GitOps Experts in Berlin
in minutes from over 15,000 CVs with the power of AIHire experts who set up Git-based delivery flows, Kubernetes deployment pipelines, and policy-driven environment promotion. They work with Argo CD, Flux, Helm, and Kustomize, and FRATCH matches you fast with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used GitOps
Deepak Mishra
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
Julius Herrera Glomm
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
Santhosh Kannan
Last position:
Freelance Software Engineer at Zalando SE
- Support Authorization as a Service initiative for enterprise-scale authorization platform
- Incorporate comprehensive observability solutions into authorization infrastructure
- Provision and manage AWS infrastructure for authorization services
- Mentor development team on AWS and Kubernetes best practices
- Tech Stack: Java/Kotlin, Golang, Python, OPA, Spring Boot, AWS, Kubernetes, Terraform, ELK Stack, Prometheus, Grafana
Imran Ali
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.
Nune Isabekyan
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Can Kocyigit
Last position:
DevOps Specialist at Eviden Germany GmbH
Manage the development release and update process for a digitized nationwide trade register project "AuRegis".
Support software in Kubernetes/OpenShift environments, configure management with Kustomize, and implement CI/CD pipelines using Jenkins/GitLab, SonarQube, ArgoCD, and Azure.
Oversee system release of microservice architecture.
Craft the CI/CD stack from scratch with GitLab CI, integrating integration tests, dependency checks, and security measures.
Automate deployment onto OpenShift using Kustomize.
Establish infrastructure components for development, code review, and code quality analysis including SonarQube.
Integrate GitOps tools such as Kustomize and ArgoCD, leveraging both Azure and private cloud for sensitive data handling.
Develop Python scripts in Jenkins for cryptostore configuration and system packaging of products and microservices into deployable units.
Automate delivery to customers and deployment on test systems.
Craft Kustomize manifests for microservices and develop accompanying automation, treating documentation as code for clarity and reproducibility.
Serve as technical advisor for the project's first go-live and oversee further deployments as technical rollout manager.
Sebastian Striebig
Last position:
Group Product Manager – Digital Platform Discovery at SPREAD.AI
- Developed and implemented organization-wide discovery framework based on Ulwick’s Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
- Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
- Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
- Implemented OKR framework across 4 product teams; defined quarterly objectives with measurable key results (e.g., 40% reduction in manual integration effort, self-service adoption increase)
- Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
- Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers
Jorge Pérez Suárez
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
Christopher Mäuer
Last position:
Mobile & Full-Stack Engineer at Propstack GmbH
- Refactored the mobile app by reimplementing stores, models, API client, screens and components using Typescript
- Added performant on-device storage for stores as preparation for offline mode
- Integrated RNUILib to achieve a minimal and modern UI design quickly
- Implemented native packages to provide additional features such as displaying of caller IDs
- Planned feature development and UX improvements following initial refactoring and redesign
Daniel Schlieder
Last position:
DevOps Engineer / Cloud Infrastructure Engineer at ComputerStack GmbH
- Provisioned a Kubernetes platform on Open Telekom Cloud CCE with comprehensive network isolation
- Built a VPC architecture with public, private, and data subnets
- Integrated managed services: RDS PostgreSQL, DCS Redis, DMS Apache Kafka
- Implemented monitoring with Cloud Eye and Log Tank Service
IMPACT: Cloud Infrastructure Engineer delivered a production-ready platform in 5 days with full network security isolation
Christian Richter
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Yannick Tresch
Last position:
Managing Director & Senior Consultant at DMoove Solutions GmbH
- Developing strategy and managing operations.
- Advising on cloud technologies with a focus on AWS and Kubernetes.
- Leading automation projects and CI/CD pipeline implementations.
Ilya Isakov
Last position:
Data/Platform/Software Engineer/SRE at IT Consulting
- Designed a platform based on IoT, Azure, Kubernetes, and Postgres for an existing application
- Migrated from "click-ops" and UI-defined CI/CD pipelines to infrastructure-as-code with Terraform, enabling complete redeployment of multiple environments
- Technologies: Terraform, OpenTofu, Azure, Azure DevOps, Kafka, IoT, Kubernetes, Grafana, Prometheus, GitOps, relational databases
Nando Theessen
Last position:
Senior DevOps Engineer at T-Systems
- Designed, implemented & automated cloud infrastructure contributing to 3 projects in a critical role.
- Lead the teams' effort to implement Kubernetes, GitOps, and CI / CD.
- Enabled customers to follow the GitOps approach and deploy their services via ArgoCD.
