Full-Stack Engineer

Accountabilities: Build, refine, and maintain agentic development workflows, contributing to the team's use of AI throughout the software lifecycle, from requirements and technical specifications to implementation and testing. Design, develop, test, and deliver scalable, high-quality full-stack software across new and existing systems. Drive software quality through thorough verification, automated testing, and both AI-assisted and human code reviews. Review AI-generated code and architectural recommendations critically, ensuring solutions meet engineering standards before they are merged or deployed. Take ownership of features from research and planning through design, implementation, validation, deployment, and production monitoring. Improve legacy systems through refactoring, simplification, better test coverage, and clearer boundaries between components. Develop and enhance APIs, webhooks, and integration capabilities across the platform. Build and maintain automated unit, integration, and end-to-end tests as part of the development process. Contribute actively to Agile/Scrum practices through reliable estimates, clear communication, and consistent delivery. Troubleshoot complex technical issues, support production reliability, and participate in on-call rotations. Collaborate with product managers and cross-functional partners to prioritize features and fixes. Support team development through pairing, constructive code reviews, knowledge sharing, and technical documentation. Requirements: At least 4 years of professional software engineering experience building, deploying, and operating reliable production systems. At least 3 years of hands-on professional experience with Node.js and React, using JavaScript or TypeScript. Experience delivering full-stack features across both frontend and backend, from initial concept through production use. Strong computer science fundamentals, including data structures, database concepts, API design, software testing, and clean coding practices. Bachelor's degree in computer science or a related field, or equivalent professional experience. Practical experience with automated testing at unit, integration, and end-to-end levels, including browser testing frameworks such as Playwright or Selenium. Experience using structured AI-assisted or agentic software development workflows, from prompt-based instructions to more comprehensive development orchestration. A critical, questioning mindset, with the ability to evaluate code and architectural proposals rather than accepting generated or independently written output at face value. Strong communication skills and the ability to explain complex technical concepts, contribute to code reviews, and produce clear documentation. Excellent written and spoken English, approximately C1 level, with the ability to work entirely in English within an international distributed team. Ability to work reliably during US Pacific business hours, typically 9 a.m. to 5 p.m. PT. Nice to have: Experience building comprehensive automated test suites used across an engineering team, ideally with a background as a Software Development Engineer in Test (SDET). Hands-on ownership of CI pipelines, including configuring, optimizing, and troubleshooting GitHub Actions or equivalent tools. Experience with Test-Driven Development (TDD). Familiarity with test data management and repeatable environment setup. Experience with a compiled, statically typed language such as Rust, Go, Java, C#, or C++. Advanced React expertise, particularly in design systems, accessibility, or frontend performance. Knowledge of cloud service design patterns and modern software architecture. Familiarity with AWS, cloud-native services, microservices, and containerization. Experience with NoSQL and other modern data-storage technologies. Previous experience working remotely with international teams using English as their primary working language. Benefits: Annual base salary of $60,000–$80,000 USD, depending on experience, skills, and engineering level. Fully remote working arrangement, open to candidates based in Latin America or Canada. Flexible work arrangements, with the option to work from home or another location with reliable internet access. Flexible paid time off. Company-provided laptop. Work-from-home setup stipend. Monthly technology stipends covering internet and AI tools. Opportunity to work with advanced AI-assisted development workflows and contribute to evolving engineering practices.