Hire
Backend Rust Developers in Canada

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

Designed and developed distributed backend systems using Rust and Go, focusing on scalability and fault tolerance. Enhanced data processing pipelines in Java and Python to improve throughput and efficiency.

• Built microservices with TypeScript for web applications
• Integrated legacy systems with modern C interfaces
• Improved API performance and security features

Architected secure data management systems using Rust and C#, focusing on encryption and access control. Led the development of a cross-platform incident response tool integrating SQL Server and Oracle databases.

• Designed real-time threat detection algorithms
• Developed secure APIs with token-based authentication
• Implemented multi-factor authentication systems

Developed a scalable video streaming platform utilizing GStreamer and HLS technologies. Designed WebAssembly modules for high-performance media processing. Implemented Kubernetes-based orchestration for cloud-native video services on GCP.

• Optimized video transcoding pipelines for real-time streaming
• Architected multi-region deployment strategies on GCP
• Integrated WebAssembly for enhanced media codec efficiency

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

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

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

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

Architected distributed systems for high-frequency trading platforms, focusing on low-latency and fault-tolerance using Rust. Designed and implemented microservices in Erlang for real-time financial data processing.

• Built RESTful APIs in Dart for cloud-native applications
• Contributed to C# libraries for data serialization
• Developed Java middleware for message queue systems

Developed decentralized applications using Solidity and Rust, integrating with Ethereum smart contracts. Built scalable web services using TypeScript and Node.js for real-time data processing.

• Automated testing frameworks in JavaScript
• Implemented RESTful APIs with Python
• Optimized Java microservices for high throughput

Architected large-scale microservices using REST, GraphQL, and gRPC for diverse applications. Spearheaded API design to support high-traffic environments and ensure efficient data flow. Led system design initiatives for cross-platform integration.

• Implemented GraphQL for dynamic query handling in complex systems
• Redesigned legacy systems for improved scalability and maintainability
• Conducted performance tuning for gRPC services in cloud environments

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

Co-founded a tech startup, leading the development of scalable backend systems using Rust and Go. Architected databases and backend services to support high-volume transaction processing.

• Developed full-stack applications with Rust and JavaScript
• Implemented data pipelines for real-time analytics
• Led cross-functional teams in agile environments

Led the design of distributed systems using Rust and Tokio, focusing on concurrent processing. Spearheaded the development of fault-tolerant architectures for critical applications.

• Implemented async communication protocols in Zig.
• Optimized network throughput in distributed environments.
• Architected cloud-native solutions for enterprise needs.