Rust Experts in Berlin
matched in minutes from over 15,000 CVsHire experts who build secure backend services, high-performance applications and embedded software with Rust, while connecting it to existing cloud and systems infrastructure. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Rust
Thomas Ü.
Last position:
Head of Engineering - Midnight at IOG / Midnight
- Built and scaled a 35-member engineering team (Core Engineering, QA, and SRE) in 12 months, accelerating Midnight’s blockchain development on Parity’s Substrate framework.
- Defined strategic direction and aligned technology development with business objectives as a key member of the leadership.
- Optimized software development processes and implemented agile methodologies, enhancing operational efficiency and code security.
- Delivered projects in a fast-paced startup environment through effective project management and resource allocation.
Hamza K.
Last position:
Academic Research Contributor in Health Sector (Volunteer) at n/a
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Mario S.
Last position:
Interim CTO
Through Sourcegarden GmbH, ongoing engagement. Transitioning software development to agentic development in phases, from setup and pilots through transformation and handover.
Wolfram K.
Last position:
AI / Machine Learning Engineer (Projects & Applied AI) at UNIVERSITÉ PARIS 1 PANTHEON-SORBONNE & LIORA
- Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
- Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
- Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
- Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
- Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow
Raphael M.
Last position:
Founder / Quant Developer at Market Maker
- Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
- Data and trade architecture development for liquidity provision
Sebastian S.
Last position:
Group Product Manager – Digital Platform Discovery at SPREAD.AI
- Developed and implemented organization-wide discovery framework based on Ulwick’s Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
- Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
- Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
- Implemented OKR framework across 4 product teams; defined quarterly objectives with measurable key results (e.g., 40% reduction in manual integration effort, self-service adoption increase)
- Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
- Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers
Jad N.
Last position:
Software Developer at Side Project
- Vram.run: Rust, TypeScript, HF Inference API with 19 providers, 220+ HW configs, and 30+ cloud GPUs. Search a model to see which API providers serve it, which GPUs can run it locally (and how fast), and what cloud rental would cost. Or search your hardware and see what fits. Also includes a Rust CLI.
- Psychotron: JavaScript, Web Audio API, AudioWorklet, Canvas 2D. Front-end for flash fiction audiobook with Web Audio DSP chain featuring pitch-shifting, 12-voice chorus, flanger, 13-band EQ, and convolver reverb. Includes a 2D canvas effect morphing engine and synchronized teleprompter.
- RecentWork: Swift, macOS, FSEvents, launchd. macOS daemon that watches project directories and maintains a flat folder of symlinks to recently modified files. Homebrew installable.
- Mini-llm: Bash, macOS, launchd, Ollama, llama.cpp, MLX, Open WebUI. Single command that turns a Mac Mini into a headless AI server.
- ThatSlop: JavaScript. Chrome/Firefox extension for AI content detection on LinkedIn and Twitter.
- Smux: Bash, tmux. Human-friendly tmux wrapper that is Homebrew installable.
- Learn Rust Course: Rust. Course on Rust’s memory model for C++ programmers, written from experience of transitioning from C++ to Rust at Irreducible.
Daniel M.
Last position:
Founding Database Engineer at tonbo.io
Working on the next iteration of tonbo to make it the most flexible in-process analytical database in the market that scales and is operated with strong availability
Introduced object scope cache to the remote storage layer to avoid I/O churn
Working on refactoring WAL to support remote storage
Taking care of the health of the systems as well as designing the operational story and bringing them to production
Technologies: LSM, WAL, Arrow, Parquet, Rust
Volker K.
Last position:
Head of Engineering at Infoniqa
- Led engineering execution: roadmap planning, capacity alignment, risk management, dependencies, and delivery tracking.
- Consolidated multiple payroll product lines into a unified SaaS platform on Dynamics 365 Business Central, enabling scalable post-merger operations and reducing operational complexity across the portfolio.
- Restructured engineering and product teams in a remote-first setting across Germany, Austria and Poland, consisting of five cross-functional units: compliance/enabling, platform, DevOps and two stream-aligned teams with total FTE depending on phase of reorganisation.
- Rebuilt the mid-level leadership layer and mentored engineering leaders, establishing a leadership pipeline and strengthening architectural decision-making across teams for scalable growth, delivery ownership and predictability.
- Designed platform foundations and system boundaries using Team Topologies aligned structures, enabling scalable ownership, clear interfaces and parallel development across distributed teams.
- Spearheaded AI transformation by implementing AI-assisted SDLC practices using SpecKit and GitHub Actions for automated, executable specifications, while delivering agentic product capabilities by securely exposing platform data and services to AI agents and copilots via RAG-based retrieval pipelines and MCP-style extensions.
- Drove modularisation of tightly coupled legacy logic into independently deployable services, improving maintainability, testability and architectural clarity while preserving continuity through targeted, low-risk extraction rather than full rewrites.
- Established observability, CI/CD and DevOps governance as platform capabilities, increasing automated compliance gates from 25% to 75% and improving deployment cadence by 40% across 15+ product versions.
- Improved operational resilience using DORA-aligned practices (lead time ↓50%, SaaS MTTR ↓85%), strengthening reliability and reducing support overhead.
- Coordinated engineering recovery for the German payroll platform during a company-wide P0 ransomware incident; restored platform continuity within 72h, validated data integrity, and rolled out hardened runbooks and automated recovery playbooks.
