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Embedded Rust Developers in Canada







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
Senior Software Developer
Architected large-scale distributed systems using Rust and C++. Led containerization projects with Kubernetes and Docker for scalable deployments. Automated infrastructure management using Terraform for cloud-native applications.
- Developed container orchestration solutions with Kubernetes
- Automated CI/CD pipelines using Docker
- Managed infrastructure as code with Terraform
Firmware Developer
Developed firmware solutions using Rust for IoT devices. Implemented communication protocols in C and C++ for embedded systems.
- Programmed microcontrollers with C#
- Enhanced security features with Python
- Integrated JavaScript for device interfaces
Senior Embedded Rust 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
Software Developer
Developed high-performance applications using Rust, Go, and TypeScript. Designed complex systems with a focus on concurrency and data integrity. Expertise in utilizing gRPC for efficient inter-service communication.
- Built high-performance systems with Rust and Go
- Utilized gRPC for service communication
- Ensured data integrity in complex systems
Senior Software & Systems Engineer
Builds low-level Linux and bare-metal networking systems, including kernel-facing components, TCP/IP infrastructure, BGP routing, VLAN segmentation, and WireGuard-based secure control planes. Has optimized heterogeneous CPU/GPU runtimes with JAX and OpenXLA and implemented high-throughput computer-vision execution paths using native Rust and C extensions.
- Operates bare-metal Kubernetes clusters with K3s and MetalLB
- Develops Rust Python extensions using pyo3 and maturin
- Designs time-series storage with PostgreSQL and TimescaleDB
- Implements infrastructure automation through Terraform and AWS
Software Engineer Intern
Contributed to a telecom network-intelligence platform covering 4G EPC, 5G Core, IMS, signaling stress tests, failover, degradation analysis, and SLA assessment. Built Python APIs and PySpark query flows with cached anomaly baselines, parameter-hash invalidation, duplicate-job locking, and circuit-breaker protection.
- Added live report progress and ETA tracking
- Implemented exponential-backoff retries
- Wrote Pytest integration coverage
- Diagnosed Jenkins verification pipeline failures
Senior Software Engineer
Builds high-throughput, low-latency distributed systems for real-time trading, regulated payments, and firehose-scale data ingestion using functional Scala and concurrent streaming architectures. Has modernized legacy JVM platforms into independently deployable services and operated production workloads across public-cloud Kubernetes environments.
- Akka-to-Pekko zero-downtime migration
- Kafka and Kinesis event pipelines
- Cats-Effect, FS2, and ZIO
- PostgreSQL service backends
Software Engineer / Data Engineer
Engineered high-performance data processing pipelines using Scala and Rust, focusing on real-time analytics. Designed and maintained distributed systems for large-scale data ingestion and processing.
- Built microservices architecture using Go and Java
- Integrated TypeScript for front-end data visualization
- Optimized C++ algorithms for data compression
Teaching Assistant - Real-time Systems and Control Applications
Implemented a mixed-precision GMRES sparse linear solver with iterative refinement for scientific computing workloads. Developed a video-conferencing capstone combining human-pose estimation, motion annotations, and browser real-time media transport.
- Linux kernel scheduler laboratory instruction
- Mutex and semaphore synchronization experiments
- WebRTC real-time media integration
- Qt data-driven visualization widgets
Co-Founder & Head of Engineering
Builds data platforms and ingestion services with asynchronous Rust, including an open-source ETL framework, a Tokio-based Elasticsearch client, and production APIs for importing and exporting pipeline data. The work combines Rust service architecture with developer-facing tooling for large-scale data workflows.
- Computer-vision trend detection pipelines
- RAG agents across web sources
- Next.js product development
- Python data-platform services
Senior Software Engineer
Engineered scalable backend systems using Rust, with integrations in Node.js for real-time applications. Developed cross-platform services with a focus on low-latency data processing.
- Built concurrent data pipelines in Go
- Designed scalable architecture for cloud-native applications
- Implemented security protocols in distributed systems
Ethereum Core Developer
Contributed to Ethereum's consensus protocol optimizations using Rust and Solidity. Developed smart contracts and implemented improvements to Ethereum Virtual Machine performance.
- Designed secure transaction systems with Haskell
- Refactored C++ modules for blockchain scalability
- Enhanced Python tooling for blockchain analytics
Design Verification Engineer
Conducted design verification for ARM-based systems using C++ and Python. Developed test benches to validate hardware designs through simulation and emulation.
- Authored verification scripts in Rust
- Analyzed LLVM IR for compiler optimizations
- Utilized ARM assembly for low-level testing
Software Developer Intern
Developed cross-platform applications in Rust, focusing on system-level programming and performance optimization. Contributed to Go-based projects involving network protocol implementations.
- Implemented C++ modules for embedded systems
- Created Python scripts for automated testing
- Developed TypeScript tools for frontend integration
Technical Lead
Engineered cloud infrastructure solutions, optimizing resource usage and reducing costs by 40%. Led R&D efforts on distributed systems, transforming prototypes into production-ready services.
- Designed scalable API architectures
- Managed cross-functional engineering teams
- Pioneered cloud-native development practices