Remote Full-Stack Python Engineer (React/Kubernetes)

confidential; United States; Teletrabalho; USD 90 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Generous PTO

Paid sick leave

Paid parental leave

International collaboration with teams

Ownership and tech quality culture

Regular team-building activities

Resumo da oferta

Priscila Rosa Desenvolvimento Humano is seeking an experienced Full Stack Python engineer for a six-month remote engagement. You will build Python backend services, work on data-heavy workflows, and contribute to React frontends and cloud infrastructure.

Accurate data handling and performance at scale are key priorities. The role emphasizes collaboration with cross-functional teams, ownership from discovery to delivery, and a commitment to high-quality engineering practices.

Qualificações

• 5+ years of production Python backend experience.
• Experience building React/TypeScript or JavaScript UIs.
• API design and integration experience.
• Relational databases and SQL proficiency.
• Strong focus on data accuracy and testing.
• Experience with CI/CD and code reviews.

Responsabilidades

• Design, build, and maintain production Python services and APIs.
• Develop front-end features with React and ensure reliable integration with back-end.
• Work on data-intensive, accuracy-critical code paths.
• Modernize legacy systems and manage SQL data models.
• Diagnose performance, scalability, and reliability issues.
• Collaborate with engineers and technical leaders across teams.
• Contribute to documentation and knowledge sharing.

Conhecimentos

Python backend

React frontend

API design

SQL databases

Data accuracy

CI/CD

English communication

Independent worker

Ferramentas

Kubernetes

AWS

React

Terraform

Descrição da oferta de emprego

Priscila Rosa Desenvolvimento Humano is seeking an experienced Full Stack Python engineer for a six-month remote engagement. You will build Python backend services, work on data-heavy workflows, and contribute to React frontends and cloud infrastructure.

Accurate data handling and performance at scale are key priorities. The role emphasizes collaboration with cross-functional teams, ownership from discovery to delivery, and a commitment to high-quality engineering practices.