
GitLab Experts in Berlin
matched in minutes from over 15,000 CVs with the power of AIHire experts who manage GitLab repositories, CI/CD pipelines and secure software delivery workflows. Work with vetted, available freelancers matched precisely to your requirements, whether you need support for a migration, platform rollout or complex delivery process.
Meet FRATCH Experts in Berlin, who have recently used GitLab
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.
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
Deepak M.
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
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
Benjamin F.
Last position:
Freelance Product Manager, Product Owner, Scrum Master & Agile Coach at Freelance
Freelance product owner, scrum master and agile coach in various projects spanning from local agencies to multinational corporations in diverse industries.
Last projects:
Adevinta: Technical Project Manager responsible for coordination of several sub-workstreams building the world’s largest classifieds multi-tenant platform.
Aroundhome (a ProSiebenSat.1 company): Product Manager implementing and verifying on the business side a concept for digital qualification of user requests for matching service providers.
Peek & Cloppenburg Düsseldorf: Product Manager Mobile advising on and guiding the rebuild of Android and iOS apps.
Visual Meta GmbH (an Axel Springer company), Berlin: Director Product co-leading the Product & Engineering department together with the Director Engineering.
Responsibilities at Visual Meta GmbH:
Define and deliver a 3–5 year horizon product strategy including a product vision & mission connecting to existing company strategy and strategies from adjacent departments.
Refine an existing OKR process together with OKR master and directors of other departments to increase focus and outcome.
Support the Director Engineering in creating a platform transformation strategy to transform a monolithic on-premise tech stack into a service-oriented, cloud-based architecture and establish a domain-based organizational setup.
Accountability for a motivated and talented team of 5 head-level colleagues and 17 operational team members from product management, data and UX/UI design.
Key achievements at Visual Meta GmbH:
Defined and delivered a 3–5 year horizon product strategy including a product vision & mission.
Increased focus within OKR process by moving from 10 company-level objectives to 2 and from several hundred team-level key results to a few dozen.
Created a career path framework for the product team defining roles and responsibilities from junior to head level positions.
Murad H.
Last position:
Founder & Technical Lead at Hubpoint.Ai
- Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
- Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
- Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
- Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
- Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.
Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Imran A.
Last position:
Software Engineer II at LivePerson Germany GmbH
- Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
- Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
- Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
- Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
- Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
- Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.
Abhiroop B.
Last position:
Software Engineer III at Foundry Digital
- Developed and deployed microservices in Kotlin and Spring Boot, integrated AWS Secrets Manager to secure credentials and decreased network calls using Spring cache.
- Refactored Kafka consumer using Spring Kafka with semaphore-based backpressure to cap records and keep heap memory stable under spikes; switched to batch upserts to cut down on database invocations; added Testcontainers integration tests for Kafka and database to pave the way for future changes.
- Automated the financial reconciliation workflow in Spring Boot (Kotlin) using Spring Scheduler, transactional boundaries, JPA/Hibernate on MySQL, and Flyway migrations, saving the accounts team 16+ hours per week.
- Designed and dockerized payments end-to-end test framework in Robot (Python) with reusable keyword libraries and profiles; integrated with GitLab CI (JaCoCo XML and HTML reports) to accelerate releases and lift code coverage to 80%.
- Implemented end-to-end observability on Datadog by instrumenting services with Datadog APM, correlating metrics and logs, provisioning dashboards, and creating monitors with burn-rate alerts and anomalies to harden reliability and give stakeholders clear visibility.
Tobias L.
Last position:
Data Engineer at unitb consulting GmbH
Tasks: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.
Activities:
- Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
- Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
- Developed automated data pipelines with Python, dbt, and GCP services for different data sources
- Built monitoring and alerting systems for real-time platform monitoring
- Implemented data versioning and quality checks at every layer
- Designed automated test and deployment pipelines in GitLab and Bitbucket
Achievements:
- 2× production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
- Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, configuration errors to 0
- Delivered a complete end-to-end data platform at ~€10/month infrastructure cost
- Migrated 7 database tables with 0 downstream issues
- Removed 100% exposed credentials, eliminated external vendor dependency
- Delivered integration of 3 teams in 1 sprint
Ola V.
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Jan K.
Last position:
Data Expert at Manufacturing
Discover over 15,000 top freelancers
Statistics of experts using GitLab
Aggregated from the professional profiles of matched freelancers.
Experience
17 years

Position duration
1.9 years (Germany: 5.1 years)

Positions per freelancer
11 (Germany: 13)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Media and Entertainment

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
92% (Germany: 89%)
Master's degree or higher
43% (Germany: 53%)
Doctorate
5% (Germany: 9%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
English, German, Spanish

