Infrastructure as Code Experts in Hamburg
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Meet FRATCH Experts in Hamburg, who have recently used Infrastructure as Code
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.
Daniel Sedlack
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Cornelius Höfig
Last position:
Solution Architect at STIHL
- Remodeling of the system architecture for an Azure-based platform aimed at rapid development of new functionalities
- Modeling of a staging concept for the fulfillment of diverse customer and QA needs
- Creation of requirements for, and oversight of, a proof-of-concept supplier project for a Flutter app with highly advanced BLE functionalities
- Comparison of multiple observability platforms for feasibility and requirements fit within the project environment
- Creation of a mobile app architecture based on domain-driven architecture
- Position of technical advisor and accountable solution architect for two development teams
- Execution of architecture reviews and alignment of changes with architectural expectations
- Skills & Technologies: Microsoft Azure , App Services, NodeJS Mono-repository, microservice architecture, domain driven design, self contained systems, requirements engineering, CI/CD, DevOps, API design, solution architecture
Enrique Gallardo
Last position:
Security Architect at Capgemini
I implemented a Zero-Trust architecture for robust, military-grade maritime container mini data centers based on VMware & Tanzu to support containerized GIS workloads for ground forces. The main focus was on securing communications, workload protection, and data access in contested electronic battle environments affected by jamming, interception, signal manipulation, and constantly changing operational conditions. I designed and architected use cases so that every element of workload, identity, and system could continue to operate independently and securely even in degraded or disrupted scenarios. In parallel, I defined the enterprise and solution security architecture with LeanIX, Bizzdesign, and HOPEX as enterprise architecture, repository, and governance platforms to maintain architecture inventory, relationships, traceability, target pictures, and security governance in complex environments. For the architectural designs, I used Sparx Enterprise Architect to describe formal architecture views, interfaces, trust boundaries, and system architecture in both IT and OT environments. IriusRisk was used for threat modeling of the solution to identify architecture-driven risks, derive security requirements, and detect countermeasures and design gaps directly from the solution models. Risk and compliance management was supported with Archer. Architecture decisions, control gaps, and operational risks were translated into controlled governance and auditable compliance measures. For documentation, collaboration, and visual design, I used Confluence to maintain Architecture Decision Records, Security Blueprints, and workflows. I used Lucidchart and draw.io to create design artifacts tailored to stakeholders. I also defined OT security concepts with support from electrical and mechanical engineers in the areas of oil, vehicle onboard systems, rail, power plants, pharma, gas turbines, and nuclear technology. I created the end-to-end OT security strategy, starting with global policy, developed into standards and procedures, and finally aligned with Bell-LaPadula, Purdue Model, SABSA, TOGAF ADM, CENELEC 50701, IEC 62443, and NIST standards. In addition, I worked with engineering team leads to identify critical KBP assets and place them under protective measures that segmented SCADA, PLC, and HMI assets. I drove collaboration between Security, IT, and OT teams to create standardized workflows and use cases for the OT security solution catalog, while integrating Defense-in-Depth and Zero-Trust principles into operational environments. A key part of my work was integrating multidisciplinary engineering, security, and operations stakeholders into a unified security blueprinting strategy and ensuring that architecture, threat modeling, governance, and documentation were technically strong and operationally practical.
