Terragrunt Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Terragrunt
Frédéric K.
Last position:
Project Manager (Enterprise Cloud Governance) at CompuGroup Medical SE & Co. KGaA
Short description: Lead a group-wide project to establish standardized cloud governance for Microsoft Azure, including policies, security and compliance controls, automation, and cost and operations control while preserving the autonomy of decentralized business units within regulatory boundaries.
Tasks and activities:
Overall responsibility for the design, setup, and implementation of an enterprise-wide cloud governance structure (Azure), incl. target picture, roadmap, and operating model.
Management of internal and external stakeholders (C-level, IT, Security, Compliance, Cloud Architecture, DevOps) incl. decision-making and escalation management.
Planning and facilitation of workshops on cloud strategy, governance principles, and the design of areas such as Identity, Connectivity, and Platform Management.
Definition, implementation, and rollout of cloud policies (Azure Policy / custom policies), security standards, and compliance requirements (including GDPR, ISO 27001, BSI C5).
Building a cloud governance framework aligned with the Azure Cloud Adoption Framework (CAF), incl. landing zone and guardrail concepts.
Introduction of automation solutions for governance, security, and cost control (policy/control automation, IaC, CI/CD-based control mechanisms).
Implementation of cloud security and compliance monitoring mechanisms as well as continuous improvement processes.
Establishment and operationalization of FinOps in an enterprise environment (central and decentralized FinOps teams), incl. cost management strategies, reporting, and guardrails.
Integration of 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).
Implementation of access concepts incl. RBAC design and "break 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 usage in a regulated environment.
Established repeatable automation for governance, security, and cost control (IaC + CI/CD), reducing manual effort and implementation risks.
Improved operational and decision-making capabilities across central and decentralized units (clearer roles, responsibilities, escalation paths, balance between autonomy and group requirements).
Significantly increased workload compliance for 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 a 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, "break glass" concepts.
ACME / certificate automation.
GitLab Runner concept in spokes, GitLab CI/CD pipelines for CAF landing zones.
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
Salim C.
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical 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 T.
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.
Ariel L.
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 K.
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
Frank E.
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
Olaf R.
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
Lars V.
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.
Tymofii S.
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.
Dirk B.
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 G.
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
Christian K.
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 H.
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)
Taher S.
Last position:
DevOps Engineer at Confidential
- Working with developers, security, and operations teams to align requirements
- Supporting product owners and development teams in using logging and monitoring solutions based on the Elastic Stack
- Developing and standardizing log schemas as well as defining practical standards for observability
- Designing and further developing logging architectures for complex, distributed multi-tenant environments
- Connecting application and infrastructure logs as well as security tools and metrics
- Optimizing data flows and modeling for analysis and reporting purposes
- Building automated infrastructures using Terraform/Terragrunt and Ansible
- Maintaining and further developing CI/CD pipelines in GitLab as well as automated development environments in Hetzner Robot
- Operating and automating Proxmox clusters including Ceph storage
- Setting up and operating Kubernetes (k3s) clusters on Fedora CoreOS including base services such as Vault, OpenLDAP, and HA Proxy
- Implementing security-critical infrastructures according to BSI baseline protection and securing existing systems
- Supporting the operation of solutions in cloud environments (including AWS)
- Working in agile teams using Scrum and Kanban
- Technologies/ applications: Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana), Terraform, Terragrunt, Ansible, GitLab CI/CD, GitOps, Proxmox, Proxmox Ceph, Kubernetes (k3s), OpenShift, Helm, Kustomize, Vault, OpenLDAP, HA Proxy, Hetzner Robot systems, AWS, Prometheus, Grafana, Syslog Linux/Windows, Docker, NGINX, Apache Security & Compliance (BSI baseline protection, SIEM/SOC)
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 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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Terragrunt 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 (94%)
- Banking and Finance (65%)
- Retail (47%)
- Automotive (41%)
- Healthcare (41%)
- Transportation (41%)
- Insurance (35%)
- Manufacturing (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Terragrunt does
Terragrunt is an orchestration and configuration layer for Terraform. It reduces repeated configuration by connecting reusable modules with environment-specific inputs, dependencies and remote state settings. Teams use it to keep infrastructure code consistent across development, staging and production.
