GNU Make Expert in Germany
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Meet FRATCH Experts in Germany, who have recently used GNU Make
Peter S.
Last position:
Senior ML Engineer & AI Researcher at Anonymous Client
Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing
- Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
- Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
- Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.
Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision
Michael N.
Last position:
Senior AI Engineer | Forward Deployed Engineer at Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
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
Alexander D.
Last position:
Systems Engineer at infoteam AG
- Further development and maintenance of data management software in the nuclear sector
- Processing and resolution of problem reports
- Bug fixing and defect remediation
- Performance optimization of legacy code
- Analysis and remediation of security vulnerabilities
- Specification and conceptual design of new features
- Modernization of legacy codebase to C++17
- Technologies & tools: C++, ClearCase, SQL, HTML, CSS, JavaScript, Git, Linux, Solaris, Shell-Script, VisualStudio
- Frontend – Smart Sensor Dashboard: development of a browser-based dashboard for real-time visualization of smart sensor data
- Technologies & tools: TypeScript, Angular, HTML, CSS, JavaScript, MQTT, VisualStudio
- Implementation of embedded safety software for a magnetic levitation elevator system
- Requirements engineering
- Documentation and implementation of safety software for the magnetic levitation elevator control system and the central management system
- Creation and execution of unit tests for all implemented modules
- Technologies & tools: C/C++, Jira, Bitbucket, Confluence, VectorCAST, MISRA-C, Lint, Doxygen, Git
Luca P.
Last position:
ERP Program Manager at Fiserv
The customer is undergoing a comprehensive transformation. All SAP ECC landscapes worldwide are being migrated to SAP S/4HANA, with the goal of introducing a standard template worldwide.
The program also includes the “RISE with SAP” migration and modernization program, which may involve migrating the landscapes of selected country installations to the SAP Private Cloud.
On the stakeholder side, the program reporting line extends to the company’s executive board and that of the implementation partner.
Fiserv Germany’s ERP landscape currently includes several non-standard SAP tools and applications that extend the functionality of the ECC environment and can often be integrated into downstream systems. As part of the transition to SAP S/4HANA, it is essential to assess the core functionality, integration points and future viability of these applications in order to determine their alignment with the target architecture.
The focus of the work is on providing expert advice and assessment to define the scope, strategy and roadmap for transitioning Fiserv Germany’s SAP ECC system to SAP S/4HANA.
The recommended best practices from SAP are followed and a structured approach is used to ensure a smooth transition with minimal disruption while maximizing business value.
This assessment forms the basis for a successful SAP S/4HANA transformation and ensures alignment with industry best practices, regulatory compliance and future scalability.
Migration Strategy Definition – assessment of available transition approaches based on business objectives, technical feasibility and SAP Best Practices.
Technical Readiness Assessment – conducting a system analysis to assess compatibility, custom code impact, data volume management, integration points and infrastructure readiness for SAP S/4HANA.
Business Process Impact Analysis – reviewing the latest business process documentation to define the scope and effort required to implement the necessary functions in SAP S/4HANA and to identify opportunities for process optimization.
Roadmap for Non-SAP Systems and Applications – assessment of third-party and legacy applications regarding their integration with SAP S/4HANA and recommendation of consolidation, migration or replacement strategies.
Deployment & Implementation Planning – defining a phased approach for implementation, including project schedules, risk mitigation strategies and key milestones aligned with business priorities.
This transformation takes place in phases: the Discovery phase leads to the Explore phase, which is followed by the Design phase and finally implementation.
Program management
Change management
Requirements management
Transition management
Stakeholder management
Risk management
Comprehensive coordination
Qaiser A.
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Stephan P.
Last position:
Senior Embedded SW-Architect at Mercedes-Benz Tech Innovation GmbH
- Collaboration with MB (Sindelfingen), NVIDIA (Santa Clara), MBRDI (Bangalore)
- Structure and signal modelling in Rhapsody
- Architectural decision records and requirement reviews
- Technologies: Confluence, Rhapsody, JIRA, DNG, Jama, Slack, GitLab, AWS CDW, Bazel, Docker, QNX
Roland R.
