Senior Fullstack Engineer (Python and Vue.js, React)

Jobgether

Brasil

Remoto

BRL 506.000 - 731.000

Tempo integral

Há 2 dias
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Benefícios oferecidos por esta vaga

Competitive USD salary
Fully remote in Latin America
Coworking access across LatAm
Paid time off
Paid sick leave
Annual benefits allowance
Birthday leave
Professional development
Supportive People Care team
Collaborative remote culture
Autonomy and flexibility
International exposure

Resumo da vaga

Jobgether is seeking a Senior Fullstack Engineer (Python, Vue.js, React) for a remote-first role based in Brazil. You will own features end-to-end, building backend services with Python/FastAPI and frontend apps using Vue.js/React, deployed on Kubernetes in GCP and integrated with AI-assisted tools.

English communication with US clients is essential. You will collaborate with international teams, contribute to CI/CD and testing strategies, and drive architectural improvements while maintaining a

Qualificações

  • Bachelor's degree in CS, software engineering, or related field.
  • Strong full-stack experience across backend and frontend.
  • Proficient in Python; FastAPI experience is a plus.
  • Frontend experience with Vue.js and/or React.
  • Solid knowledge of microservices, REST APIs, scalable design.
  • Hands-on Kubernetes deployment and management.
  • Experience with GCP and relational/NoSQL databases.
  • Familiar with CI/CD, automated testing, code reviews, observability.
  • Experience with AI-assisted development tools and evaluating AI-generated code.
  • Advanced English (C1–C2) for US-based collaboration.
  • Independent, proactive, collaborative mindset.
  • Nice-to-have: migrating Java to Python, GKE, edge/on-prem, healthcare software, AI/ML exposure.

Responsabilidades

  • Take end-to-end ownership of full-stack features from requirements to deployment and production maintenance.
  • Develop, maintain backend services and REST APIs using Python and FastAPI.
  • Build frontend apps with Vue.js and React.
  • Design, deploy, and operate scalable apps with Kubernetes on GCP.
  • Work with PostgreSQL, MongoDB, and MySQL.
  • Integrate AI-assisted development tools and review generated code for quality and security.
  • Contribute to CI/CD, automated testing, code reviews, and observability.
  • Identify opportunities to optimize development workflows and architecture.
  • Share AI configurations and workflows with the team to improve productivity.
  • Collaborate with international stakeholders and participate in Technical Interviewer Program.
  • Contribute to collaborative engineering culture through knowledge sharing and learning.

Conhecimentos

Python
FastAPI
Vue.js
React
Kubernetes
GCP
CI/CD
AI-assisted tools
English (advanced)

Formação

Bachelor's degree in Computer Science or related

Ferramentas

PostgreSQL
MongoDB
MySQL
Claude Code

Descrição da vaga

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Fullstack Engineer (Python and Vue.js, React) based in Brazil.

As a Senior Fullstack Engineer, you will contribute to the development of modern, scalable digital solutions for a US-based client, working in an AI-accelerated engineering environment. You will take ownership of features across the entire development lifecycle, from understanding requirements and designing solutions to deployment and production support. Working with a modern technology stack that includes Python, FastAPI, Vue.js, React, Kubernetes, and Google Cloud Platform, you will help build and evolve backend services and frontend applications. You will also play an active role in integrating AI-assisted development tools into everyday engineering workflows, helping improve productivity and code quality. Collaborating with distributed teams, you will contribute to technical decisions, share knowledge, and support continuous improvement across projects. This opportunity combines technical ownership, professional autonomy, and international collaboration within a flexible, remote-first environment.


