Senior Software Engineer — Remote AI Platform Adoption

Sovos; Lisboa; Teletrabalho; EUR 65 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance (company paid)

Meal Allowance

Generous annual leave

Language Learning Support

Global Mentoring Programs

Life Insurance

Personal Accidents Insurance

Resumo da oferta

Sovos is hiring a Senior Software Engineer (AI Platform Adoption) in Portugal to drive adoption of our Core and AI Platform capabilities. You will work hands-on with engineering teams, embedding to accelerate delivery and ensure code ships with quality and confidence.

You will help codify best practices, author reusable guidance, and establish AI coding assistant usage guidelines while collaborating with product stakeholders on end-to-end test plans and security considerations.

Qualificações

• Ability to navigate multiple codebases and unfamiliar systems quickly.
• Experience with AI coding assistants in professional contexts is a plus.
• Strong communication and documentation skills for cross-functional teams.

Responsabilidades

• Lead platform adoption by coaching engineering teams and aligning with Core and AI Platform capabilities.
• Contribute to codebases using AI-assisted development techniques and platform patterns.
• Author and maintain guidance for platform adoption and best practices.
• Establish guidelines for AI coding assistant usage, including prompt engineering and code quality standards.
• Co-author test plans with product teams for platform-integrated features and ensure end-to-end deployment.
• Identify quality and security considerations for AI-generated code and drive architectural improvements.

Conhecimentos

JavaScript

React

Mentorship

Documentation

Communication

Code quality

Ferramentas

GitHub Copilot

Cursor

Claude

Descrição da oferta de emprego

Sovos is hiring a Senior Software Engineer (AI Platform Adoption) in Portugal to drive adoption of our Core and AI Platform capabilities. You will work hands-on with engineering teams, embedding to accelerate delivery and ensure code ships with quality and confidence.

You will help codify best practices, author reusable guidance, and establish AI coding assistant usage guidelines while collaborating with product stakeholders on end-to-end test plans and security considerations.