CI/CD Experts in Berlin
to ship safer releases with fast, precise AI matchingHire experts who automate build, test and deployment workflows, connect tools such as Jenkins, GitHub Actions and GitLab CI/CD, and improve release reliability across cloud and on-premise systems. FRATCH matches you quickly with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Berlin, who have recently used CI/CD
Chintan P.
Last position:
Product Owner and Technical Product Lead at Sustamize GmbH
LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)
Agentic AI pipeline for automated Scope 3 emissions calculations with 150.000+ validated data records
Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems
ML algorithms for predicting emissions hotspots and optimizing product design
Automated data validation pipelines with NLP for quality assurance of CO₂e datasets
Led a 15-person cross-functional team in developing 10+ AI features
Strategic product planning and AI roadmap with 35% shorter time-to-market
Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)
On-time project delivery with 95% budget adherence through data-driven backlog management
Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% increase in team velocity)
Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)
Oleg A.
Last position:
Staff Software Engineer at Kpler Germany GmbH
- Delivered a new notifications platform implementation built from scratch to replace existing and upcoming services
- Collaborating with other teams to integrate more domains
Tech stack:
- Data: Scala 3, Apache Kafka, Python, Airflow, Astronomer
- BE-FE: TypeScript, NestJS, Java, Spring Boot, Vue
- Dev-ops: AWS, PostgreSQL, Docker, GitHub Actions, Kubernetes, Helm, ArgoCD
Julius H.
Last position:
Freelancer at Freelancer — Pharma Industry
- Led migration to GCP using Terraform, GKE, and GitOps, improving deployment consistency and scalability
- Implemented Datadog observability stack via Terraform and datadog-operator
- Established automated end-to-end tests and on-call processes, improving incident response and service reliability
- Migrated from NGINX Ingress Controller to Kubernetes Gateway API (NGINX Gateway Fabric)
- Migrated stateful services (PostgreSQL and Redis) to GCP, improving scalability and operational reliability
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Tommy S.
Last position:
Process Manager · Order-to-Cash & Automation at EWE Tel GmbH
- Root cause analysis of complex business, technical, and data-related errors in PowerCloud across process, booking, and system boundaries.
- Data-driven management of payments and receivables; contributed to reducing historical receivables from over 100 Mio. EUR to under 25 Mio. EUR.
- Identification of automation and straight-through processing potential at the interface between business departments, IT, and external service providers.
Saman S.
Last position:
AI Product Builder at Instalemon.com
- Architected and built an agentic creative automation platform on Mastra, with a custom RAG pipeline, custom hooks, tools and skills, Chroma for vector storage, and a MongoDB/Express backend.
- Built the agent orchestration layer powering Pixomi's multi-agent workspace, including 72 custom marketing skills, tools and hooks, and a custom context-management pipeline.
- Designed and implemented evals and observability through Mastra studio.
- Onboarded 10 pilot SMB customers producing 10x publish-ready creative output per campaign versus manual production in 3 months.
- Ran customer discovery and pilot feedback loops to shape the roadmap for an AI-native, workflow-based creation platform.
Mukund B.
Last position:
Voice AI Chatbot - Real-Time Audio Assistant
- ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.
Anna M.
Last position:
Freelance Frontend Consultant at Mister Spex
- Developed complex React/TypeScript frontend systems for highly customizable lens products.
- Designed internal tooling for validating and managing product configuration constraints.
- Led accessibility initiatives to align customer-facing applications with EU accessibility requirements.
- Worked extensively in large legacy codebases while incrementally improving maintainability and developer experience.
- Collaborated across multiple teams in an international e-commerce environment.
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Jorge P.
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Marvin M.
Last position:
Co-founder & CTO · Freelance Software Engineer (AI & SaaS) at Self-employed
- Self-employed · Berlin, Germany
- Co-founded the company and own the entire technical side: product architecture, backend, frontend, infrastructure and operations.
- Designed and built the Automated Booking System (ABS) as well as the core platform and payment logic.
