Software Engineering
Modern web platforms, backend services, APIs, integrations and internal systems. We focus on clean boundaries, observable services, secure identity and codebases that remain maintainable after launch.
From a new digital product to the infrastructure behind an existing estate, Cloudsyx brings application, cloud, data, security and operational engineering into one delivery model.
Modern web platforms, backend services, APIs, integrations and internal systems. We focus on clean boundaries, observable services, secure identity and codebases that remain maintainable after launch.
Applied AI rather than AI theatre: retrieval-augmented generation, document intelligence, computer vision, data pipelines, analytics and AI-enabled workflows tied to defined operational use cases.
Cloud architecture, workload migration, containers, networking, identity, storage, backup, observability and cost-aware infrastructure design across modern cloud environments.
Practical security engineering covering identity and access, secure application delivery, secrets, endpoint controls, logging, vulnerability management and security-aware architecture.
Technology operations covering infrastructure, endpoints, networking, monitoring, incident handling and service continuity. The emphasis is on visibility, ownership and predictable response.
CI/CD, infrastructure-as-code, automated testing, release controls and operational tooling that reduce configuration drift and make deployments repeatable.
We start by understanding the workflow, constraints and existing estate. Architecture follows the requirement, not the other way around. Delivery then moves towards a production-ready system with observability, security and operational ownership built in.
Typical technologies include TypeScript, React, Next.js, Node.js, Python, PostgreSQL, REST APIs, containers, cloud platforms, CI/CD, infrastructure-as-code, machine-learning tooling and modern AI model integrations.