What You'll Do

• Own the most complex, highest-leverage engineering work: core systems, shared frameworks, and critical infrastructure across multiple products.
• Define and evolve architecture decisions that prevent long-term dead-ends as the product portfolio grows.
• Spend the majority of your time writing and shipping production code, leading by example.
• Eliminate technical debt by refactoring abstractions and raising the bar on reliability and engineering standards.
• Mentor engineers through code review, pairing, and direct feedback to improve team output and reduce hidden risk.
• Contribute to the architecture and implementation of AI capabilities, including LLM pipelines and data infrastructure.

What We're Looking For

• 8+ years of software engineering experience with a track record of solving genuinely hard technical problems in production.
• Deep full-stack expertise with strong backend, API, and infrastructure skills; comfortable on the frontend when needed (Python, React, TypeScript).
• Proven experience designing and evolving systems across multiple products and teams, including long-term architectural strategy.
• Cloud and DevOps fluency: containerisation (Docker), cloud platforms (Azure, AWS, or GCP), and infrastructure as code (Terraform).
• Demonstrated ability to improve system performance, reliability, and scalability at scale.
• Experience building or integrating AI systems, LLMs, or large-scale data pipelines is a strong plus.
• A hands-on technical leader who mentors by doing and multiplies team effectiveness.
• Mission-driven, pragmatic, and decisive under uncertainty — comfortable with the intensity and pace of an early-stage startup.