About The Position

AlphaSense is seeking a Principal Software Engineer to join our Web Infrastructure team. This role is crucial for enhancing the foundation upon which frontend engineers build their applications. The Web Infra team is responsible for CI/CD, build tooling, observability, feature flags, microfrontend architecture, performance optimization, and engineering standards within a large React monorepo. The decisions made by this team directly impact engineering velocity, deployment confidence, reliability, and the overall developer experience across the company. We are focused on improving developer productivity, measured by metrics such as build times, deployment reliability, DORA metrics, and developer satisfaction. This is a Principal-level role, requiring the ability to identify opportunities, set direction, and drive high-impact initiatives autonomously. The successful candidate will work closely with the European team on strategy and roadmap while owning outcomes end-to-end. A key aspect of this role involves embedding AI into the Software Development Life Cycle (SDLC) to augment engineers' workflows, defining the future of AI-native development experiences for frontend engineers at AlphaSense in building, testing, debugging, and shipping software at scale.

Requirements

  • Principal-level experience in platform engineering, developer experience, or internal tooling
  • Deep hands-on background with Web CI/CD: pipeline design, reliability, build optimization
  • Hands-on experience with CDN and edge infrastructure (CloudFront, Lambda@Edge, S3)
  • Solid knowledge of modern frontend — React at scale, microfrontends, module federation
  • Experience scaling frontend observability: errors, performance, RUM and analytics
  • Track record of improving DevEx metrics in the right direction (DORA, DX insights, CSAT)
  • Strong instinct for finding systemic friction and solving it pragmatically
  • Proven ability to operate independently in a distributed team across a timezone gap
  • Hands-on experience applying AI tooling to real engineering workflows
  • Based in EST timezone

Nice To Haves

  • Experience with progressive delivery and feature flag platforms
  • Experience with test platforms and QA automation
  • Familiarity with Kubernetes-based infrastructure and cloud-native deployment patterns
  • Prior work on a platform or DX team serving frontend engineers specifically

Responsibilities

  • Own and improve the dev loop for frontend: local dev, build, test — fast, reliable, no flakiness
  • Drive CI/CD reliability, speed, and deployment confidence across the frontend platform
  • Evolve microfrontend architecture, module patterns, and the standards inside the monorepo
  • Build and maintain self-service tooling and internal platform capabilities
  • Embed AI across the web SDLC — code authoring, testing, debugging, documentation
  • Define, track and improve developer productivity metrics: build time, DORA, developer CSAT
  • Identify systemic friction in the developer journey and fix it with solutions that scale

Benefits

  • performance-based bonus
  • equity
  • generous benefits program
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