Terragrunt Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Terragrunt
Frédéric Klein
Last position:
Project Manager (Enterprise Cloud Governance) at CompuGroup Medical SE & Co. KGaA
Short description: Leading a group-wide project to establish standardized cloud governance for Microsoft Azure, including policies, security and compliance controls, automation, and cost and operations management while preserving the autonomy of decentralized business units within regulatory frameworks.
Tasks and activities:
Overall responsibility for designing, building, and implementing a company-wide cloud governance structure (Azure), including target picture, roadmap, and operating model.
Managing internal and external stakeholders (C-level, IT, Security, Compliance, Cloud Architecture, DevOps), including decision and escalation management.
Planning and facilitating workshops on cloud strategy, governance principles, and the design of areas such as identity, connectivity, and platform management.
Defining, implementing, and rolling out cloud policies (Azure Policy / custom policies), security standards, and compliance requirements (including GDPR, ISO 27001, BSI C5).
Building a cloud governance framework based on the Azure Cloud Adoption Framework (CAF), including landing zone and guardrail concepts.
Introducing automation solutions for governance, security, and cost control (policy/control automation, IaC, CI/CD-based control mechanisms).
Implementing cloud security and compliance monitoring mechanisms as well as continuous improvement processes.
Establishing and operationalizing FinOps in an enterprise environment (central and decentralized FinOps teams), including cost management strategies, reporting, and guardrails.
Integrating governance policies into DevOps processes (e.g. CI/CD principles for security and compliance checks, GitLab Runner concept in spokes, GitLab CI/CD for CAF landing zones).
Implementing access concepts including RBAC design and breaking-glass mechanisms (emergency access) as well as certificate automation (ACME / step-ca).
Achievements:
Created a unified, auditable governance and control set for Azure (policies, standards, compliance mapping) and thus laid the foundation for scalable cloud use in a regulated environment.
Established repeatable automation for governance, security, and cost control (IaC + CI/CD), reducing manual effort and implementation risk.
Improved operational and decision-making capability across central and decentralized units (clearer roles, responsibilities, escalation paths, balance between autonomy and group requirements).
Significantly increased workload compliance during lift-and-shift migrations.
Technologies used:
Microsoft Azure Policy, custom policies.
Terraform, OpenTofu, Terragrunt.
step-ca (ACME).
Entra ID.
Azure Firewall.
Azure Networking, hub-and-spoke architecture.
Azure vWAN (evaluation).
Azure Front Door, Azure Application Gateway.
Azure ExpressRoute.
Azure Key Vault.
NetBox.
GitLab (on-premises).
Infrastructure, concepts used:
Cloud shared responsibility model.
Hub-and-spoke connectivity / central shared services (from hub-spoke context).
Central governance with decentralized delivery (business unit autonomy with guardrails).
Methods used:
Scrum.
Stakeholder management (C-level to engineering).
Cloud governance, Azure Cloud Adoption Framework (CAF).
DevOps, CI/CD.
Cost and FinOps approaches: tagging/chargeback models, budget/alert concepts, reserved instances/savings plans vs. on-demand scenarios, sensitivity analyses.
RBAC, breaking-glass concepts.
ACME / certificate automation.
GitLab Runner concept in spokes, GitLab CI/CD pipelines for CAF landing zones.
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operational processes
- Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Professional consulting for the project's security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
- Analysis and resolution of incidents and system outages
- Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
- Professional consulting on BitBucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Panagiotis Tsafaridis
Last position:
Senior Data Engineer Consultant at GOLDNER GmbH
- Onboarded and conducted comprehensive documentation and system analysis to assess the existing data infrastructure, facilitating rapid integration and collaboration across functional data teams (modelling, processing, reporting).
- Collaboratively defined the architecture and project structure for a central data pipeline repository, including hierarchical standards, knowledge management strategies, and role-specific responsibilities, enhancing maintainability and onboarding speed.
- Evaluated and validated open-source data routing tools (Airbyte, Apache NiFi, Dragster) for ingest and sync requirements in retail analytics, including local benchmarking and error-state testing.
- Led the design and deployment of Airbyte in Kubernetes, creating customized Helm charts, securing secrets handling, and configuring Ingress with TLS and internal DNS routing, ensuring full API and UI accessibility.
- Troubleshot and resolved Ingress controller issues, iterating through multiple stages of debugging and testing, and documented setup and replication steps for scalable reuse.
