Jhonatan Alves
Jhonatan Alves

Front-End Software Engineer

Actively looking · Member since 13 Aug 2026
Message
Location
Bauru, Brazil
Desired salary
36k–58k USD/yearly
Work preference
Remote Only / Full Time, Contract
Experience level
Mid

About

Professional summary

I am a Front-End Software Engineer with more than five years of experience building scalable, high-performance web applications in startup environments. My core expertise is React, TypeScript, Next.js, and modern JavaScript, complemented by growing full-stack experience with Node.js, NestJS, and PostgreSQL.

I currently build frontend experiences for enterprise AI agent governance, helping users gain visibility, control, and confidence over autonomous agent actions in production workflows. I enjoy translating complex AI safety, auditability, and workflow requirements into intuitive, reliable user experiences.

I have a strong record of improving product performance and automating manual processes. In previous roles, I reduced manual data-entry work by up to 90%, improved data-loading times by more than 65%, and optimized rendering performance for data-heavy interfaces.

I am comfortable owning features end to end, from designing REST and GraphQL API integrations through delivering tested production releases. I work with unit, end-to-end, and UI interaction testing using Jest, Cypress, Playwright, and Selenium, and I value CI/CD practices and maintainable code.

My experience also includes mobile development with Ionic, Capacitor, and React Native, interactive visualizations with D3.js, Highcharts, and WebGL, and cloud-enabled applications using AWS and Cloudflare. I collaborate effectively with international, cross-functional teams and am open to remote opportunities and relocation.

Notice period: Immediately

Skills

37 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Mid-level Software Engineer Pipefy

I own frontend delivery for enterprise AI agent orchestration on the Agents Confidence team, building experiences that provide users with visibility, control, and confidence over autonomous agent actions in production workflows.

I delivered a Human Validation action used by clients in production, enabling agent-triggered approvals through in-app notifications and email. I am also building an interactive node-based visualization for agent logs using LangSmith-sourced responses processed by backend services.

I maintain comprehensive test coverage and support CI/CD delivery so changes can ship to production with every merge. I collaborate with product managers and backend teams to turn AI governance and safety requirements into intuitive UX.

Mid-level Mobile Software Engineer (Contract) Nrby, Inc

I rebuilt GeoJSON rendering on WebGL to remove a critical map-rendering bottleneck, enabling smooth handling of large files that were previously impractical with the existing toolset.

I engineered core CRUD functionality for SmartPins and SmartLines using Ionic, Capacitor, and React, supporting real-time location intelligence for mobile field workers. I reduced in-app data load time by more than 65%, from approximately three seconds to under one second, by adopting native Ionic components, optimizing state handling, applying lazy loading and memoization, and virtualizing lists.

I collaborated with an international team, performed code reviews, and helped enforce mobile-development best practices.

Mid-level Software Engineer II Tabia Health

I built agent-triggered workflows that automatically generated pre-filled tasks, reducing manual data entry by an estimated 60% on average for an AI-driven care management platform.

I improved a data-heavy table's render time by more than 60%, reducing it from over five seconds to under two seconds through list virtualization. I also built and optimized dynamic dashboards and healthcare resources with React, TypeScript, React Query, Vite, and Styled Components.

I created D3.js visualizations for historical health trends and ensured application reliability with Jest unit tests and Cypress end-to-end coverage.

Junior Software Engineer INTELIE by Viasat

I replaced a modal-by-modal drilling-timeline workflow with CSV import, an editable Excel-like tree table, and direct export, reducing manual data-entry work by up to 90%.

I built real-time dashboards for complex Oil & Gas time-series data, reducing visualization latency by approximately 80% and enabling users to identify and respond to operational risks 20% faster.

I researched and introduced Playwright to test complex interactive chart behavior, including container resizing, docking, snapping, and group toggling. This eliminated recurring chart bugs that had previously required about three fixes per month.

Education

Learning history

Faculdade de Tecnologia Rocketseat

Graduate Program, Tech Developer 360

Completed the Tech Developer 360 graduate program.

FATEC

Undergraduate Degree, Analysis and Systems Development (ADS)

Completed undergraduate degree in Analysis and Systems Development in Botucatu, São Paulo.

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