- Responsible for budget compliance and cost oversight in Engineering, with limited P&L responsibility and participating in the annual COGS/OPEX/CAPEX planning cycle.
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.
Luca D.
Last position:
CTO & Co-Founder at Lucent Data GmbH
- Built a warehouse native customer data platform from scratch
- Successfully onboarded the first customer
- Built the first engineering team of 3 engineers
- Raised 1M€ in venture capital
Discover over 15,000 top freelancers
Statistics of experts using Rust
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.2 years (Germany: 3 years)
Positions per freelancer
9 (Germany: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
50% (Germany: 63%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin using Rust
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Rust 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 (92%)
- Banking and Finance (58%)
- Automotive (50%)
- Education (42%)
- Healthcare (42%)
- Media and Entertainment (33%)
- Pharmaceutical (25%)
- Professional Services (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Systems Rust Handles
Rust is a systems programming language focused on memory safety, predictable performance and dependable concurrency. Companies use it for backend services, command-line tools, networking software, embedded systems and infrastructure components where reliability matters. Its ownership model catches many classes of defects before deployment without requiring a garbage collector.
Core Ecosystem
The Rust ecosystem includes Cargo for dependency management and builds, rustc for compilation, and crates.io for reusable libraries. Professionals commonly work with Tokio for asynchronous services, Serde for data serialization, Axum or Actix Web for HTTP applications, and SQLx or Diesel for database access. WebAssembly, embedded Rust and FFI integrations extend its reach beyond standalone services.
Typical Deliverables
Rust specialists contribute to systems that need efficient execution, strong isolation or careful resource use.
- High-throughput APIs, gateways and event-driven services
- Network protocols, storage engines and command-line tools
- Embedded firmware and edge software
- WebAssembly modules for browser or server workloads
When Expertise Matters
Companies bring in freelance Rust expertise when a prototype must become a production service, a performance bottleneck needs investigation, or a team is introducing Rust beside Java, Go, C++ or Python. Specialists can establish project structure, review unsafe code, improve test coverage and create maintainable interfaces with existing systems. Berlin teams may also use remote collaboration for focused delivery while coordinating on-site workshops when product or hardware work requires it.
Skills Beyond Rust
Strong professionals combine language knowledge with operating systems, networking, databases and observability. They understand async runtimes, thread safety, profiling, containerization and CI pipelines, and can explain trade-offs to teams using other languages. For embedded work, relevant skills may include hardware interfaces, cross-compilation and real-time constraints; for cloud services, they may include Kubernetes, Linux and distributed systems.
Signs of Quality
Look for specialists who can explain ownership and lifetimes in practical terms, choose safe abstractions and document decisions clearly. Review code for readable error handling, focused modules, useful tests and sensible dependency choices rather than clever syntax alone. A strong Rust professional measures performance under realistic load, treats unsafe blocks as exceptional and leaves the team with build, deployment and maintenance practices it can operate confidently.
Frequently asked questions
Before you brief your next project: the most common questions about Rust.
Rust is used for backend services, networking tools, command-line applications, embedded firmware, storage systems and WebAssembly modules. It suits products that need strong memory safety, efficient execution and dependable concurrency.
Rust provides low-level control comparable to C++ while using its ownership and borrowing model to prevent many memory errors at compile time. Compared with Go, it generally offers more control over resource use and concurrency, though its learning curve and compile-time checks can require more specialist knowledge.
A strong Rust freelancer may also work with Linux, networking, databases, Docker, Kubernetes, observability and CI pipelines. Embedded projects often require cross-compilation, hardware interfaces and real-time design, while web services may require Tokio, HTTP frameworks and cloud infrastructure.
The right level depends on the risk and scope of the work, not a fixed duration. Rust specialists should understand ownership, lifetimes, traits, error handling and testing; production systems also benefit from experience with deployment, profiling and integration with the existing stack.
Yes. Rust work is often well suited to remote collaboration through repositories, issue tracking, code review and automated builds. Teams in Berlin should define communication routines, documentation standards and any on-site needs early, especially for embedded products or hardware-connected systems.
Choose Rust when predictable performance, resource efficiency, security or concurrency are central to the product. It may be less suitable when a team needs very rapid experimentation with a small existing Python or JavaScript codebase and has no plan to support a systems-oriented workflow.
Review a specialist's approach to ownership, error handling, testing and dependency management. Ask how they profile real workloads, limit unsafe code and make operational behavior visible; quality Rust work should be understandable, measurable and maintainable by the wider team.
The ownership model, lifetimes and compiler feedback can feel unfamiliar to professionals coming from garbage-collected languages. Rust adoption is smoother when the team starts with clear boundaries, uses established crates, invests in code review and receives practical guidance on async design and error handling.
The average hourly rate of freelancers in Berlin, Germany who have used Rust in their recent projects is 136 €, which corresponds to a daily rate of about 1,092 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Rust in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Rust in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Berlin, Germany who have used Rust in their recent projects are German (100%), English (100%), and Spanish (42%).
The most common industries among freelancers in Berlin, Germany who have used Rust in their recent projects are Information Technology (92%), Banking and Finance (58%), and Automotive (50%).
The most common business areas among freelancers in Berlin, Germany who have used Rust in their recent projects are Information Technology (100%), Product Development (92%), and Business Intelligence (50%).
Main locations of FRATCH Experts, who have recently used Rust
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 
Cologne Request a free demo
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Philipp Thomaschewski
FRATCH CEO
