Hire Contract
Backend Golang Developers in Canada
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Built through years working with teams and engineers in the Golang ecosystem.
We specialize in backend platforms, cloud-native services, and distributed systems.
Focused, relevant introductions from a curated network.
Available Developers
Software Engineer 4
Designed and implemented high-performance APIs for e-commerce platforms, optimizing data processing pipelines for real-time analytics. Developed scalable microservices architecture for a financial application, ensuring seamless integration with third-party payment gateways.
- Led migration of legacy systems to cloud-native architecture
- Implemented caching strategies to reduce API response times by 50%
- Developed a custom load balancer for distributed database systems
Senior Software Developer
Architected a high-concurrency microservices platform enabling seamless scalability for large-scale applications. Designed fault-tolerant systems using event-driven architecture and gRPC for robust service communication.
- Developed a distributed logging system for real-time analytics
- Optimized Go routines for parallel processing of massive datasets
- Integrated circuit breaker patterns to enhance system resilience
Senior Go Backend 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
Co-Founder & Head of Engineering
Builds production Rust APIs and data-ingestion platforms, including an open-source ETL framework and an asynchronous Elasticsearch client running on Tokio. Currently develops computer-vision pipelines for runway imagery and retrieval-augmented agents that synthesize trend data from editorial, social, and retail sources.
- Open-source Rust ETL framework design
- Asynchronous Elasticsearch client implementation
- Next.js and TypeScript product development
- Multi-source web data extraction pipelines
Generative AI Tech Lead / Machine Learning Engineer
Led the development of generative AI models for natural language processing tasks. Implemented machine learning pipelines to deploy scalable AI solutions in production environments. Pioneered the integration of Rust for performance-critical components in AI frameworks.
- Developed custom neural network architectures
- Deployed ML models using cloud-based infrastructure
- Automated data preprocessing pipelines in Python
- Implemented TypeScript for frontend AI interfaces