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Cloudynix
Engineering consultancy · Vancouver, Canada

Build reliable software. Scale with confidence.

Cloud-native software engineering, scalable data platforms, and AI-powered solutions for modern businesses.

Architecture first Security-minded Built to operate

What we do

Engineering for systems that matter.

From a critical service to an entire platform, we help teams make sound technical decisions and ship software they can confidently own.

Cloud engineering

Secure, observable infrastructure designed for change—not just launch day.

  • Cloud architecture
  • Kubernetes & DevOps
  • Platform reliability
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Software development

Maintainable APIs and distributed systems built around clear business boundaries.

  • Backend platforms
  • Microservices
  • Event-driven systems
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Data engineering

Dependable data platforms that move information from source to decision.

  • ETL & ELT pipelines
  • Streaming data
  • Cloud warehousing
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AI engineering

Grounded AI systems designed with evaluation, security, and operational reality in mind.

  • RAG systems
  • AI agents
  • LLM integration
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Technology, in context

The right tools for the system.

We choose technology for fit, longevity, and operational clarity—not novelty. Our experience spans the application, data, infrastructure, and intelligence layers.

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.NETC#PythonTypeScriptPostgreSQLKafkaRedisDockerKubernetesAWSAzureGoogle CloudTerraformOpenTelemetryOpenAILangChain

Selected work

Systems designed to endure.

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Distributed systems

Event-driven commerce platform

A resilient order platform designed to handle demand spikes without coupling business-critical services.

.NETKafkaPostgreSQL
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Data engineering

Cloud analytics data platform

A governed analytics foundation that turns fragmented operational data into dependable business insight.

PythonAirflowBigQuery
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AI engineering

Enterprise knowledge assistant

A secure retrieval system that helps teams find precise answers across internal technical knowledge.

PythonOpenAILangChain
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Engineering insights

Clear thinking, shared.

Browse all articles
Distributed Systems 3 min read

Designing event-driven systems for failure

A practical guide to the boundaries, delivery semantics, and observability decisions that make asynchronous systems reliable.

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AI Engineering 2 min read

Production-ready RAG: beyond the demo

Retrieval quality, evaluation, permissions, and operations are what turn a convincing prototype into a dependable knowledge system.

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Let's build well

Have a complex engineering challenge?

Tell us what you're working through. We'll bring a clear technical perspective to the first conversation.

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