Launchmetrics

Full Stack Software Development Engineer React / Node.js

Vaga remota de Tech and Engineering com fit claro de localização do candidato.

Publicada23 de jul. de 2026

Países elegíveis2 países aceitos

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

ItáliaEspanha

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

Contribute to building new features from initial architecture choices to the marketable product impulsing innovative solutions and the most recent technologies
Collaborate with team members to maintain and improve existing features by fixing defects and doing continuous refactors to modernize the technical stack and reduce the overall architecture complexity
Act as a Frontend expert, leveraging deep expertise in React and Redux, to guide the team with valuable insights, improvements, and suggestions on best practices regarding frontend code
Architect efficient database schemas for new implementations or contribute to improve existing ones
Work closely with product management, designers and QA to define user requirements and translating them into reliable, intuitive features
Evangelize code quality through writing well-architected, structured code, unit tests, while following best industry practices
Be a driver of AI-led improvements across our tech stack, documentation, tooling, and organization
Refactor, optimize and constantly drive for improved efficiency and code health and reduced complexity

Engineer Degree - Master Degree in Computer Science and a minimum of 2 years of relevant work experience in full-stack developments in a SaaS environment with Agile methodologies
Minimum 2 years of experience working with Javascript/Typescript
Experience with, or strong interest in, AI-assisted development workflows (e.g. Claude, GitHub Copilot) to accelerate coding, testing, and code review
Strong expertise with React
Experience building a RESTful API, or even better, a GraphQL API
Experience working with modern data platforms (e.g. Databricks, Spark, Delta Lake) for building and optimizing data pipelines, or similar experience with search engines like ElasticSearch
Good understanding of data modeling, performance tuning, and lifecycle management (partitioning, indexing/clustering, schema evolution) in large-scale distributed data systems
Bright, energetic, highly motivated self-starter with experience in a fast-paced, results-oriented organization
Ability to adapt, estimate workload, break down a task into logical steps, solve problems, self-improve and suggest new ways of improvement
You care about the long-term maintainability of the codebase and advocate for refactoring and clean-ups when appropriate
Last, but definitely not least: you speak, read, and write English fluently

Languages:TypeScript, Python, Java
Frameworks:Node.js, React, Serverless, Express.js
Database & Data Platform:Databricks, MySQL, Redis
Search:ElasticSearch
Cloud providers:Amazon
Main AWS technologies:Lambda, Docker on ECS/Fargate, Step functions, Kinesis, SQS, SNS, S3
Tools: Jira, Sentry, VSCode, ...
Versioning tool:Git, Github
CI/CD:Github actions, Jenkins
Testing:Jest, React Testing Library