- Mapped data models to ARTS standard, supporting schema alignment for ERP and reporting use cases, and coordinated review loops to align future data processing logic.
- Drafted strategic 1-pagers comparing MinIO, Pub/Sub, and routing architectures, providing technical guidance for architectural decisions and investment planning.
- Enabled secure access and authentication mechanisms, including initial evaluation for SAML integration, cluster-level configuration reviews, and service annotation improvements.
Tymofii Sukhachov
Last position:
Senior Backend Developer at Medavis
- Developed backend features for Modern RIS, a web-based Radiology Information System integrated with the existing Classic RIS via WebView.
- Worked on a modular Spring Boot backend covering clinical workflows such as appointments, examinations, patients, orders, reporting, billing, and inventory.
- Contributed to event-driven architecture using domain events to decouple workflows across backend modules.
- Implemented REST/OpenAPI endpoints, service-layer business logic, DTO mapping, validation, and integration points for the React frontend.
- Worked with PostgreSQL-backed domain models, Liquibase database changes, read/write model separation, and legacy RIS database structures.
- Integrated authentication and authorization flows using Keycloak and OAuth2.
- Added and maintained unit/integration tests using JUnit, Rest Assured, Testcontainers, and project-specific test utilities.
- Supported CI/CD and local development workflows using Maven, Docker Compose, Jenkins, and generated OpenAPI clients.
Tech stack: Java 21, Spring Boot 3.5, Maven, PostgreSQL, Liquibase, Keycloak, OAuth2, REST, OpenAPI/Springdoc, MapStruct, Lombok, Docker, Testcontainers, Jenkins.
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
Ariel Lev
Last position:
Sr. Principal Engineer at Slalom
- Held direct line management responsibility for a team of 4 Platform Engineers — owning hiring, performance reviews, and career development — while establishing a shared engineering standards framework and coaching culture that accelerated delivery across client engagements.
- Led a team of engineers to architect a cloud-native voice AI system for a major inspection client, enabling 2,500 field inspectors to document work fully hands-free via real-time transcription and AI agents — eliminating manual data entry across 440,000 inspections per month and reducing per-user cost from $9 to $1. Stack: AWS (DynamoDB, S3, Transcribe, CloudFront, API Gateway, Bedrock), ElevenLabs, Claude.
- Led a team of engineers to automate multi-region Kubernetes cluster management for a global SaaS leader, reducing provisioning time from 3 weeks to under a day and eliminating 90% of configuration errors. Stack: EKS, Terragrunt, Python, Bash, ArgoCD.
- Accelerator - Cloud-Agnostic AI Platform: Architected and delivered a cloud-agnostic, Kubernetes-native platform as an accelerator, enabling multi-tenant, enterprise-scale management of self-hosted LLMs with concurrent deployment of multiple base models and dynamic LoRA adapter serving. Designed production infrastructure using open-source tooling (ArgoCD, Karpenter, vLLM, SGLang) with automated model lifecycle management, API security (Keycloak + LiteLLM), and cost-optimized GPU provisioning.
Valery Khamenya
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Olaf Radicke
Last position:
DevOps Architect / Consultant at Authority with increased security requirements
- Identification of requirements (legal, organizational, and technical)
- Design of solution architectures
- Evaluation of concepts and technologies
- Preparation of decision templates
- Architectural Decision Records (ADR)
- Coordination of implementation
- Review of implementations
- Documentation
Dirk Bolte
Last position:
Senior Software Developer at congstar
- Mobile app backend development for end-customer mobile management
- Implementation of authentication methods
- Conversion of a monolith into microservices
- Operational support
- Technologies: Kotlin, Quarkus, Microprofile, Jackson, MariaDB, Redis, JSON, XML, SOAP, Maven, Git, GitLab CI, Splunk, Grafana, Jenkins, Kubernetes, Helm, Terraform, Microservices
Markus Glagla
Last position:
Full Stack Developer at REWE Digital
- A warehouse valuation system was reimplemented using Java, Spring Boot, and Camunda. The backend solution focuses on integration and batch calculations, the frontend on managing formulas and reviewing results.
