Senior Software Engineer: AI Platform & APIs

Everbridge; Auckland; In loco; NZD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Everbridge in Auckland seeks a Senior Software Engineer to join our engineering team, building our agentic AI platform used by our SaaS solution. You will design, implement, test, and maintain features and APIs, collaborating across teams to ensure quality and performance.

You’ll contribute to architecture discussions, own feature lifecycles, and work with React, Node.js, Java and Python, with AWS experience preferred. This is a hands-on role in a fast-paced, safety-focused product area.

Competenze

• Degree in Computer Science or related field, or equivalent work experience.
• 5+ years of professional software engineering experience.
• Experience developing AI solutions or eagerness to learn.
• Experience with Agentic AI practices and coding tools.
• Experience with large codebase products or enterprise software.
• Experience with cloud platforms, with AWS preferred.

Mansioni

• Design, implement, test, and maintain product features as part of daily work.
• Collaborate with cross-functional teams to design, develop, and deploy high-quality applications and APIs.
• Participate in technical discussions to improve architecture, scalability, and performance.
• Participate in code reviews and provide constructive feedback.
• Investigate and resolve technical issues, ensuring smooth operation of web applications and APIs.

Conoscenze

5+ years software engineering

AI solutions

Agentic AI

AWS

React/Node.js/Java/Python

large codebase/enterprise

degree in CS

cross-functional collaboration

Formazione

Degree in Computer Science

Strumenti

AWS

Descrizione del lavoro

Everbridge in Auckland seeks a Senior Software Engineer to join our engineering team, building our agentic AI platform used by our SaaS solution. You will design, implement, test, and maintain features and APIs, collaborating across teams to ensure quality and performance.

You’ll contribute to architecture discussions, own feature lifecycles, and work with React, Node.js, Java and Python, with AWS experience preferred. This is a hands-on role in a fast-paced, safety-focused product area.