EST. 2009
We partner with engineering teams to automate cloud delivery, harden SecDevOps pipelines, and safely integrate AI into production workflows without risking intellectual property or runaway cloud bills.
From multi-tenant cloud cost discipline to automated vulnerability triage and privacy-preserving AI architectures, our delivery practices guarantee observable operational outcomes.
Modular Terraform architecture, resource rightsizing, and cost governance across Azure and hybrid estates to eliminate infrastructure drag and uncontrolled cloud sprawl.
Embedding automated vulnerability scanning (Tenable API), policy-as-code, and zero-trust identity (Entra ID) into CI/CD release pipelines to eliminate deployment friction and prevent production breaches.
Assisting organizations in moving from AI hype to controlled operational workflows: private LLM perimeters, structured prompt architecture, automated operations runbooks, and strict API token cost caps.
AI initiatives shouldn't compromise your intellectual property or generate uncontrolled token bills. We institute architectural gates that make generative intelligence reproducible, secure, and cost-predictable.
Keeping internal company data, proprietary IP, and code out of public training models with secure private endpoints and dedicated tenancy.
Automating maintenance runbooks, telemetry log parsing, and repetitive code workflows safely with deterministic guardrails.
Implementing hard token spending limits, intelligent model routing, and end-to-end observability so AI projects don't create surprise cloud bills.
Clear deliverables, predictable timeframes, and direct technical stewardship from senior architects.
Fixed-scope cloud infrastructure audit, pipeline vulnerability triage, and an actionable IaC roadmap designed for rapid risk mitigation.
Ongoing advisory for cloud governance, platform reliability, cost monitoring, and executive technical oversight tailored to your team's cadence.
Hands-on team enablement: establishing security boundaries, building runbooks, and testing production prompt flows with your engineers.
Founded in 2009, JuansTEC has delivered high-impact technology solutions across evolving enterprise landscapes, combining long-term systems engineering discipline with modern cloud and AI governance.
While market technology stacks shift rapidly, our foundational principles remain invariant: zero-trust security postures, auditable and reproducible infrastructure as code, and uncompromising cost efficiency. We do not implement experimental trends without rigorous production validation.
Direct involvement on every client engagement ensures enterprise architectures are designed with deep technical rigor, resilient security patterns, and actionable business alignment.
Connect directly with our senior cloud and AI engineering leadership to assess your infrastructure, review pipeline security, or plan private AI workflows.