📋 Description

• Turn product requirements into technical requirements: model the domain, define the interfaces and
• Break large problems into work other engineers can own, and sequence it so we ship something useful
• Drive high-impact architectural decisions across the data platform, and own components end to end
• Work across our stack, mainly Go, Kotlin, Rust and Python where they fit, choosing the right tool
• Design for correctness and performance under real volume: large-scale ingestion, distributed
• Raise the bar on design reviews, testing, and how the team breaks work down

🎯 Requirements

• Strong generalist with real computer science fundamentals, and ability to adapt quickly to new
• Reason from first principles, making implied constraints and invariants explicit to design solutions
• Designed and shipped distributed data systems at scale, with explicit contracts, invariants, and
• Comfortable with ambiguity, collaborating with product and customers, then committing to and
• Skilled with AI tools, understands their failure modes, and avoids poor-quality AI-generated output
• Excellent written communication, working effectively in a distributed team

🎁 Benefits

• A competitive salary and equity package 🚀. Both are top 25% of companies in the space
• Employee equity scheme with world-class employee-friendly terms, heavily discounted strike price
• 5 weeks PTO + local public holidays (that can be swapped to suit you) 🏖
• A fully remote-first approach 🧑💻 within a distributed team with flexible working hours; you
• A healthy mix of async and sync work, so you can focus on what truly matters—no more wasted time on
• private medical insurance, dental & vision as standard 🩺