Full-stack · Data · DevOps

Software, data and infrastructure, engineered for production.

Chyr Systems builds software, data and infrastructure end to end, from business requirements to a system running in production.

Start a project See how we work

Full-stack development

We build your entire system from the ground up, with no additional developers to hire.

DevOps and data are where we started. With current AI models in our workflow, the two of us also design and build the application itself: frontend, backend, data and infrastructure. More than 20 years of combined engineering experience, applied end to end.

Plan your build

  1. 01

    Business analysis

    Map the process, the users and the constraints first, and agree on how success will be measured.

  2. 02

    Frontend

    Websites and web applications that are fast, accessible and easy to change.

  3. 03

    Backend & APIs

    Business logic, APIs, authentication and integrations with the tools you already use.

  4. 04

    Data

    Databases, pipelines and reporting, so the system produces numbers the business can act on.

  5. 05

    Infrastructure

    Cloud, CI/CD and monitoring, sized for the actual load and cost-tracked from day one.

Frontend → Backend → Data → Infrastructure

How we use AI

  • We use the latest AI models across the build: requirements analysis, frontend and backend code, tests, migrations and documentation.
  • That lets a two-person team deliver what usually takes a larger one, so you do not need to hire additional developers.
  • Every change is reviewed and tested by one of us before it ships.
  • Shorter timelines and right-sized infrastructure keep both the project budget and the running cost down.

Services

Data Engineering

Analytics Engineering

Metrics layers, semantic models, and BI dashboards your stakeholders trust.

Power BI · Tableau · SQL

Data Engineering

Data Pipelines

ELT pipelines and warehouse modeling on Azure, SQL Server, Oracle, and modern cloud warehouses.

Azure · SQL Server · Oracle · BigQuery

Data Engineering

Data Quality & Governance

Tests, lineage, contracts, and access controls so data stays correct as it scales.

SQL Server · Power BI · Data Contracts

Data Engineering

ML & Reporting Enablement

Productionize notebooks, reports, and ML models with the same reliability bar as the rest of your stack.

Python · Power BI · Azure ML

DevOps Engineering

CI/CD & Release Engineering

GitHub Actions, ArgoCD, GitOps. Repeatable, reversible, observable deployments.

GitHub Actions · ArgoCD · GitOps

DevOps Engineering

Cloud Infrastructure

AWS and Azure foundations with Terraform/IaC, networking, and cost-aware design.

AWS · Azure · Terraform

DevOps Engineering

Observability & SRE

Logs, metrics, traces, SLOs, and on-call runbooks tuned to what your team actually needs.

Prometheus · New Relic · Grafana · OTel

DevOps Engineering

Platform & DevEx

Internal platforms, Kubernetes, and developer tooling that compounds engineering velocity.

Kubernetes · Helm · Argo

How we work

Three phases, one team, end to end.

Each phase ends with something concrete you can review before the next one starts.

Talk to us

  1. PHASE 01

    Diagnose

    Audit your current stack, identify the highest-leverage problems, and align on outcomes.

    You get

    Audit report and a prioritised roadmap

  2. PHASE 02

    Design

    Propose a target architecture, sequence the work, and plan for safe rollout and rollback.

    You get

    Target architecture and rollout plan

  3. PHASE 03

    Deliver

    Build, ship, and document. Hand off to your team with the context they need to operate it.

    You get

    Production system, runbooks and handoff

Principles

Engineering principles, not pitch deck slogans.

  1. 01

    Reliable by default

    High availability, graceful degradation, and recovery are built in from day one, not bolted on after the first outage.

  2. 02

    Observable from day one

    Every system we ship has logs, metrics, traces, and dashboards before it serves a single request.

  3. 03

    Documented for handoff

    Architecture decisions, runbooks, and onboarding docs are part of the deliverable, not an afterthought.

The engineers behind Chyr

A two-engineer team, accountable end to end. The engineers you hire are the engineers who design, build, and operate your systems. No rotating contractors, no handoffs.

Camilo Hernández

LinkedIn

DevOps Engineer · Co-founder

Builds and operates cloud platforms. Background in infrastructure, CI/CD, and reliability engineering for early-stage and growth-stage teams.

AWS · Terraform · Kubernetes · CI/CD · Observability

Yulieth Ramírez

LinkedIn

Data Analyst & Engineer · Co-founder

Designs data pipelines and analytics systems. Background in BI, SQL modeling, and turning raw data into reliable reporting for decision-makers.

Azure · Oracle · SQL Server · Power BI · Tableau

Let's talk about your infrastructure

Tell us about your stack and what you're trying to ship. We'll reply within one business day.

Email

chyrengineers@gmail.com