Lead Full Stack Engineer (React.Js/Node.Js) Id21270

Detalhes da Vaga

Lead Full Stack Engineer (React.js/Node.js) ID21270AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!What you will doUnderstanding of Java and its frameworks;Design and implement complex features using Node.js, TypeScript, GraphQL, and React;Manage and integrate databases using MongoDB, provisioned and managed via AWS;Use Terraform for infrastructure as code to manage scalable cloud resources;Collaborate with product managers, designers, and other engineers to define requirements and deliver high-quality solutions;Write clean, efficient, and well-documented code that adheres to best practices;Utilize GitLab for version control, continuous integration, and deployment workflows;Conduct code reviews, mentor junior engineers, and troubleshoot technical issues;Implement AI-driven features using retrieval-augmented generation and natural language processing.Must havesBachelor's or Master's degree in Computer Science, Engineering, or a related field;4+ years of professional experience in software development, focusing on backend and frontend technologies;Strong expertise in Node.js, TypeScript, and React;Proficiency with GitLab for version control and CI/CD pipelines;Experience with AWS, specifically managing MongoDB environments;Proficient in using Terraform for managing cloud infrastructure;MAC OS experience required (to be discussed during the client interview);Experience with Contentful or other similar CMS Platform;Upper-intermediate English level.Nice to havesUnderstanding of Java and its framework;Experience with testing frameworks like Jest or Cypress;Expertise in GraphQL for API development and optimization;Familiarity with Spark and Scala for big data processing;Experience with AI techniques such as retrieval-augmented generation;Familiarity with LlamaIndex for managing large-scale AI data;Strong problem-solving skills and experience with agile methodologies.The benefits of joining usProfessional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
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Salário Nominal: A acordar

Fonte: Whatjobs_Ppc

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