- Development of AI-powered SaaS products, from architecture through backend and frontend to production operation.
- Technical consulting on product architecture, data protection and permissible automation.
- Building, running and monetising my own API products for AI agents, each available as a REST interface and as an MCP server.
- Full ownership of architecture, infrastructure, billing, legal texts and go-to-market.
Aruldass A.
Last position:
Web Module Lead at Mphasis Limited
- Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.
Syed A.
Last position:
Senior Software Engineer at Giant Eagle
- Designed and developed AI-powered document processing solutions using Python, OCR, NLP, and Large Language Models (LLMs) to automate extraction, validation, and classification of financial documents, reducing processing time by 75%.
- Built intelligent multi-stage workflow automation pipelines integrating AI services, machine learning models, and enterprise systems to streamline financial operations and improve data quality.
- Developed reusable AI-driven transformation frameworks capable of processing structured and unstructured document formats (XML, CSV, JSON, TXT, DAT) and normalizing them into unified business schemas.
- Designed and developed Python-based REST APIs and backend services supporting enterprise finance applications and high-volume data processing workloads.
- Built scalable data synchronization pipelines between Oracle CFIN and SQL databases, incorporating machine learning models for cash-flow forecasting and AP/AR anomaly detection.
- Architected and deployed Apache Airflow workflows to orchestrate AI-powered data pipelines, automating end-to-end processing from document ingestion through financial system integration.
- Led the migration of critical enterprise integrations from MuleSoft to Python-based services, improving maintainability, performance, and operational flexibility while preserving complete data integrity.
- Managed the full API lifecycle including solution design, implementation, documentation, deployment, monitoring, and production support for mission-critical financial systems.
- Collaborated directly with finance stakeholders to identify business challenges, define solution requirements, and deliver measurable operational improvements through automation and AI-driven workflows.
- Worked closely with cross-functional engineering and business teams to rapidly iterate on features, improve processes, and drive successful adoption of AI-enabled solutions.
- Provided technical leadership through architecture reviews, technology decisions, code reviews, and engineering best practices across integration and automation initiatives.
- Mentored developers, established coding standards, and contributed to improving software quality, maintainability, and delivery effectiveness across projects.
- Provided production support during critical month-end and quarter-close financial processes, performing root-cause analysis and implementing rapid fixes to ensure system reliability and data accuracy.
Jorge N.
Last position:
Senior Developer at SafeXSmart KI Solutions UG
AI Platform Backend – Senior Developer
Brought in to design and build a backend for an AI platform from scratch, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.
Tasks and responsibilities
- Architecture and implementation of a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a single interface.
- Design and development of a backend from scratch in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure setup on Azure.
- Built a real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for live operation of AI influencer personas at scale.
- Developed a media management service with integration of cloud object storage for upload and retrieval of influencer-generated content.
- Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing production error rates.
Tools and technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum
Discover over 15,000 top freelancers
Statistics of experts using CI/CD
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 16 years)
Position duration
2 years (Germany: 2.7 years)
Positions per freelancer
9 (Germany: 11)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
95% (Germany: 92%)
Master's degree or higher
56% (Germany: 58%)
Doctorate
5% (Germany: 8%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
English, German, French
Speak two or more languages
97%
Based on our profile pool as of 9 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin 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 Berlin using CI/CD
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 9 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
CI/CD 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 (95%)
- Banking and Finance (41%)
- Retail (34%)
- Automotive (31%)
- Education (30%)
- Media and Entertainment (29%)
- Professional Services (29%)
- Healthcare (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Delivery pipelines
CI/CD combines continuous integration and continuous delivery or deployment into an automated path from code change to release. It helps teams validate changes early, package applications consistently and move updates through environments with clear controls. The approach supports web services, mobile backends, APIs, data products and internal business systems.
Core workflow
A reliable pipeline usually starts with source control and automated checks. It can build artifacts, run unit and integration tests, scan dependencies, create containers, deploy to staging and promote approved releases. Strong specialists design workflows that are repeatable, observable and safe to stop when a quality gate fails.
