Tech Lead Full Stack

Accountabilities:

• • Lead the development team technically by establishing engineering standards, technical direction, development practices, and a strong culture of code review.
  • Mentor developers, support their technical growth, and promote knowledge sharing and continuous improvement across the team.
  • Drive architectural decisions in AWS, evaluating trade-offs related to scalability, reliability, performance, and maintainability.
  • Participate in business and product refinements, assessing the technical feasibility of requirements and recommending appropriate implementation approaches.
  • Break down and technically refine development demands, helping prioritize work and allocate developers according to project needs and technical complexity.
  • Ensure a consistent development lifecycle from implementation and code review through testing, homologation, and production deployment.
  • Remain hands-on in building applications using TypeScript, Node.js, NestJS, Express, and React/React Native Web.
  • Design and implement distributed platform architectures involving microservices, messaging, caching, Pub/Sub, APIs, and scheduled jobs or cronjobs.
  • Work with relational and non-relational databases, contributing to data architecture and application performance.
  • Collaborate with Product and other stakeholders to ensure technical decisions remain aligned with business objectives and user needs.
  • Monitor the evolution of the technology ecosystem, including AI, and identify opportunities where new technologies can deliver measurable value to products.
  • Promote engineering best practices such as Clean Code, Design Patterns, maintainable architecture, automated quality practices, and effective technical documentation.

  Requirements:

  • Solid professional experience with TypeScript and Node.js, particularly NestJS and Express.
  • Strong hands-on experience developing web applications with React, ideally including React Native Web.
  • Experience working with both relational and non-relational databases, preferably PostgreSQL and MongoDB.
  • Familiarity with GraphQL, preferably through Hasura.
  • Strong understanding of distributed architectures and their components, including microservices, messaging, caching, Pub/Sub, APIs, and jobs/cronjobs.
  • Practical understanding of AWS infrastructure, cloud architecture, and the considerations involved in building scalable applications.
  • Strong knowledge of software engineering best practices, including Clean Code and Design Patterns.
  • Experience conducting technical refinements, code reviews, architectural discussions, and the complete development-to-production workflow.
  • Practical experience working with Agile methodologies, such as Scrum or Kanban, and collaborating closely with Product teams.
  • Previous experience providing technical leadership, mentoring developers, or guiding engineering teams is highly valued.
  • Strong verbal and written communication skills, with the ability to explain technical decisions clearly to both technical and non-technical stakeholders.
  • Ability to work autonomously while maintaining strong collaboration and ownership within a team environment.
  • Experience with Python, particularly in AI-related applications, is a strong differentiator.
  • Experience with vector databases, such as Pinecone or OpenSearch, is considered an advantage.
  • A combination of technical depth, leadership capability, and a pragmatic approach to product development is highly valued.

  Benefits:

  • Meal or food allowance (Vale Alimentação or Vale Refeição).
  • Home office allowance to support remote work.
  • Private medical insurance.
  • Dental insurance.
  • Discounts on courses, universities, and language institutions.
  • Access to an online learning platform offering free, updated courses with certificates.
  • Mentoring programs to support professional development.
  • Club of benefits and discounts at participating establishments.
  • Opportunities for continuous learning and exposure to modern technologies, including AI.
  • A collaborative environment that encourages autonomy, technical growth, and innovation.