Hyperexponential

4 weeks ago

Staff Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Staff Platform Engineer at hx will define the 12–18 month platform direction, set architecture standards, and drive adoption of AI-first, self-service infrastructure across engineering teams. You’ll reduce platform bottlenecks, codify patterns for autonomous workflows, and partner with senior engineers to strengthen architectural judgment. This role shapes security, reliability, and cost efficiency while mentoring engineers and aligning platform work with business outcomes.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Establish a coherent 12–18 month technical direction for the platform, with clearly articulated trade-offs, milestones, and alignment across engineering leadership.
•Platform capabilities are adopted broadly across engineering, not because teams are told to use them, but because they are well-designed, well-documented, and genuinely reduce friction.
•Define the architectural patterns and standards that enable autonomous and AI-augmented workflows across the organisation.
•Platform defined standards for security, reliability, and operational excellence are embedded into how all teams build.
•Senior engineers are visibly stronger for having worked alongside you and you are sought out as a technical authority.

Pay and Benefits

Equity and Bonus:Equity

Perks:Learning BudgetHolidayPensionHealth InsuranceWellness StipendIncome ProtectionLife Insurance

Key Requirements

•Design and document the platform's architecture, standards, and patterns for a multi-quarter horizon, including build vs buy decisions.
•Make high-judgement calls on foundational trade-offs and bring the organisation along on those decisions.
•Navigate disagreement across senior engineers and stakeholders to durable technical decisions under pressure.
•Develop enablement approaches that multiply team effectiveness rather than hands-on delivery.
•Define how AI and automation are embedded into the platform to make AI-augmented workflows the default.

Experience:InsuranceAISaaS

Skills:AICloudInfrastructureAutomationSecuritySystem design

Tech Stack:AISelf-service infrastructureSystem designCloudAutomationSecurity

Company Brief

Hyperexponential

Provides pricing decision-intelligence (PDI) software (hx Renew) that helps commercial P&C insurers and reinsurers build, deploy and manage pricing and underwriting models using machine learning and alternative data to improve risk selection and pricing performance.

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Revenue: USD 25M to 50M

Growth: Growth Stage Startup

Funding: Series B

Headquarters: London, United Kingdom

Founded: 2017

Glassdoor: 3.5

Website LinkedIn Glassdoor

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Hyperexponential

4 weeks ago

Staff Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Establish a coherent 12–18 month technical direction for the platform, with clearly articulated trade-offs, milestones, and alignment across engineering leadership.
•Platform capabilities are adopted broadly across engineering, not because teams are told to use them, but because they are well-designed, well-documented, and genuinely reduce friction.
•Define the architectural patterns and standards that enable autonomous and AI-augmented workflows across the organisation.
•Platform defined standards for security, reliability, and operational excellence are embedded into how all teams build.
•Senior engineers are visibly stronger for having worked alongside you and you are sought out as a technical authority.

Pay and Benefits

Equity and Bonus:Equity

Perks:Learning BudgetHolidayPensionHealth InsuranceWellness StipendIncome ProtectionLife Insurance

Key Requirements

•Design and document the platform's architecture, standards, and patterns for a multi-quarter horizon, including build vs buy decisions.
•Make high-judgement calls on foundational trade-offs and bring the organisation along on those decisions.
•Navigate disagreement across senior engineers and stakeholders to durable technical decisions under pressure.
•Develop enablement approaches that multiply team effectiveness rather than hands-on delivery.
•Define how AI and automation are embedded into the platform to make AI-augmented workflows the default.

Experience:InsuranceAISaaS

Skills:AICloudInfrastructureAutomationSecuritySystem design

Tech Stack:AISelf-service infrastructureSystem designCloudAutomationSecurity

Company Brief

Hyperexponential

Industry: InsurTech

Company Size: Medium (51 to 250 employees)

Revenue: USD 25M to 50M

Growth: Growth Stage Startup

Funding: Series B

Headquarters: London, United Kingdom

Founded: 2017

Glassdoor: 3.5

Website LinkedIn Glassdoor