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Data Systems Rust Developers in France
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Built through years working with teams and engineers in the Rust ecosystem.
We specialize in systems programming, database internals, and performance-critical infrastructure.
Focused, relevant introductions from a curated network.
Available Developers
Quant Dev
Engineered quantitative trading algorithms using Python and Rust, optimizing execution on cloud platforms. Automated deployment pipelines with Kubernetes for seamless CI/CD.
- Integrated AWS for cloud-based computation
- Utilized Docker for containerized environments
- Implemented robust CI/CD with GitLab
Tech Lead
Led development of distributed systems using NodeJs and Rust for real-time data processing. Implemented Kafka for event-driven architectures to handle high-throughput data streams. Utilized Redis for caching and fast data access.
- Integrated GitlabCI for automated testing and deployments
- Developed monitoring solutions with Kibana
- Optimized data flow with advanced queuing techniques
Staff Data Infrastructure Engineer
- Led migration of monolithic system to microservices architecture
- Built high-throughput data pipeline processing 1M+ events per second
- Designed and implemented real-time monitoring and alerting platform
Staff Software Engineer
Architected scalable data processing systems with Scala and FS2 for large-scale analytics. Developed RESTful APIs using Http4s, ensuring high throughput and low latency.
- Led migration to cloud infrastructure using Kubernetes
- Enhanced data serialization with Circe for JSON processing
- Designed event-driven architectures using Kafka
Senior Software Engineer
Architected scalable microservices using Rust and Python, focusing on data processing pipelines. Developed cross-language interoperability solutions with C++ and Java for legacy system integration. Pioneered the use of functional programming techniques in Clojure for concurrent data processing.
- Implemented machine learning algorithms in Python
- Optimized C++ code for high-throughput applications
- Conducted performance tuning for JVM-based services
Tech Lead Data Platform
Led the development of a data ingestion pipeline using Rust and Scala, handling petabyte-scale datasets. Optimized SQL queries for real-time analytics and reporting.
- Managed data transformation processes with Typescript
- Automated workflow orchestration with Bash scripting
- Enhanced data security and compliance protocols
Senior Data / Platform Engineer - Full-Stack Developer
Architected scalable data pipelines in Scala and Java for real-time analytics. Led the migration of monolithic platforms to microservices, improving deployment efficiency.
- Built distributed systems handling petabyte-scale data
- Optimized machine learning workflows with Python
- Developed cross-platform applications using Dart
Lead Engineer, Growth
Orchestrated the development of asynchronous Rust-based systems for scalable data processing. Enhanced growth metrics through data-driven engineering solutions.
- Implemented distributed systems with Go
- Automated deployment pipelines using Bash scripts
- Optimized SQL queries for large-scale databases
Software Development Engineer
Engineered Kafka-based real-time data pipelines using Rust and Go. Developed backend services focusing on high-throughput processing and low-latency communication.
- Built a Rust-based event-driven architecture
- Implemented C++ modules for distributed systems
- Optimized JavaScript code for server-side applications
Protocol Engineer
Engineered consensus protocols for blockchain systems using Go, focusing on scalability and security. Developed data pipelines with Airflow and dbt, improving data processing efficiency.
- Designed EVM-compatible smart contract frameworks
- Implemented SQL-based analytics solutions
- Automated ETL processes for large datasets
Senior Software Engineer
Designed cloud infrastructure solutions with a focus on scalability and reliability, integrating Rust for backend services. Developed database schemas optimized for high-performance applications.
- Architected on-premise systems with advanced Rust features
- Led web development projects with a focus on user-centric design
- Implemented RESTful APIs for seamless client-server communication
Java Technical Lead
Developed high-throughput financial transaction systems using Java and Rust. Specialized in building scalable backend services for real-time data processing. Integrated cross-platform mobile applications with Swift and Rust for enhanced performance.
- Optimized SQL queries for complex data retrieval in large databases
- Implemented C/C++ modules for high-performance computing tasks
- Designed Python-based automation scripts for testing environments
Senior Software Engineer
Built a web-scale clean-content extraction service in Rust and an indexer for thousands of technical and manufacturing documents. Current systems combine Haskell, TypeScript, and Effect-based workflows for RAG agents, document comparison, product recommendations, and PLM traceability.
- Kubernetes crawler deployment
- RAG recommendation pipelines
- Functional Scala production systems
- React technical-document interfaces
Senior Developer & ML Engineer
Built machine learning models in Python for predictive analytics in healthcare, integrating Rust for performance optimization. Designed and implemented C++ algorithms for computer vision applications.
- Migrated legacy systems from C to C#
- Optimized SQL databases for large-scale data processing
- Developed real-time data visualization tools
Senior Protocol Engineer
Architected consensus protocols for blockchain networks, ensuring high throughput and security. Spearheaded the development of low-latency communication systems used in financial transactions.
- Created scalable P2P network protocols
- Enhanced cryptographic algorithms for secure communication
- Integrated distributed ledger technologies with existing infrastructures