Senior Full Stack Developer (JS)

Remote in Argentina,

JavaScript (Frontend)

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Our organization is on the lookout for a skilled Senior Full Stack Developer (JS) possessing robust machine learning expertise to become part of our growing group. Our software engineering group takes pride in engineering groundbreaking digital solutions that tackle difficult user obstacles across massive user bases. We value collaborative problem-solving, rigorous code quality, and continuous skill enhancement within a fast-moving workplace. Becoming a member of our team enables you to influence the evolution of our central foundation while driving essential product enhancements from the initial idea straight through to production release.

Responsibilities

Lead the design and deployment of robust web applications by combining modern JavaScript toolchains with advanced automated reasoning features
Partner directly with cross-functional product owners, visual designers, and analytics experts to establish technical criteria and functional benchmarks
Tune client-side interfaces and backend services to ensure maximum execution speed, fluid responsiveness, and optimal end-user experiences
Embed cutting-edge predictive models and cognitive services securely into live production environments
Produce pristine, sustainable, and thoroughly documented code that strictly adheres to recognized coding guidelines and engineering best practices
Plan and execute exhaustive validation schemes covering unit, system, and end-to-end scenarios to uphold exceptional software reliability
Configure, oversee, and accelerate compilation workflows and continuous integration pipelines for faster release cycles
Guide less experienced developers through constructive code inspections while fostering an internal culture of technical growth
Diagnose, isolate, and fix intricate operational issues occurring across the entire technology infrastructure
Take part in high-level system strategy discussions to propel modern engineering practices forward across the division

Requirements

At least 3 years of demonstrated career background in software engineering showing increasing levels of technical leadership
Thorough mastery of full stack engineering principles, covering both interactive client interfaces and powerful server-side infrastructures
Extensive conceptual and applied understanding of artificial intelligence topics, algorithmic integrations, and smart functional features
High-level mastery of JavaScript for developing interactive, fast-loading web solutions and non-blocking operations
Practical background working with React to build component-driven user interfaces and manage intricate application states
Solid capability in server-side programming via Node.js to construct high-capacity asynchronous APIs and microservice architectures
Practical background applying Python for data handling, connecting to AI engines, or writing backend utilities
Prior exposure to Java for connecting enterprise systems and building stable service frameworks
Understanding of Go for creating fast, concurrent backend services and system tools
Practical background writing dependable tests and checks utilizing Testify
Skill in managing Webpack for sophisticated asset compilation, package splitting, and performance tuning
Experience using Jest to execute contemporary JavaScript tests and verification checks
Background setting up and operating the Karma test runner across diverse browser environments
Familiarity with Mocha for adaptable asynchronous code testing and assertion design
Experience streamlining compilation tasks, code compression, and build scripts via Gulp
Exposure to Grunt for maintaining older task automation setups and project build routines
Professional English verbal and written proficiency meeting the B2 threshold or higher to ensure smooth teamwork across global groups

Nice to have

Experience engaging with public AI repositories or contributing to collaborative machine learning open-source initiatives
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying containerized JavaScript and Python services
Exposure to modern database management systems including PostgreSQL, MongoDB, or Redis for high-performance data storage
Knowledge of GraphQL for constructing flexible, efficient client-server data fetching layers
Background in implementing security best practices and conducting vulnerability assessments within web applications