Where it fits
Terragrunt is commonly used to manage cloud foundations and application infrastructure across AWS, Microsoft Azure and Google Cloud. It can coordinate networking, identity, databases, Kubernetes clusters and shared services while keeping each environment independently deployable. Companies in Germany use it in cloud migrations, platform programs and regulated enterprise environments where repeatable delivery matters.
Ecosystem and tooling
A Terragrunt specialist usually works across the wider HashiCorp ecosystem and the tools around infrastructure as code.
- Terraform modules, providers and state backends
- AWS, Azure or Google Cloud resource design
- Git-based workflows and pull request reviews
- CI/CD with GitHub Actions, GitLab CI or similar tools
- Policy, secrets and observability integrations
When companies need help
Freelance expertise is useful when a Terraform codebase has grown difficult to maintain or several teams need a clear deployment structure. Specialists can establish repository conventions, migrate duplicated configuration, define module boundaries and untangle dependency graphs. They also support upgrades, incident recovery and handover to internal teams.
Skills that matter
Strong professionals understand Terragrunt configuration, includes, inputs, dependencies, hooks and generated configuration. They also know how Terraform plans are evaluated, how state locking and backends behave, and how credentials should be handled in automated pipelines. Good judgment matters as much as syntax: a useful structure stays understandable as accounts, regions and teams expand.
Choosing a specialist
Look for evidence of production infrastructure delivered through version-controlled workflows, not only isolated configuration files. Ask how the specialist handles module versioning, state migration, secrets, drift and failed deployments. For remote collaboration across Germany, clear documentation, reliable written communication and a practical approach to reviews make complex infrastructure easier to operate safely.
Frequently asked questions
Need clarity? These are the questions we hear most often about Terragrunt.
Terragrunt helps teams organize and reuse Terraform configuration across multiple environments, accounts and regions. It manages inputs, dependencies, remote state settings and repeated operational patterns around Terraform modules.
A strong Terragrunt setup adds conventions and orchestration around Terraform rather than replacing it. Terraform remains responsible for resource provisioning, while Terragrunt can reduce duplication and coordinate dependencies; whether that extra layer is worthwhile depends on repository size and team structure.
A capable Terragrunt professional should also understand Terraform modules, cloud networking, identity, state backends and CI/CD pipelines. Experience with Git workflows, secrets management, Kubernetes or policy controls is useful when infrastructure supports larger platforms.
The right Terragrunt experience depends on the scope and risk of the infrastructure. A small repository may need help with structure and conventions, while multi-account or regulated environments call for a specialist who has handled state changes, dependencies, recovery procedures and team handover.
Yes, Terragrunt work is well suited to remote collaboration because configuration, plans and reviews are managed through version control and CI/CD. On-site workshops can still help with architecture and handover, while clear English or German documentation should match the company’s working language.
A Terragrunt layer may add unnecessary concepts to a small Terraform codebase with few environments and little repetition. A specialist should first assess whether simpler Terraform modules, native workspaces or another repository structure would solve the problem more clearly.
Review how Terragrunt configuration separates reusable modules from environment data and how safely it handles state, dependencies and credentials. Ask for examples of testing, plan reviews, failure recovery and documentation, then check whether the structure is understandable to the team that will maintain it.
A Terragrunt freelancer may deliver a repository structure, reusable Terraform modules, environment configurations, dependency definitions and CI/CD workflows. They can also document operating procedures, migrate existing state, establish review standards and train internal professionals.
The average hourly rate of freelancers in Germany who have used Terragrunt in their recent projects is 98 €, which corresponds to a daily rate of about 782 € 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.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