Speak two or more languages
98% (Germany: 97%)
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 Berlin 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 Berlin using GitLab
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.
GitLab 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 (98%)
- Banking and Finance (40%)
- Media and Entertainment (40%)
- Retail (35%)
- Professional Services (33%)
- Automotive (31%)
- Education (31%)
- Manufacturing (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GitLab provides
GitLab is a web-based platform for source control, collaboration and software delivery. Built around Git repositories, it brings planning, code review, continuous integration, security checks and deployment into one application. Teams use GitLab to create a traceable workflow from an idea to a running service.
Core delivery workflows
GitLab supports merge requests, protected branches, issue tracking, release management and automated pipelines. Its CI/CD features can test, package and deploy applications across cloud, on-premises and hybrid environments. Strong configurations make delivery repeatable while preserving approvals, audit trails and rollback options.
Ecosystem and tooling
Professionals work with GitLab Runner, Docker, Kubernetes, Helm, Terraform and major cloud services. They connect GitLab with registries, artifact stores, identity providers, monitoring tools and security scanners. Familiarity with YAML pipeline configuration, Git workflows, APIs and infrastructure automation is often central to the work.
Where companies use it
- Standardising delivery across several application teams
- Moving repositories and pipelines from GitHub, Bitbucket or Jenkins
- Building secure CI/CD workflows for regulated environments
- Automating container builds and Kubernetes releases
- Creating reusable templates for software teams
GitLab appears in SaaS products, financial services, manufacturing, public-sector projects and internal business systems. In Berlin, companies often combine remote collaboration with local workshops, governance sessions or platform enablement work.
When freelance expertise helps
Companies bring in a GitLab specialist when an existing setup has grown inconsistent, pipeline failures slow releases or teams need a controlled migration. Freelancers can assess the current architecture, define repository standards, implement runners and templates, strengthen access controls, and document a maintainable operating model.
What strong specialists deliver
The best professionals understand more than GitLab syntax. They connect delivery goals with branching strategy, testing, security, infrastructure and team habits. Look for clear pipeline designs, practical documentation, careful permission models and evidence of reliable migrations or production rollouts. For Berlin-based collaboration, confirm availability for on-site sessions and the language needed by stakeholders.
Frequently asked questions
Curious about GitLab? Here are the answers that come up again and again.
GitLab is used to host Git repositories and coordinate the software delivery lifecycle. Companies use it for planning, code review, CI/CD automation, security testing, package management and deployment.
GitLab combines repository hosting with a broad set of planning, delivery and security features in one product. GitHub and Bitbucket can offer comparable core workflows, so the right choice depends on existing integrations, governance needs, team preferences and the desired level of platform consolidation.
A strong GitLab freelancer commonly brings Git, YAML, Docker, Kubernetes, Terraform and cloud experience. Knowledge of Linux, identity management, security scanning, networking and observability is also valuable for reliable production workflows.
The required depth depends on the scope. A pipeline adjustment may need focused workflow knowledge, while a GitLab migration or self-managed installation calls for experience with runners, permissions, storage, integrations, backups and rollout planning.
Yes. GitLab is designed around distributed collaboration, and many tasks can be completed remotely through repositories, issues, merge requests and documentation. Berlin teams should agree on workshop attendance, overlap hours, communication language and access procedures before work begins.
GitLab can be a strong alternative when a company wants source control, review, CI/CD and security workflows closely connected. Jenkins remains flexible and has a wide plugin ecosystem, but it may require more separate tools and ongoing integration work.
Ask for examples of pipeline design, migration planning and incident handling rather than only a list of features. A capable GitLab professional explains trade-offs, uses protected environments and secrets safely, documents decisions, and makes workflows understandable to the teams who maintain them.
GitLab work can range from repository administration and CI/CD design to security automation and platform enablement. Freelancers should be comfortable translating business requirements into maintainable workflows, collaborating through merge requests, and adapting their approach to self-managed or hosted installations.
The average hourly rate of freelancers in Berlin, Germany who have used GitLab in their recent projects is 96 €, which corresponds to a daily rate of about 769 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used GitLab in their recent projects, 92% hold at least a Bachelor's degree, 43% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Berlin, Germany who have used GitLab in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Berlin, Germany who have used GitLab in their recent projects are English (98%), German (95%), and Spanish (11%).
The most common industries among freelancers in Berlin, Germany who have used GitLab in their recent projects are Information Technology (98%), Banking and Finance (40%), and Media and Entertainment (40%).
The most common business areas among freelancers in Berlin, Germany who have used GitLab in their recent projects are Information Technology (98%), Product Development (86%), and Project Management (53%).
Main locations of FRATCH Experts, who have recently used GitLab
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.
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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