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Cloud Golang Developers in Canada

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

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

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

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

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

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

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

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

Built a horizontally scaled Go service with in-memory and Redis caching, distributed locking, and TTL fail-safety, reducing p90 latency by 80% and infrastructure cost by 60%. Designed a fault-tolerant ingestion pipeline that transformed FTP CSV data into OpenSearch indexes, cutting processing time from one hour to ten minutes.

• GraphQL APIs for enterprise sales portals
• React and Next.js application development
• C# .NET service integration
• Non-relational and object-storage data models

Led the development of a distributed microservices architecture for a high-traffic e-commerce platform, utilizing gRPC for efficient inter-service communication. Spearheaded the implementation of a comprehensive CI/CD pipeline, integrating golang-ci linter for code quality assurance across multiple teams. Designed and optimized RESTful APIs for scalable financial transaction systems in the fintech domain.

• Architected a real-time data processing pipeline for IoT devices.
• Developed a custom load balancer for cloud-native applications.
• Implemented a caching layer using Go for a large-scale SaaS product.

Designed and implemented distributed systems for financial data processing, optimizing for low-latency transactions. Led the development of a microservices architecture for a high-traffic e-commerce platform, ensuring scalability and fault tolerance. Pioneered the integration of real-time analytics into a legacy system, significantly improving data insights and decision-making.

• Architected a multi-threaded event-driven system for trading platforms
• Developed RESTful APIs for IoT devices in smart home applications
• Migrated monolithic applications to cloud-native microservices
• Implemented CI/CD pipelines for automated deployment and testing

Built a Python/Linux network-control system using RabbitMQ to apply distributed testbed configurations, including dynamic topology changes. Applies Go, PostgreSQL, Redis, Docker, and Kubernetes to backend systems involving REST APIs, data pipelines, concurrency, and network programming.

• Implemented Docker Swarm deployments
• Used sqlc and goose migrations
• Configured S3 and CloudFront delivery
• Studied distributed coordination with Raft