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AlphaSense

Staff Platform Engineer, Cloud Developer Experience

Remote - United States; Remote - United StatesRemote · United States
Staff · Engineering
POSTED 12 AUGVERIFIED 2H AGO
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Pay · posted
$223k–305k
mkt median $241k
Open for
84d
since 12 Aug
H-1B · FY26
9
certified LCAs
Hiring · 30d
203
−4 net · open roles
PythonGoKubernetes

About AlphaSense

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.

About the Team

The Cloud DX team owns the outer loop of software development at AlphaSense, everything from the moment code is pushed to source control to the moment it reaches production, for ~400 engineers distributed across the globe. We've built a solid delivery foundation and we're now raising the bar toward industry-leading CI/CD. Progressive delivery, canary deployments, automated rollbacks, trunk-based development, GitOps workflows: these aren't aspirations but the direction we're actively building, and we're looking for passionate engineers to help shape what best-in-class looks like.

About the Role

This is a Staff Engineer role with real breadth. It requires both operational and software development skills, the ability to lead projects and collaborate across timezones with Engineering leaders and very senior Engineers across dozens of teams. You'll design and operate production-grade delivery infrastructure, contribute hands-on in Go and Python, and help shape the engineering practices a global organisation depends on.

We're looking for someone who genuinely embraces AI tooling in their day-to-day work, appreciates the productivity value it brings, and is motivated to push that further, both in their own practice and by helping embed AI-assisted workflows into the SDLC for the wider engineering organization.

Who You Are

  • Strong experience in Platform Engineering or Developer Experience roles focused on CI/CD and delivery, ideally at companies with 200+ engineers
  • Experience owning and operating a CI/CD platform at admin and architecture level, including security, configuration, and enablement
  • Proven ability to design and operate delivery systems at scale
  • Hands-on software development experience including production-quality Go
  • Passion for progressive delivery practices: canary deployments & automated rollbacks
  • Familiarity with cloud-native architectures and Kubernetes-based platforms
  • Passion for using AI to improve engineering velocity, quality, and developer experience
  • Strong collaboration skills and ability to influence across teams
  • [Nice to Have] Built and/or maintained an IDP in production
  • [Nice to Have] Previous experience working in both Software and Platform Engineering teams
  • [Nice to Have] Interest in Security and an understanding of RBAC and OAuth

What You’ll Do:

  • Own and evolve our CI/CD architecture and the developer-facing experience
  • Drive continuous improvements to pipeline reliability, speed, and predictability
  • Define paved paths that let product teams ship fast and safely without deep platform knowledge
  • Own the delivery process end-to-end, from code merge to production
  • Champion progressive delivery practices: canary deployments & automated rollbacks
  • Build tooling that makes deployments observable, repeatable, and self-service
  • Own and evolve our Internal Developer Portal and the self-service experience around it
  • Partner with Cloud Platform teams on infrastructure while owning the developer-facing delivery
  • Embed AI tooling into delivery workflows in ways that create lasting productivity gains

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

Source · AlphaSenseFirst seen 2 NovOriginal ↗