- Java 21
- Spring Boot
- JPA
- Maven
- REST
- Kafka
- PostgreSQL
- DB2
- Liquibase
- Google Cloud Storage
- Keycloak
- GitLab CI/CD
- Helm
- Terragrunt
- SonarQube
- Angular
- IntelliJ
- JUnit 5
- Mockito
- Open API
Lars Von Bentivegni
Last position:
CEO at FABBricate IT Solutions GmbH
- Deliver tailored, scalable IT solutions specializing in cloud platforms, on-premise systems, Kubernetes orchestration, CI/CD automation, data management, and security, including in air-gapped German environments.
- Automate infrastructure provisioning, streamline workflows, and ensure compliance with standards like ISO 27001 using tools like Terraform, Helm, GitOps, and Open Tofu.
- Help businesses achieve secure, efficient digital transformation.
Christian Kappen
Last position:
Senior AWS Cloud Engineer at Sopra Financial Technology GmbH
- Setup and operation of a multi-cluster AWS EKS platform for banking workloads with a unified network and security architecture across 45 AWS accounts.
- Developed and standardized a unified AWS network and security architecture for 45 AWS accounts, enabling consistent governance, connectivity, and compliance for enterprise customer environments.
- Developed and operated a multi-cluster AWS EKS platform to support production workloads, significantly improving scalability, availability, and operational reliability.
- Implemented a GitOps deployment model using ArgoCD and Helm, enabling fully automated, auditable deployments and reducing manual release errors.
- Automated infrastructure provisioning using Terraform and Terragrunt at scale, reducing environment setup time by up to 70% and eliminating configuration drift.
- Established enterprise-grade backup and disaster recovery strategies using Velero and AWS Backup, ensuring reliable multi-cluster recovery and business continuity.
- Introduced Rancher as a self-service Kubernetes platform, accelerating developer onboarding while maintaining centralized security and governance.
- Designed and implemented detailed AWS IAM concepts (roles, policies, trust relationships) to enforce the principle of least privilege for access to accounts, workloads, and CI/CD pipelines.
- Developed AWS Lambda-based pre-provisioning workflows for databases, automating initialization, configuration, and access setup to support secure and consistent application integration.
- Delivered consistent, high-quality results as part of a 5-person AWS Solutions Architecture team, resulting in three consecutive contract renewals.
Thomas Hoefkens
Last position:
Senior MLOps, DevOps and Full-Stack Engineer at Trianel Energy
- Built and operated an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for automated deployment, monitoring and scaling of forecasting models (e.g. Temporal Fusion Transformer, Informer, Autoformer)
- Implemented CI/CD pipelines in Azure DevOps for the complete ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA clusters) through training and evaluation to model registry and endpoint deployment
- Integrated MLflow for experiment tracking, model versioning, performance monitoring and automated registration in Azure Model Registry
- Developed and containerized PyTorch training jobs with CUDA (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0
- Set up monitoring and alerting mechanisms (Prometheus, MLflow metrics), centralized logging and cost tracking
- Configured security (OAuth2) and rate limiting via APIM
- Automated infrastructure provisioning and model deployment using Terraform, Helm and Azure CLI; integrated with existing market data systems and event pipelines
- Migrated existing workloads and databases (IONOS → Azure, MongoDB) integrating them into central MLOps workflows and internal networks
- Extended the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports
- Analyzed and designed a software solution to efficiently process high-volume data (>3000 messages/sec) (market data store)
- Developed Spring Boot / Java 21 containers with RabbitMQ to distribute market data via MongoDB (Kubernetes) with fast data storage in Redis RMaps, deduplication, forwarding of messages to read model queues and building read models for UI display in MongoDB
- Integrated RESTHeart to generate a REST API for MongoDB
- Migrated to MongoDB ClickHouse for mass ingests and automatic deduplication using the ReplicatedMergeTree engine in ClickHouse
- Built a Python Apache Arrow Flight service for querying the ClickHouse DB in milliseconds for complex queries (gRPC protocol / ClickHouse column-based queries)
- Developed an Angular frontend to simplify data queries and master data maintenance
- Used agentic coding with remote and local LLMs (Claude, Ollama Qwen, OpenLLM) and MCP servers
- Created Python scripts for transforming and cleaning incoming market data (Pandas, scikit-learn)
Frank Eppink
Last position:
DevOps at Lauck-IT
Operations and extensions of Azure DevOps pipelines
Operations and extensions of AWS services
Citrix (Windows 10, Bitwarden)
AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting
Azure: build and deploy with DevOps pipelines
Christian Richter
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Discover over 15,000 top freelancers
Statistics of experts using Terragrunt
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.6 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
69%
Master's degree or higher
38%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
94%
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 Terragrunt
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 Terragrunt does
Terragrunt is a thin layer around Terraform that helps teams manage many infrastructure code stacks without copying the same settings everywhere. It is used to keep environments consistent, wire modules together, and make large cloud setups easier to maintain.
