Jobs / United States / Alphasense INC

Alphasense INC

Staff Platform Engineer, Cloud Developer Experience

Remote - United States · Remote · US only Posted 1 month ago

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Alphasense INC paid sponsored hires in similar roles2 certified filings for “Senior AI Platform Engineer” (Software Developers) in NY: $132k–$275k, median $203k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Alphasense INC paid sponsored hires in similar roles
2 certified filings for “Senior AI Platform Engineer” (Software Developers) in NY: $132k–$275k, median $203k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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

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