Platform Engineer

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a £7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-pound decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Platform team Platform at hx builds the foundations that enable hx engineering teams to deliver secure, scalable, and reliable software at speed. As hx evolves into an AI-first platform company, the team plays a critical role in shaping how infrastructure, automation, and developer tooling accelerate innovation across the business. The team owns the internal platform experience across cloud infrastructure, deployment tooling, CI/CD, observability, and developer workflows. Their focus is on reducing operational complexity through reusable infrastructure, self-service capabilities, and intelligent automation that enables product engineers to move faster while maintaining high standards for security, reliability, and cost efficiency. As a Platform Engineer , you’ll contribute directly to the evolution of the platform, partnering closely with software engineers and senior platform engineers to improve developer experience, experiment with AI-enabled workflows, and deliver pragmatic solutions that scale with the organisation. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Building and maintaining reusable Infrastructure as Code modules and self-service platform capabilities that enabled engineering teams to provision and deploy services more consistently and efficiently. Contributing to AI-enabled developer workflows across CI/CD, operational tooling, and automation, helping reduce manual effort and improve engineering productivity. Delivering secure, scalable cloud infrastructure aligned with platform standards, improving reliability and reducing operational overhead for internal teams. Collaborating with product engineering teams to understand friction points, improve platform usability, and increase adoption of internal tooling and platform services. Monitoring and improving platform performance, deployment workflows, and operational efficiency using metrics, feedback, and iterative improvements. Contributing to a culture of engineering excellence by sharing knowledge, participating in technical discussions, and continuously improving platform standards and practices. What you'll need to have done Built and supported production-grade cloud infrastructure using Infrastructure as Code tooling such as Terraform, achieving scalable and maintainable platform capabilities. Delivered CI/CD pipelines and automation workflows that improved deployment reliability, reduced manual intervention, or accelerated delivery cycles. Implemented secure infrastructure and operational best practices that reduced configuration drift, security exceptions, or operational risk. Contributed to platform, tooling, or developer experience initiatives that improved usability, standardisation, or adoption across engineering teams. Experimented with AI or automation tooling to improve developer workflows, operational efficiency, or engineering productivity within a real-world environment. Taken ownership of well-defined technical problems from implementation through to operational support, collaborating effectively with teammates and stakeholders to deliver reliable outcomes. You're unlikely to thrive here if You prefer executing predefined tasks over taking ownership of ambiguous problems that require exploration, experimentation, an