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Full stack engineer

Espírito Santo (RN)
HCLTech
Anunciada dia 23 abril
Descrição

Senior Full-Stack Engineer (AI-Driven Platforms)
About the Role
We are looking for a Senior Full-Stack Engineer with strong experience designing, building, and scaling modern web applications and SaaS platforms. In this role, you will work across the entire stack, from intuitive frontend interfaces to robust backend services, cloud infrastructure, and AI-powered solutions. You will collaborate closely with product, engineering, and platform teams to deliver high-impact, scalable systems.
Key Responsibilities
Design, develop, and scale full-stack web applications and SaaS platforms
Build high-quality, maintainable frontend experiences using modern frameworks
Develop APIs and backend services with a focus on performance, security, and scalability
Architect and manage cloud-native infrastructure using Infrastructure as Code
Implement AI-powered features using foundation models and retrieval-augmented generation (RAG) architectures
Ensure reliability through automated testing, CI/CD pipelines, and observability best practices
Collaborate in English on a daily basis with cross-functional and international teams
Technical Requirements
Frontend
Strong experience with TypeScript, React, and Next.js
Proficiency with modern CSS frameworks such as Tailwind CSS
Backend
Solid experience with Node.js (Express and/or NestJS) and/or Python (FastAPI or Django)
Databases
Experience with relational databases such as PostgreSQL or AWS Aurora
Experience with Vector Data Stores (Amazon OpenSearch Serverless, pgvector, or Pinecone)
Cloud & Infrastructure
Deep familiarity with AWS (Lambda, ECS/EKS, S3, API Gateway) or GCP
Strong experience with Infrastructure as Code (Terraform or AWS CDK)
AI & Orchestration
Hands-on experience with Amazon Bedrock (working with foundation models like Claude or Llama)
Experience with Google Vertex AI
Familiarity with LangChain, LlamaIndex, and RAG architectures
DevOps & CI/CD
Experience with Docker and GitLab CI
Strong knowledge of observability and monitoring tools such as Datadog, AWS CloudWatch, Google Cloud Monitoring, and Google Cloud Logging
Testing
Experience with automated testing frameworks such as Jest, PyTest, Playwright, or Cypress
Developer Tools
Advanced proficiency with AI coding assistants such as Cursor, GitLab Duo, and Claude Code
Language Requirements
Advanced English proficiency for daily communication

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