We’re looking for a Software Engineer to help build and operate the data infrastructure that powers our next generation of products and AI-driven capabilities. In this role, you’ll take ownership of observability, monitoring, and reliability across our platform, ensuring every feature is measurable, performant, and resilient from day one.

Alongside infrastructure and operations work, you’ll contribute directly to our software codebase, developing data-driven services and AI-integrated features. This is a hands-on engineering role for someone who enjoys automation, problem solving, and building scalable systems while growing into data and AI technologies.

This is a hybrid position requiring 3 days per week in our Newcastle office.

First 90 Days
• 30 days: Get familiar with our platform architecture, data pipelines, monitoring tools, and cloud environment.
Understand existing observability practices, alerting systems, and software development workflows.
• 60 days: Begin actively improving logging, performance tracking, and cost monitoring across services. Contribute code to internal products and data-driven applications while tuning alerting systems for clarity and reliability.
• 90 days: Own observability standards for new features and pipelines. Lead root-cause investigations using monitoring data and implement long-term fixes through automation and code improvements. Drive continuous improvements in reliability, performance, and cost efficiency.

Meet the Team
You’ll work closely with software engineers, data engineers, product teams, and AI specialists in a collaborative, fast-moving environment.
The team values automation, operational excellence, and building systems that scale reliably while enabling rapid product innovation.

How Success Will Be Measured
• Consistent implementation of observability across all new services and features
• Improved system reliability, performance, and actionable alerting
• Early detection and resolution of cost anomalies in cloud usage
• Quality and maintainability of code contributions to data and AI-enabled products
• Reduction in recurring incidents through strong root-cause analysis and preventative solutions

Skills You’ll Gain
• Deep expertise in observability, monitoring, and cloud cost management
• Hands-on experience building data-driven and AI-enabled software products
• Strong exposure to automation and reliability engineering practices
• Experience working across infrastructure, software development, and operations
• Growth into AI/ML-adjacent systems and data platform engineering