Last position:
Support in Ongoing Project at Automotive Supplier
- closing the safety case
- creation of meaningful traceability matrices and targeted test expansion
- transferring requirements into other database systems
- structuring the requirements, assessing their completeness, and setting up new test cases based on use-case–based test strategies and the results of internal traceability matrices
- partial automation of tasks within a requirement assessment tool
- tools and languages: MS Teams, reqIF, Enterprise Architect, Codebeamer, proprietary tools for creating and evaluating traceability matrices (approx. 1000 x 1000)
Michael E.
Last position:
Software Developer at Continental
- Supported a telematics component in the automotive sector with SELinux and open-source license management.
- Products: SELinux, iMX8, ScanCode.
- Skills: Linux, firmware development, Python.
Alban T.
Last position:
C/C++ Developer on AIX Systems for SAP Kernel System Integration at IBM Research and Development
- AIX/Linux system administrator: deployment of LPARs (Logical Partitions) for SAP Kernel Development
- C/C++ SAP kernel development and integration to SAP HANA Database
- C/C++ programming and software integration, support for SAP kernel on AIX system; development and testing on SAP VDI
- Example: development of the ABEC Tool (AIX Build Environment Checker) to create SAP build environments for debugging process and benchmarking
- Benchmarking and test execution of SAP kernels (test from the communication to the SAP HANA Database and to SAP NetWeaver) on AIX
- Automate the SAP kernel build via Jenkins and benchmarking over crontab jobs
- New C/C++ compiler design and testing (based on Clang++ and LLVM)
- Customer ticket handling to resolve SAP kernel bugs and build failures
- SAP kernel development with Rust programming language, migrating some sub-kernel projects from C/C++ to Rust because of Rust's memory safety model, ownership system, and concurrency features
- Refactoring selected components in Rust and integrating them with existing C++ codebase via FFI
Hussein K.
Last position:
QA and Test Automation Engineer at Intel
- Verified internal and external semiconductor technologies to support the release of design packages.
- Developed automated testing environments using Bash and Python to streamline verification workflows.
- Created and maintained TCL scripts to configure ivars and automate testbench execution.
- Performed comprehensive validation of technology libraries and Verilog files.
- Utilized a range of industry-standard EDA tools including Fusion Compiler, Innovus, ICV, Calibre (Mentor Graphics), Seascape (Ansys).
- Conducted root cause analysis to debug and resolve issues across various tool flows.
- Defined and tracked QoR (Quality of Results) metrics to provide a macro-level view of design package health.
- Optimized test runtime and resource usage to improve efficiency and turnaround time.
Björn G.
Last position:
Fullstack Developer at The Coach AI
- Implemented the frontend and backend of a chat application for an AI startup
- Used Go and Dart
- Technologies: gRPC, Flutter, Terraform (IaC)
- CI/CD via GitHub, deployment on Google Cloud Run
Wisdom N.
Last position:
DevOps Engineer at Peer Network PSE UG
- Built full CI/CD pipelines using GitHub Actions, Docker Compose, PostgreSQL, PHPStan, Newman, Gitleaks, Trivy, SQL validation, and HTMLExtra reporting.
- Implemented automated SQL import in CI (docker-entrypoint-initdb.d) and custom Postman collection merging with Node.js for deterministic API testing.
- Created organization wide PR auto labeling workflow and a Developer Mapping System (GitHub, Developer, Discord) for targeted CI notifications.
- Developed full local DevOps environment (Dockerfile.local, Nginx and Supervisor) and a 400+ line Makefile supporting CI2, local CI replication, testing, monitoring, and pre-commit checks.
- Built strict SQL validation system enforcing safe migration rules and blocking unsafe PRs.
- Automated QA reporting: HTMLExtra, GitHub Pages deployment and auto pruning.