Discover over 15,000 top freelancers
Statistics of experts using GitOps
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)
Position duration
2.3 years (Germany: 2 years)
Positions per freelancer
8 (Germany: 12)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Legal, Product Development
Bachelor's degree or higher
67% (Germany: 87%)
Master's degree or higher
33% (Germany: 47%)
Certifications per freelancer
3 (Germany: 4)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 96%)
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 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 GitOps
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 GitOps means
GitOps uses Git as the source of truth for infrastructure and application delivery. Changes are stored as code, reviewed like code, and applied to live systems by automated controllers. It is common in Kubernetes environments where teams want traceable, repeatable releases.
Where it fits
GitOps is used for
- Kubernetes cluster setup and app rollout
- environment promotion across dev, staging, and production
- drift detection and automatic reconciliation
- controlled rollbacks through Git history
It helps teams keep deployment logic visible and consistent.
Tooling and ecosystem
Strong GitOps specialists know the practical stack around the workflow:
- Argo CD or Flux for sync and reconciliation
- Helm and Kustomize for manifests
- GitHub, GitLab, or Bitbucket for review flows
- CI pipelines that validate changes before merge
They choose tools that fit the team, not the other way around.
When to bring in freelance expertise
Companies bring in freelance professionals when delivery feels fragile, clusters drift from Git, or releases need tighter control. Berlin teams often ask for support when platform work must move quickly across mixed cloud and Kubernetes setups. Short-term help is also useful for audits, migrations, or a clean rollout model.
What strong specialists do
Good GitOps professionals do more than install a controller. They design repo structure, separate environment logic, and make change reviews easy for the team. They also add guardrails so sync stays predictable when multiple services, clusters, or teams are involved.
Signs you need GitOps help
A project usually needs help when
- deployments are manual or hard to repeat
- live state does not match Git
- reviews do not cover release changes well
- rollback steps are unclear
- platform teams need a cleaner operating model
A strong specialist can turn that into a stable workflow without adding unnecessary complexity.
Frequently asked questions
Quick answers to the questions that come up most around GitOps.
GitOps is used to manage deployments and infrastructure through Git-based workflows. Teams use it to keep Kubernetes environments in sync, review changes before they reach production, and roll back through commit history when needed. It is a good fit when you want clear control over what changed and why.
GitOps overlaps with CI/CD, but it shifts the delivery source of truth into Git. CI usually builds and tests artifacts, while GitOps focuses on how approved changes are applied and kept in sync in the target environment. Many teams use both together rather than choosing only one.
GitOps is often paired with Argo CD, Flux, Helm, and Kustomize. Those tools help define desired state, organize manifests, and reconcile Kubernetes clusters from Git. A strong specialist should know when to use each one and when to keep the setup simple.
A strong GitOps specialist usually knows Kubernetes, YAML-based configuration, container delivery, and release automation. Familiarity with cloud platforms, RBAC, secrets handling, and observability also helps. In Berlin, teams often value people who can work across platform and application delivery boundaries.
GitOps works best when a team already feels the pain of manual change management or inconsistent environments. If releases are still experimental, a lighter setup may be enough for now. Once multiple environments or services need the same repeatable flow, GitOps becomes much more useful.
Yes, GitOps is naturally suited to remote work because the process lives in Git, pull requests, and automated reconciliation. That makes changes easy to review across time zones and teams. For Berlin companies, on-site time is usually only needed for kickoff, architecture decisions, or a difficult migration.
Look for someone who can explain the repo layout, promotion flow, and rollback path in plain language. A strong GitOps freelancer also talks about drift prevention, secret management, and how to keep the workflow maintainable for the team. Ask for examples of real cluster delivery, not just tool names.
GitOps is most common with Kubernetes because the model fits declarative cluster state very well. It can also be used for other infrastructure and delivery workflows, but the ecosystem is strongest in Kubernetes environments. A good specialist should explain the limits instead of forcing the pattern everywhere.
The average hourly rate of freelancers in Berlin, Germany who have used GitOps in their recent projects is 106 €, which corresponds to a daily rate of about 844 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used GitOps in their recent projects, 67% hold at least a Bachelor's degree and 33% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used GitOps in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Berlin, Germany who have used GitOps in their recent projects are German (100%), English (100%), and French (21%).
The most common industries among freelancers in Berlin, Germany who have used GitOps in their recent projects are Information Technology (100%), Automotive (57%), and Banking and Finance (50%).
The most common business areas among freelancers in Berlin, Germany who have used GitOps in their recent projects are Information Technology (100%), Product Development (71%), and Project Management (64%).
Main locations of FRATCH Experts, who have recently used GitOps
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 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