Andreas Schmückert
Last position:
Solution Architect, Business Analyst, Consultant, Full-Stack Lead-Developer at 50Hertz Transmission GmbH
- Solution for micro-service and frontend solution for the electric grid
- Leading of development teams
- Technologies: React-Native, TypeScript, Kotlin, AWS, Infrastructure As Code, Serverless Architecture, React, NoSQL, GraphQL, Angular, Playwright, Python, ML(Ops), Kubernetes, Docker
Andreas Steffan
Last position:
Lead Developer at Software
- Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
- Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
- Implemented based on RESTful / OpenAPI services
- Delivered as a fat-jar and native container image
- Deployed on-premises and serverlessly as an Azure Container Application using Terraform
- Improved team autonomy through infrastructure engineering and short feedback loops
- Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
- Introduced Terraform and trunk-based development processes
- Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
- Created Azure DevOps pipeline integration tests
- Introduced cloud deployment processes
- Trained staff in cloud and Terraform
Mark Plaatsman
Last position:
Full-Stack Software Developer, Product Data Import at Otto (GmbH & Co KG)
- Manage and operate the product data import services for the Otto merchant
- Enhance and maintain the backend systems
- Optimize and maintain AWS infrastructure
- Build a new product data import API
- Design and plan stories and features
- Conduct code reviews to ensure code quality and best practices
- Analyze and fix bugs
- Technologies: Java, Spring Boot, Kafka, AWS, Fargate, Terraform, MongoDB, Mongo Atlas, OpenAPI, GitHub, GitHub Actions, GitHub Copilot, Akhq, Debezium, JUnit, Test Containers, Hexagonal Architecture
Christian Hartmann
Last position:
Software Developer / Lead Developer at dpa (Deutsche Presse Agentur GmbH)
- Contributed to the development of the Rubix editorial system
- Implemented various microservices based on Java, AWS S3, AWS SQS, AWS SNS, and Spring Boot, deployed to AWS ECS and AWS Fargate
- Designed and developed AWS Lambdas using TypeScript
- Used PostgreSQL in an AWS RDS Aurora cluster and AWS DynamoDB
- Implemented continuous deployment with GitLab pipelines
- Built an Infrastructure as Code environment with AWS CDK
- Set up and maintained a monitoring platform using AWS CloudWatch
- Developed various frontend components with Vue.js
- Designed the microservice architecture applying Domain Driven Design and GraphQL interfaces
Adrian Hollay
Last position:
Interim Consultant for Oracle Database Migrations to the AWS Cloud at Bank Deutsches Kraftfahrzeuggewerbe GmbH
- Migration of Oracle databases from on-premise to the AWS Cloud
- Support for technical Oracle solutions and cloud database infrastructures (IaaS and PaaS) RDS vs. EC2, sizing for performance
- Creation and maintenance of DR/HA (Disaster Recovery/High Availability) and backup and recovery policies and procedures (multi-region backup)
- Support for Oracle license selection, Enterprise → Standard migration
- Monitoring database instances
- Implementation and maintenance of database security (wallet, SSL)
- Patch management and version control
- Automated installation and configuration of Oracle databases using Terraform and Ansible
Jan Lüders
Last position:
Senior Developer at #Die.Digitalfabrik GmbH
- Languages: PHP7/8 (Shopware 5 & 6), Vue.js, Docker, Oracle, Apache, MongoDB (NoSQL)
- Infrastructure: ScaleCommerce (e-commerce cluster, container-based)
- Team: 3
- Development methodology: Kanban (Jira/Confluence)
- Planning and development of various client projects in an agency environment
Kai Pohl
Last position:
Microsoft Azure Synapse and Power BI Developer at Consulting company / International insurance brokerage group
- Built a Microsoft Azure Synapse Data Warehouse solution and developed ETL structures for an international insurance brokerage company
- Created tables, views, and pipelines in Azure Synapse
- Developed Power BI reports for controlling and tax reporting (BAB, IER)
- Technology stack: Microsoft Azure Synapse (Synapse SQL, Synapse Pipelines), Microsoft Power BI (semantic data model, reports), Azure DevOps (Boards, Repos)
- Development languages: DAX, M, SQL
Discover over 15,000 top freelancers
Statistics of experts using Infrastructure as Code
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
1.8 years (Germany: 1.9 years)
Positions per freelancer
16 (Germany: 12)
Top business areas
Information Technology, Operations, Project Management
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Audit, Legal
Bachelor's degree or higher
86% (Germany: 91%)
Master's degree or higher
29% (Germany: 55%)
Certifications per freelancer
3 (Germany: 4)
Most common languages
German, English, Greek
Speak two or more languages
100% (Germany: 98%)
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 Hamburg 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 Hamburg using Infrastructure as Code
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 IaC does
Infrastructure as Code turns servers, networks, access rules, and cloud services into versioned files. That makes environments repeatable, reviewable, and easier to rebuild after change or failure. Companies use it to replace manual setup with clear, testable definitions.
