AlphaSense

AlphaSense

Staff Platform Engineer, Cloud Developer Experience

New York, New York, United States · Staff+

Sponsorship not specified$223k-$305kDetected 6 days ago
PythonGoCloud PlatformsKubernetesCI/CDPlatform EngineeringOAuthRecruitingResearchCommunicationCollaboration

About the role

  • This is a Staff Engineer role with real breadth.

Responsibilities

  • Own and evolve our CI/CD architecture and the developer-facing experience
  • Drive continuous improvements to pipeline reliability, speed, and predictability
  • Own the delivery process end-to-end, from code merge to production
  • 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
  • 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 are committed to a work environment that supports, inspires, and respects all individuals.
  • With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust.

Requirements

  • Experience owning and operating a CI/CD platform at admin and architecture level, including security, configuration, and enablement
  • Hands-on software development experience including production-quality Go

Nice to have

  • 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
  • Strong experience in Platform Engineering or Developer Experience roles focused on CI/CD and delivery, ideally at companies with 200+ engineers

Compensation

  • $223,100 - $305,000 USD
  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • 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.

Benefits

  • Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content.

Company info

  • 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.
  • Progressive delivery, canary deployments, automated rollbacks, trunk-based development,
  • Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500.
  • Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

Equal opportunity

  • In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

This listing is sourced directly from AlphaSense's careers page and normalized into a canonical job model.