Lead Site Reliability Engineer, Artificial

• Experienced in designing and delivering complex systems or major features with end-to-end ownership
• Write high-quality, maintainable code and actively reduce technical debt to improve long-term system health
• Strong hands-on experience with performant Haskell and sound judgement around libraries and abstractions
• Confident applying a range of testing approaches to match the problem and risk profile
• Background in infrastructure, operations, or SRE-adjacent work, with a focus on reliable, observable systems
• Comfortable operating production systems using Docker, Nix, Terraform, and AWS
• A clear communicator who aligns teams around complex ideas and focuses on impact and efficiency
• Passionate about mentoring, giving constructive feedback, and supporting healthy team dynamics
• Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts

Desirable

• Within the Engineering team, we strive to:
• Build high-quality, robust features and supporting infrastructure that sets the standard for the rest of the engineering team
• Asking good questions, sharing knowledge, mentoring and developing others in the team
• To continuously improve operations (think: Kaizen, Toyota Way)
• To spread skills across the team, discouraging knowledge silos
• To have the confidence needed to be ambitious and do what others can’t
• You’ll be working with talented people, using the latest technology in an environment that supports learning
• As an outcomes-focused business, taking ownership is not only expected but embraced, meaning the opportunity to create meaningful change is within your power
• About the role:
• Design and deliver moderately complex standalone systems and major new features within existing platforms
• Own end-to-end delivery of large projects, from design through to production, with accountability for outcomes
• Write consistently high-quality, production-ready code and lead improvements to system health and maintainability
• Make informed decisions on libraries, abstractions, and tooling, clearly communicating trade-offs
• Develop and operate performant Haskell services, applying appropriate data structures and testing strategies
• Drive system reliability, observability, and incident response, working hands-on with infrastructure and operations
• Communicate complex technical and organisational topics clearly, creating alignment across teams and stakeholders
• Mentor and support engineers, improving team processes, wellbeing, and long-term organisational effectiveness