Full-Stack Software Engineer - AI-Native Product Development

Job description

Are you excited about building a cybersecurity product that protects organizations from sophisticated email threats? Do you love frontend development, but also want to own features end-to-end from the user experience to the backend services and data behind it? Do you thrive in a fast-moving scale-up where priorities evolve, expectations are high, and you have the freedom and responsibility to get things done? Has AI fundamentally changed the way you develop software and are you constantly looking for ways to use it to build better software, faster? Then you should definitely read on. Tasks In this role, you will build and evolve the product our customers use to understand, configure, and operate their email security own features end-to-end from the frontend through APIs and backend services to the underlying data put particular care into the frontend, creating intuitive and polished user experiences for complex cybersecurity problems work across the full stack, with roughly equal exposure to frontend and backend development use AI extensively throughout the engineering process to explore, design, implement, test, debug, review, and improve software work with technologies including React, Java, PostgreSQL, Elasticsearch, Nginx, and Docker take ownership and drive things forward from figuring out what needs to be built to designing, shipping, operating, and continuously improving it work closely with product, security, and engineering colleagues, making pragmatic decisions and turning evolving customer and business needs into great product experiences shape our product and engineering practices by bringing in your own ideas and challenging existing approaches Requirements You should apply if you are a strong software engineer who enjoys building complete product features, not just individual components genuinely enjoy frontend development and care about creating user interfaces that are intuitive, responsive, and polished are equally willing to leave the frontend and work on APIs, backend services, databases, and infrastructure when that's what a feature requires are comfortable stepping outside the code when needed whether that means working in design tools, prototyping an interaction, or thinking through a user flow are highly proficient in AI-assisted software engineering and use AI as an integral part of how you design, write, test, debug, and review soft…