- Implemented production API monitoring (Bash, Python, cron and Telegram alerts).
- Built and deployed Mintbot automation (GraphQL queries, retries, logging, cron).
- Designed backend and database deployment automation (SQL diff detection, DB cloning, SSH ProxyJump deployment, rollback logic, Discord notifications).
- Created reusable workflow library (Discord messaging, artifact upload, Trivy, Gitleaks, branch sync, auto update PR, auto label).
- Designed internal DevOps Dashboard architecture for CI health, PR freshness, repo analytics.
- Built GHCR base image pipelines with FFmpeg, Rust, and PHP extensions for faster CI builds.
- Standardized .github/ documentation, naming conventions, workflow structures.
- Introduced Dependabot for the backend repository and built Cloudflare Worker for CVE alerts to Discord.
- Implemented GitHub Actions enforcement: required checks, blocked outdated PRs, protected branches, mandatory reviews.
Hellmuth V.
Last position:
Embedded Software Architect / Team Coordinator at Provider of system solutions in the field of electric drives
- Analysis and inventory of a system consisting of 2 control units
- Creation and derivation of the static software architecture
- Optimization and standardization of structures for model-based control
- Creation of the dynamic software architecture
- Development of improvement proposals in workshops with the customer
Knud W.
Last position:
Lead Programmer, Architect and Deputy Product Owner at Bundesagentur für Arbeit
- Lead programmer, architect and deputy product owner
- Completed transition from zPDV to STEP
- Ensured quality of C++ and Perl sources through automated and manual checks
- Supported resolution of incidents and errors in testing
- Implemented batch for supplementary assignment of payment run numbers
- Implemented batch for distribution of SGB 2 information to the central payment unit
- Supported replacement of Solaris with Linux
- Upgraded gcc from 7.4 to 9.3
- Programmatically generated Makefiles from Borland projects for builds
- Extended funding data with new attribute “internship travel cost indicator”
- Programmatically generated XSD and WSDL files from IDL definitions
- Represented the product owner when needed
- Implemented batch for one-time payment processing
- Developed generator for Liquibase files
- Implemented and maintained regular anonymization of production data
- Supported migration from SLES 12 to SLES 15
- Supported introduction of mutual TLS
- Implemented batch for sending deletion impulses to EDA BE
- Organized script directory structure
- Investigated potential introduction of String-Latin and implemented minimal solution
- Remediated security findings identified by CheckMarx
- Supported PAP recalculations and general change notices
- Converted ERP interfaces from SOAP to REST
- Planned technical and business topics such as register modernization, cash register security, training costs, four-eyes principle
Discover over 15,000 top freelancers
Statistics of experts using GNU Make
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
1.7 years
Positions per freelancer
17
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Manufacturing
Certification focus areas
Information Technology, Product Development, Quality Assurance
Bachelor's degree or higher
100%
Master's degree or higher
57%
Doctorate
7%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 GNU Make
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.
GNU Make 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 (83%)
- Automotive (78%)
- Manufacturing (67%)
- Education (61%)
- Banking and Finance (44%)
- Healthcare (39%)
- Telecommunication (39%)
- Energy (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GNU Make does
GNU Make is a build automation tool that reads rules from a Makefile. It compares file timestamps and dependencies, then runs only the commands needed to produce targets such as binaries, libraries, generated files or documentation. Its concise syntax works well for repeatable local builds and automated pipelines.
Makefile design
Strong Makefiles express dependencies clearly and separate configuration from commands. Professionals use variables, pattern rules, include files, automatic variables and phony targets to keep larger build systems understandable. They also control quoting, shell behavior, parallel execution and failure handling instead of relying on fragile command chains.
- Model source, generated-file and package dependencies
- Add reusable targets for build, test, clean and release tasks
- Support local, cross-platform and cross-compilation workflows
- Document required tools and configuration for contributors
Ecosystem and tooling
GNU Make commonly coordinates GCC or Clang, linker tools, archivers, code generators and scripting languages. It can sit beside Autoconf, Automake, CMake, Meson or Ninja, either as the main interface or as part of a wider toolchain. Experts also connect it with Git, container builds, package managers and CI systems such as GitHub Actions, GitLab CI or Jenkins.
