AlphaSenseAlphaSense

Staff Site Reliability Engineer

Added 2 months ago

Description

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. 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. Come join us!

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.

Responsibilities include architecting reliability platforms, leading incident response, driving AI-driven reliability, championing reliability culture, incident leadership, advancing observability, and mentoring engineers.

Company

AlphaSense provides a comprehensive market intelligence platform that unifies research workflows, leveraging generative AI to deliver real-time insights with sentence-level citations from a large corpus of premium financial and business documents.

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