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Want to shape how a global platform with 4 million users builds with AI? Spond is hiring Software Engineer - AI Agent Platform (apply without a CV or cover letter)

SPOND AS

Noruega📅 4/11/2026

Descripción

Want to shape how a global platform with over 4 million monthly active users builds with AI? We are looking for someone to help us build and scale our AI agent platform. Spond is a product-driven tech company that simplifies life for sports teams, clubs, and volunteers. By streamlining administration, payments and communication, our platform takes the heavy lifting out of grassroots sports. Today we support over 4 million monthly active users globally and are driving strong traction in markets such as the UK, France, Norway, and Germany. We consistently rank at the top of the App Store's sports category and are highly valued by our community, with a Net Promoter Score of 76, outperforming services like Netflix, Airbnb and Uber. The position We're looking for a Backend Software Engineer to build and maintain the platform behind our AI agents. You'll build internal products for engineers such as tooling, APIs, SDKs, integrations, and developer workflows. You'll take them from design through to production and scaling, improving developer experience and driving real adoption across Spond's engineering teams. This role sits in our Platform Engineering & AI team, which owns Spond's infrastructure and developer platform. You don't need to be an infrastructure expert for this role. We care most about strong software engineering fundamentals and genuine motivation to build in the AI space and to work in a platform team. We collaborate closely inside the team, so you'll naturally pick up our platform stack (Kubernetes on AWS, IaC, CI/CD) and pitch in where it helps, while your main focus stays on the AI agent platform and related tooling. What you'll be working on: Building and maintaining the Go services, libraries, and tooling that let engineers across the company build with AI safely and consistently. Developing agent-based tooling and workflows that drive AI adoption internally, for example cloud agents in developer workflows and automated root cause analysis. Designing r
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