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AlphaSense seeks an experienced Senior Platform Engineer to own the search platform powering market intelligence across billions of documents. You will build scalable distributed systems, drive migration to modern architectures, and establish robust monitoring and deployment practices for enterprise reliability.
Ideal candidates will have 5+ years in distributed systems, experience with large-scale data platforms, and strong performance optimization skills.
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!
AlphaSense is seeking an experienced engineer to work on the search platform that powers market intelligence across billions of documents. You'll tackle the challenge of building distributed systems that handle hundreds of queries per second with millisecond latency, while establishing engineering excellence that ensures reliability for our enterprise customers.
This role is perfect for a seasoned engineer who loves challenges and has a track record of building robust, high-performance systems. While search experience is valuable, we believe great engineers can master new domains – what matters most is your ability to build systems that scale and don't break.
You'll own a critical platform that directly impacts how customers discover insights. This isn't just about maintaining a search system – it's about building the next generation of information retrieval at scale. You'll work with modern technologies (including hybrid lexical/vector search), but more importantly, you'll apply your distributed systems expertise to solve fascinating scale challenges.
The best part? You'll join a team of smart engineers who are eager to learn. Your experience in building bulletproof systems will directly elevate the entire team's capabilities.
Within your first year, you'll transform our search infrastructure from reactive to proactive, reduce latency, complete a major platform migration, and build systems that scale effortlessly with our growth. Most importantly, you'll establish engineering practices that ensure we never hear about customer issues first.
Locations: Remote - India / Europe
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
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.