working with AWS CodeBuild should clarify repository access, buildspec ownership, runtime images, required AWS accounts and the expected release path. It also helps to establish who owns IAM changes, pipeline approvals, incident response and documentation once the engagement ends.
The average hourly rate of freelancers in Germany who have used AWS CodeBuild in their recent projects is 99 €, which corresponds to a daily rate of about 788 € based on an 8-hour working day.
Of the freelancers in Germany who have used AWS CodeBuild in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Germany who have used AWS CodeBuild in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used AWS CodeBuild in their recent projects are German (100%), English (92%), and Russian (31%).
The most common industries among freelancers in Germany who have used AWS CodeBuild in their recent projects are Information Technology (92%), Automotive (54%), and Education (38%).
The most common business areas among freelancers in Germany who have used AWS CodeBuild in their recent projects are Information Technology (100%), Product Development (69%), and Operations (62%).
Main locations of FRATCH Experts, who have recently used AWS CodeBuild
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
