Staff Platform Engineer
On-siteLondon, England, United Kingdom
Job Summary
Staff Platform Engineer at HyperExponential (HX) responsible for defining the 12–18 month technical direction for the AI-first platform, establishing architectural patterns and standards, and enabling autonomous, AI-augmented workflows across the organisation. You will drive coherence across engineering leadership, reduce platform bottlenecks, and ensure platform security, reliability, and operational excellence are embedded in all teams’ work. You will represent the platform strategy to senior leadership, help teams adopt platform capabilities through well-designed, well-documented interfaces, and mentor senior engineers to raise the team’s capability while delivering high-impact architectural decisions and roadmaps. The role emphasizes ownership of ambiguous problems, collaboration with senior engineers and stakeholders, and shaping a scalable, product-like platform that enables rapid, safe software delivery in insurance tech contexts. You’ll engage in interview steps such as a system design whiteboard exercise and values-based discussions as part of the process, with remote-friendly but London-hybrid team participation.
Required Qualifications
- Defined the architecture, standards, and patterns for the platform domain over a multi-quarter horizon. Makes high-judgement calls on foundational trade-offs such as build vs buy, depth vs breadth, short-term pragmatism vs long-term coherence and brings the organisation along on those decisions.
- Navigating disagreement across senior engineers, architects, and stakeholders to reach durable technical decisions. Comfortable holding a position under pressure, updating it when presented with better evidence, and ensuring decisions stick once made.
- Accountability for outcomes that span multiple teams and that they do not personally deliver. Designs systems, standards, and enablement approaches that multiply the effectiveness of the engineers around them, rather than being the primary hands-on contributor to every initiative.
- Defined how AI and automation are embedded into the platform at an architectural level not just experimenting with tools, but establishing patterns that make AI-augmented workflows the default for engineering teams across the organisation.
- Understanding of the adoption dynamics, internal customer needs, and the systemic barriers to self-service. Shapes the platform roadmap based on feedback, usage data, and a clear-eyed view of where friction exists and ensures the platform earns its adoption rather than mandating it.
- Identified architectural, security, and operational risks before they become incidents. Influences how the broader engineering organisation thinks about reliability, security posture, and cost efficiency not just within Platform's direct remit.
- Connecting platform decisions to business outcomes clearly and credibly. Can represent the platform strategy to senior leadership, translate engineering constraints into business language, and use commercial context to sharpen technical priorities.
- Actively developing senior engineers through technical challenge, honest feedback, and deliberate exposure to harder problems. Recognised as someone who raises the capability of the team, not just the quality of the code. Models the engineering culture the organisation is trying to build.
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