Core workflows
- Organize reusable Terraform modules
- Manage remote state and locking
- Pass inputs across related stacks
- Keep environment values separate
- Reduce repeated Terraform code
Tooling and ecosystem
Strong Terragrunt work usually sits beside Terraform, cloud IAM, modules, and backend storage such as S3 or similar state stores. Professionals also need to understand HCL, CLI workflows, CI pipelines, and how teams promote changes across dev, staging, and production.
When companies bring in specialists
Companies usually look for Terragrunt expertise when their Terraform setup has grown into many folders, regions, or accounts. It also helps when state handling is messy, module reuse is weak, or releases need tighter control across multiple environments.
What good professionals deliver
Good Terragrunt specialists write clean stack structure, predictable inputs, and clear dependency boundaries. They also spot brittle module design early and keep the codebase easy to review, which matters when several teams change infrastructure at the same time.
Working in Germany
In Germany, Terragrunt work often supports cloud platforms, regulated environments, and teams that want strong internal process around infrastructure changes. Many projects work well remotely, but on-site time can help when the setup involves shared standards, security reviews, or close coordination with local teams.
Frequently asked questions
Need clarity? These are the questions we hear most often about Terragrunt.
Terragrunt is used to wrap Terraform and make large infrastructure codebases easier to organize. It helps teams keep modules reusable, state handling consistent, and environment-specific settings in the right place. That is why it is common in multi-account, multi-region, and multi-environment setups.
Terragrunt does not replace Terraform; it adds structure around it. Terraform defines infrastructure resources, while Terragrunt helps with repetition, dependency wiring, and shared configuration across stacks. Teams usually choose it when plain Terraform becomes hard to scale across many environments.
A company should bring in a Terragrunt specialist when Terraform code starts repeating itself or state handling becomes fragile. It is also a good sign if environment promotion, module reuse, or stack dependencies are slowing delivery. In those cases, an expert can reshape the structure before it becomes harder to maintain.
A strong Terragrunt freelancer usually knows Terraform deeply, plus cloud services, HCL, and remote state backends. CI/CD, IAM, module design, and environment promotion patterns matter too. The best specialists also understand how teams review and safely apply infrastructure changes.
Yes, Terragrunt work often fits remote collaboration very well because most tasks are code-based. For teams in Germany, the main needs are usually clear documentation, good communication, and alignment on review and release steps. On-site sessions can still help when a team needs to standardize patterns quickly.
Look for a Terragrunt expert who keeps stack layout simple, avoids hidden logic, and makes dependencies easy to follow. Good work should reduce duplication without creating a maze of overrides. Clean plans, stable state handling, and readable folder structure are strong signs of quality.
A Terragrunt project needs someone who understands both Terraform and the way your environments are split up. Simple wrapper usage is easy, but larger estates need careful choices around state, dependencies, and module boundaries. If the setup includes many teams or accounts, deeper experience matters more.
The main alternative to Terragrunt is usually plain Terraform with stricter module conventions and CI rules. Some teams also use their own wrapper scripts or higher-level internal tooling. Those options can work, but Terragrunt is often chosen when teams want a clearer way to manage repeated infrastructure patterns.
The average hourly rate of freelancers in Germany who have used Terragrunt in their recent projects is 99 €, which corresponds to a daily rate of about 795 € based on an 8-hour working day.
Of the freelancers in Germany who have used Terragrunt in their recent projects, 69% hold at least a Bachelor's degree and 38% hold at least a Master's degree.
On average, freelancers in Germany who have used Terragrunt in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used Terragrunt in their recent projects are German (100%), English (94%), and French (18%).
The most common industries among freelancers in Germany who have used Terragrunt in their recent projects are Information Technology (94%), Banking and Finance (65%), and Retail (47%).
The most common business areas among freelancers in Germany who have used Terragrunt in their recent projects are Information Technology (100%), Product Development (82%), and Operations (76%).
Main locations of FRATCH Experts, who have recently used Terragrunt
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.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