When expertise helps
Companies often bring in freelance specialists when a legacy Makefile has become difficult to change, builds are slow or results differ between machines. Expertise is also valuable during a migration from another build system, a move to cross-compilation, or the introduction of reproducible builds and automated release steps.
- Untangle circular, implicit or missing dependencies
- Reduce unnecessary rebuilds and improve parallel execution
- Port builds across Linux, macOS, Windows or embedded environments
- Connect Make targets with tests, packaging and deployment pipelines
Working across Germany
GNU Make supports distributed collaboration because its core files are text-based and fit naturally into version control. A Germany-based professional can work remotely with teams in different regions, while on-site collaboration may help when builds depend on proprietary hardware, laboratory equipment or restricted networks. Clear documentation and practical English or German communication keep changes reviewable.
Signs of strong professionals
The best GNU Make specialists understand the commands behind each target, not only the Makefile syntax. They inspect dependency graphs, shell exit behavior, environment variables and toolchain versions before changing rules. They add focused validation, explain trade-offs and leave a build process that other specialists can maintain without guesswork.
Frequently asked questions
Need clarity? These are the questions we hear most often about GNU Make.
GNU Make automates tasks that depend on files or other targets. Companies use it to compile source code, link binaries, generate documentation, run tests, package releases and coordinate repeatable commands in local or CI environments.
GNU Make is a direct build tool: teams write the dependency rules and commands in Makefiles. CMake and Meson usually generate build files from higher-level project descriptions, while Ninja focuses on fast execution; the right choice depends on portability, project structure and existing tooling.
A strong GNU Make professional usually understands shell scripting, Git, compiler and linker toolchains, Unix environments and CI configuration. Familiarity with C or C++, cross-compilation, containers and tools such as CMake or Autotools can also be important.
The required background depends on the build system’s scope and risk. A small Makefile cleanup may need focused knowledge of dependencies and shell commands, while embedded, cross-platform or release-critical work calls for a professional who has maintained complex toolchains and diagnosed build failures.
Yes. GNU Make files are text-based, versioned and well suited to remote review. Teams should agree on supported operating systems, shell behavior, toolchain setup and CI checks; on-site work becomes more relevant when builds depend on physical devices or restricted infrastructure.
Ask the specialist to explain dependency resolution, incremental builds, pattern rules, parallel execution and shell error handling. Good work includes clear targets, predictable configuration, useful diagnostics and tests that prove the build behaves consistently on a clean environment.
No. GNU Make runs on Linux, macOS and Windows environments, although shell commands and available tools can differ. A careful professional isolates platform-specific behavior, documents prerequisites and uses CI coverage to detect portability problems.
Bring in a GNU Make specialist when builds are slow, rebuild too much, fail inconsistently or are difficult to understand. Freelance expertise is also useful for modernizing legacy Makefiles, connecting targets to CI, supporting cross-compilation or evaluating a move to another build system.
The average hourly rate of freelancers in Germany who have used GNU Make in their recent projects is 89 €, which corresponds to a daily rate of about 712 € based on an 8-hour working day.
Of the freelancers in Germany who have used GNU Make in their recent projects, 100% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Germany who have used GNU Make in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Germany who have used GNU Make in their recent projects are German (100%), English (100%), and Spanish (28%).
The most common industries among freelancers in Germany who have used GNU Make in their recent projects are Information Technology (83%), Automotive (78%), and Manufacturing (67%).
The most common business areas among freelancers in Germany who have used GNU Make in their recent projects are Information Technology (100%), Product Development (94%), and Quality Assurance (72%).
Main locations of FRATCH Experts, who have recently used GNU Make
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
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Philipp Thomaschewski
FRATCH CEO
