[Remote] Staff Node.JS Typescript Engineer

Descrição da Vaga

Requisitos

• 7+ years of professional software development experience in production environments
• 4+ years operating at a senior or staff-level engineering capacity
• Proven ability to lead complex projects from concept through delivery
• Strong experience with Node.js and TypeScript in backend systems
• Hands-on experience designing RESTful APIs and implementing business logic over data stores
• Experience building and scaling backend services in distributed systems
• Excellent written communication skills, particularly in asynchronous tools and technical documentation
• Prior experience influencing product decisions and technical strategy
• Demonstrated success collaborating across engineering, product, and data disciplines
• Own the ideation, design, and execution of high-impact initiatives that directly influence customer experience and business results
• Define and evolve the Conversational AI engineering roadmap in partnership with product and technical leadership
• Ensure platform scalability, reliability, and performance as usage and complexity grow

Responsabilidades

• This role involves designing and building intelligent systems for customer interactions, setting technical direction, mentoring engineers, and collaborating with various teams to deliver impactful solutions
• Own the ideation, design, and execution of high-impact initiatives that directly influence customer experience and business results
• Define and evolve the Conversational AI engineering roadmap in partnership with product and technical leadership
• Lead projects end-to-end: identifying opportunities, designing solutions, and driving implementation
• Establish technical standards, conduct thoughtful code reviews, and mentor engineers across the team
• Collaborate cross-functionally to integrate with external partners and third-party platforms
• Normalize, rank, and evaluate outcomes using ML-driven predictions to guide optimal user flows
• Partner closely with Data Science to leverage machine learning models for forecasting, decision logic, and personalization
• Ensure platform scalability, reliability, and performance as usage and complexity grow
• Lead projects end-to-end: identifying opportunities, designing solutions, and driving implementation
• Establish technical standards, conduct thoughtful code reviews, and mentor engineers across the team
• Collaborate cross-functionally to integrate with external partners and third-party platforms
• Normalize, rank, and evaluate outcomes using ML-driven predictions to guide optimal user flows
• Partner closely with Data Science to leverage machine learning models for forecasting, decision logic, and personalization

Benefícios