Accountabilities:
  • Take end-to-end ownership of full-stack features, from requirements gathering and technical design through development, testing, deployment, and production maintenance.
  • Develop, maintain, and enhance backend services, microservices, and REST APIs using Python and FastAPI, contributing to planned product roadmap initiatives.
  • Build, improve, and maintain frontend applications using Vue.js and React, supporting the client's ongoing transition toward Vue.js.
  • Design, deploy, and operate scalable applications and services using Kubernetes within Google Cloud Platform (GCP).
  • Work with relational and NoSQL databases, including PostgreSQL, MongoDB, and MySQL, ensuring efficient data management and reliable application performance.
  • Integrate AI-assisted development tools, such as Claude Code or comparable agentic coding solutions, into daily engineering activities while critically reviewing generated code for quality, security, and correctness.
  • Contribute to CI/CD pipelines, automated testing strategies, code reviews, and observability practices to improve software reliability and delivery efficiency.
  • Identify opportunities to optimize development workflows, improve system architecture, and implement engineering best practices.
  • Share effective AI development configurations, tools, and workflows with colleagues, helping the wider engineering team adopt productive and responsible AI-assisted practices.
  • Collaborate with international stakeholders and client teams, communicating technical decisions, progress, and potential challenges clearly.
  • Participate in the Technical Interviewer Program by conducting technical interviews for different accounts and supporting the recruitment and development of engineering teams.
  • Contribute to a collaborative engineering culture through knowledge sharing, technical discussions, and continuous learning.
Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
  • Strong professional experience in full-stack software engineering, with the ability to contribute effectively across backend and frontend development.
  • Deep expertise in at least one backend programming language and working knowledge of additional languages. Python is preferred, although candidates with strong Java or Node.js experience and exposure to Python are also encouraged to apply.
  • Practical experience developing backend applications and APIs using Python, with FastAPI experience considered a strong advantage.
  • Frontend development experience with Vue.js and/or React, including the ability to build and maintain modern web applications.
  • Solid understanding of microservices architecture, REST APIs, and scalable software design principles.
  • Hands-on experience deploying, managing, and maintaining applications using Kubernetes.
  • Cloud infrastructure experience, preferably with Google Cloud Platform (GCP).
  • Experience working with relational and NoSQL databases, particularly PostgreSQL, MongoDB, and MySQL.
  • Strong knowledge of CI/CD processes, automated testing, code review practices, and application observability.
  • Demonstrated, day-to-day experience using AI-assisted development tools such as Claude Code or similar agentic coding solutions, with the ability to evaluate AI-generated code critically.
  • Advanced English proficiency (C1–C2 preferred), with strong verbal and written communication skills to collaborate effectively with US-based clients and international teams.
  • Excellent problem-solving, analytical, and communication skills, combined with the ability to work independently and take ownership of complex technical challenges.
  • A proactive, adaptable, and collaborative mindset, with a genuine interest in sharing knowledge and continuously improving engineering practices.

Nice-to-have qualifications:

  • Experience modernizing or migrating Java applications toward Python-based architectures.
  • Familiarity with Google Kubernetes Engine (GKE) and other GCP-native services.
  • Experience working with edge computing environments or on-premises Kubernetes deployments.
  • Previous experience developing healthcare, medical, or other regulated software solutions.
  • Exposure to Artificial Intelligence, Machine Learning, computer vision, or video processing technologies.
Benefits:
  • Competitive compensation: Attractive salary paid in USD.
  • Fully remote work: Work remotely from anywhere in Latin America, with flexibility and autonomy.
  • Coworking opportunities: Access to coworking spaces across Latin America to connect and collaborate with colleagues.
  • Paid time off: Paid vacation and national holidays in accordance with your country's regulations.
  • Paid sick leave: Time off to prioritize your health and well-being when needed.
  • Annual benefits allowance: An annual credit to spend on perks and services that support your personal preferences and work-life balance.
  • Birthday leave: An additional day off during your birthday week to celebrate.
  • Professional development: Opportunities to grow your technical expertise, participate in knowledge-sharing activities, and work on challenging international projects.
  • Supportive work environment: Access to a dedicated People Care team providing ongoing support for professional development and personal well-being.
  • Collaborative remote culture: Participate in virtual coffee breaks, technical talks, team-building activities, and after-work gatherings.
  • Autonomy and flexibility: A results-oriented work culture focused on outcomes, trust, open communication, and minimal micromanagement.
  • International exposure: Collaborate with US-based clients and diverse engineering teams while contributing to global digital transformation initiatives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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