- Build and test application changes automatically
- Manage artifacts, containers and environment configuration
- Add approvals, rollback paths and release controls
- Track pipeline results, deployment health and failures
Tools and ecosystems
CI/CD work spans GitHub Actions, GitLab CI/CD, Jenkins, Azure Pipelines and CircleCI. Specialists also work with Docker, Kubernetes, Terraform, Helm, artifact repositories and cloud services from AWS, Azure or Google Cloud. The right toolchain depends on the codebase, infrastructure, compliance needs and team habits.
When to bring expertise
Companies often seek freelance expertise when releases remain manual, test feedback arrives too late or pipelines fail without useful diagnostics. Specialists can establish a delivery foundation, modernize legacy Jenkins jobs, migrate workflows between systems or prepare Kubernetes deployments. They also help internal teams document and maintain the resulting process.
- Repeated deployment errors slow product delivery
- Tests are unreliable, slow or missing from releases
- Infrastructure changes lack review and traceability
- Several teams need a consistent release process
What strong specialists bring
Quality professionals understand both automation and the systems being released. They connect pipeline design with testing strategy, security scanning, infrastructure as code, secrets management, monitoring and incident response. They explain trade-offs clearly and leave maintainable configuration rather than a fragile collection of scripts.
Working with Berlin teams
CI/CD specialists can collaborate remotely or on site with companies in Berlin, depending on access, security and team routines. Effective work requires clear ownership of repositories, environments, credentials and release decisions. German or English communication may matter when specialists coordinate with product, security and operations stakeholders.
Frequently asked questions
Quick answers to the questions that come up most around CI/CD.
CI/CD automates the path from a code change to a tested and deployable release. It helps teams detect defects earlier, reduce manual release work and apply consistent controls across development, staging and production environments.
Continuous integration focuses on merging changes frequently and validating them with automated builds and tests. Continuous delivery extends that process toward release readiness, while continuous deployment can publish approved changes automatically.
A strong CI/CD specialist may work with Jenkins, GitHub Actions, GitLab CI/CD, Azure Pipelines or CircleCI. Useful adjacent skills include Docker, Kubernetes, Terraform, Helm, cloud infrastructure, artifact repositories and secrets management.
The scope matters more than a fixed experience label. A straightforward pipeline may need focused automation skills, while regulated systems, complex Kubernetes environments or large migrations call for a professional who has handled release governance, security and operational failures.
CI/CD work is often well suited to remote collaboration because repositories, pipeline configuration and cloud environments can be accessed securely. On-site work in Berlin may still help when the project involves restricted networks, hardware, workshops or close coordination with local teams.
Share the source-control setup, application stack, deployment targets and current release process. It also helps to define access rules, quality goals, ownership after handover and whether the priority is a new pipeline, a migration or improved reliability.
Look for pipelines that are reproducible, readable, secure and easy to troubleshoot. A capable CI/CD professional can explain test coverage, failure handling, rollback options, secret protection, deployment observability and how the team will maintain the workflow.
Jenkins remains useful when a company needs extensive customization, an established plugin ecosystem or control over its own infrastructure. Managed options such as GitHub Actions and GitLab CI/CD may reduce maintenance, so the decision should reflect existing tools, security requirements and team capability.
The average hourly rate of freelancers in Berlin, Germany who have used CI/CD 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 Berlin, Germany who have used CI/CD in their recent projects, 95% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Berlin, Germany who have used CI/CD in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Berlin, Germany who have used CI/CD in their recent projects are English (100%), German (92%), and French (10%).
The most common industries among freelancers in Berlin, Germany who have used CI/CD in their recent projects are Information Technology (95%), Banking and Finance (41%), and Retail (34%).
The most common business areas among freelancers in Berlin, Germany who have used CI/CD in their recent projects are Information Technology (98%), Product Development (90%), and Quality Assurance (52%).
Main locations of FRATCH Experts, who have recently used CI/CD
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.
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
