Jobs / United States / Alphasense INC
Staff Site Reliability Engineer
Alphasense INC · 🇺🇸 Remote - United States · Remote
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. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles2 certified filings for “Senior AI Engineer” (Software Developers) in NJ: $225k–$315k, median $270k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Alphasense INC
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. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Alphasense INC →
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 Role: Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization. Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company. Who You Are: • 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position • Strong background in running production SaaS systems at scale. • Proficiency in at least one programming/scripting language (Python, Go, or similar). • Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes. • Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing). • Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK). • Familiarity with advanced observability (OTEL, continuous profiling). • Proven incident management experience, including leading high-severity incidents and postmortems. • Strong troubleshooting skills across the full stack. • Excellent communication and collaboration skills. What You’ll Do: • Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture. • Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention. • Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards. • Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements. • Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively. • Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing. For base compensation, we set standard ranges for all roles based on function and level benchmarke