Senior Software Engineer

🔥 15 minutes ago

🇳🇿 New Zealand – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Logo of Everbridge

Everbridge

1001 - 5000 employees

Founded 2002

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

Everbridge is a company specializing in critical event management solutions designed to enable organizations to plan, anticipate, mitigate, respond to, and recover from unexpected events. With a broad suite of products including risk intelligence, mass notification, crisis management, and public warning systems, Everbridge is committed to maximizing organizational resilience through their integrated Everbridge 360™ platform. Serving industries such as financial services, healthcare, technology, telecommunications, energy, and government sectors, Everbridge helps over 6,500 global customers manage critical events more effectively. Their solutions ensure workforce safety, protect assets, and maintain business continuity during disruptions, ensuring swift communication and effective management of crises.

📋 Description

• Design, implement, test, and maintain product features. • Collaborate with cross-functional teams to design, develop, and deploy high-quality applications and APIs. • Participate in technical discussions and provide insights 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. • Develop Everbridge’s agentic AI platform used by its SaaS solution.

🎯 Requirements

• Degree in Computer Science or related field, or equivalent work experience. • 5+ years of experience as a professional software engineer. • Experience developing AI solutions or an eagerness to learn. • Experience developing with Agentic AI practices and coding tools. • A range of software development and delivery experience. • Interest in solving complex problems that help keep people safe. • Eager to own feature work and be involved in the details of a feature’s lifecycle. • Experience in large code-base products or enterprise grade software. • Experience with cloud platforms, with AWS experience being preferred.

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