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Backend Golang Developers in Canada

Engineered distributed systems with Golang and gRPC for high-concurrency environments. Developed robust REST APIs for microservices architecture.

• Distributed systems with Golang and gRPC
• High-concurrency environments
• Robust REST API development
• Microservices architecture expertise

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

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

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

Maintains and extends enterprise platforms spanning Go, Python, .NET, React, and TypeScript, with REST APIs and microservice deployments on Azure and AWS. Works across production application layers, relational and document databases, CI/CD automation, and LLM-based integrations.

• Developed applications with ASP.NET Core
• Built Python services using Django and FastAPI
• Worked with SQL Server, Oracle, and MongoDB
• Automated delivery through Azure DevOps and Jenkins

Develops distributed backend systems for loyalty, fintech, logistics, and SaaS workloads using Go and Node.js, with event-driven processing and REST/gRPC interfaces. Designed production workflows spanning requirements, implementation, monitoring, and AI-assisted delivery automation.

• Spec-driven PRD-to-Jira automation
• High-scale asynchronous service architectures
• Java-based enterprise platform development
• Team-wide AI code review tooling

Built a Go REST API for tracking hockey players and teams with PostgreSQL, SQLC, Goose, Docker, JWT authentication, password hashing, and caching. Implemented a Python command-line Monopoly engine with object-oriented domain models, purchase rules, jail state, and interactive turn handling.

• Generated schema-driven database access with SQLC
• Applied Goose migrations to PostgreSQL schemas
• Implemented authenticated API sessions with JWTs
• Modeled game-state transitions and property ownership rules

Built scalable backend solutions using Python and Golang for financial services applications. Developed a robust data processing pipeline leveraging Rust for high-performance computing tasks.

• Created Perl scripts for legacy system integration
• Designed Bash automation scripts for system maintenance
• Enhanced PHP applications for improved data security

Maintained Go microservices for telecom network monitoring, including probe orchestration and subscriber-monitoring workflows running on Kubernetes. Operated Kafka-based data flows with Elasticsearch, Prometheus, and Grafana, diagnosing distributed failures through logs, metrics, and tracing.

• Docker-based service packaging
• GitLab CI/CD pipelines
• Real-time network observability
• Microservice complexity reduction

Architected Kubernetes-deployed Go services for device provisioning, telemetry ingestion, scheduled events, energy-market bidding, and digital-twin simulation. The asset-metrics service was tested at 10,000 metrics per second, while the digital-twin API supports real-time and accelerated electrical-system emulation.

• Created custom Apache NiFi processors
• Designed JSON-schema-driven device provisioning
• Built Python SDKs for simulation authoring
• Integrated Kafka, MQTT, and Azure Event Hub

Developed scalable microservices in Golang for a cloud-based platform, optimizing resource allocation through dynamic load balancing. Engineered a distributed caching layer using Python to enhance data retrieval speeds by 30% in high-traffic applications.

• Implemented TypeScript-based client-side application for real-time data visualization
• Integrated C# components with existing Java backend for seamless API communication
• Designed Java microservice architecture supporting 50,000 concurrent users

Architected a decentralized P2P network for a blockchain platform, enabling secure and efficient transactions. Led development of a high-performance API gateway using Kong CLI, handling millions of API requests per day. Spearheaded the integration of Golang-based services with legacy Ruby on Rails systems, ensuring seamless interoperability.

• Designed fault-tolerant distributed systems for financial services
• Developed custom consensus algorithms for blockchain networks
• Optimized Golang services for high concurrency and low latency
• Implemented security protocols for API authentication and authorization

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

Implemented Go services and Temporal workflows for digital-preservation ingest and automation on Kubernetes. Designed distributed processing and cloud-storage migration pipelines spanning S3, Azure, and Backblaze.

• Built integrations for Slack, Teams, QuickBooks, and Xero
• Created Stripe and calendar synchronization adapters
• Operated Loki, Grafana, and Prometheus monitoring
• Developed containerized CI/CD automation for platform services