Common tooling
- Terraform for multi-cloud and shared modules
- AWS CloudFormation for AWS-native stacks
- Ansible for configuration and provisioning tasks
- Pulumi for code-based infrastructure definitions
- Git-based review and release flows
Where it helps
IaC is used for landing zones, application environments, Kubernetes clusters, network rules, IAM, secrets flow, and disaster recovery setups. It also supports platform work in regulated teams that need traceable changes and clean approval paths.
Why companies bring in specialists
Teams often need help when old manual changes create drift, cloud growth slows delivery, or a new setup must be moved into code. In Hamburg, this comes up in shipping, media, logistics, and enterprise IT where stable cloud operations matter. Freelance support fits migrations, reviews, and short rescue work.
What strong professionals bring
Strong IaC professionals read both code and infrastructure intent. They write modules, handle state carefully, separate environments, and make plans safe to apply. They also understand security, naming, tagging, secrets, and how to keep changes easy to audit.
How good delivery looks
Good work is not just a working template. It is a clean structure that teams can reuse, clear documentation, and sensible guardrails for future changes. The result should be infrastructure that another specialist can understand and extend without guesswork.
Frequently asked questions
Everything clients usually want to know about Infrastructure as Code, in one place.
Infrastructure as Code is used to define cloud and on-prem infrastructure in files instead of clicking through consoles. That includes networks, compute, permissions, storage, Kubernetes platforms, and supporting automation. The goal is to make provisioning repeatable and easier to review.
Infrastructure as Code is a method, not one product. Terraform is the most common name people search for, but AWS CloudFormation, Pulumi, and Ansible are also part of the same world. The right choice depends on cloud scope, team habits, and how much code-based abstraction you want.
A company usually brings in Infrastructure as Code help when setups are manual, inconsistent, or hard to audit. It is also useful during cloud migrations, environment rebuilds, and platform standardization. If changes keep drifting from the template, outside expertise can save a lot of cleanup.
A strong Infrastructure as Code professional usually knows cloud services, Git workflows, CI/CD, IAM, networking, and secrets handling. Security and observability matter too, because infrastructure files must fit real operational needs. For Kubernetes-heavy work, cluster and deployment knowledge is also important.
For small, well-scoped Infrastructure as Code work, a focused specialist can get far quickly. For larger estates, you want someone who has handled modules, shared state, environment separation, and rollout strategy before. The more systems depend on it, the more structure matters.
Good Infrastructure as Code work is readable, modular, and safe to change. Look for clear naming, small reusable pieces, stable state handling, and a plan for testing before apply. If the files are hard to follow or every change feels risky, the design is weak.
Infrastructure as Code is very remote-friendly because the work lives in files, pull requests, and planning sessions. On-site time can help at the start if teams need alignment on cloud standards or access patterns. In Hamburg, many companies use a mix of remote delivery and local workshops.
Infrastructure as Code gives you repeatability, review history, and a clear way to rebuild environments. Manual administration can be fine for one-off fixes, but it is harder to track and easy to drift over time. For growing systems, code-based management is usually the safer path.
The average hourly rate of freelancers in Hamburg, Germany who have used Infrastructure as Code in their recent projects is 93 €, which corresponds to a daily rate of about 744 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Infrastructure as Code in their recent projects, 86% hold at least a Bachelor's degree and 29% hold at least a Master's degree.
On average, freelancers in Hamburg, Germany who have used Infrastructure as Code in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Hamburg, Germany who have used Infrastructure as Code in their recent projects are German (100%), English (100%), and Greek (9%).
The most common industries among freelancers in Hamburg, Germany who have used Infrastructure as Code in their recent projects are Information Technology (100%), Retail (73%), and Banking and Finance (64%).
The most common business areas among freelancers in Hamburg, Germany who have used Infrastructure as Code in their recent projects are Information Technology (100%), Operations (82%), and Project Management (82%).
Main locations of FRATCH Experts, who have recently used Infrastructure as Code
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.
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