Platform Architect Search & Retrieval Systems

About AlphaSense:

The worlds 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 6000 enterprise customers including a majority of the S&P 500. Founded in 2011 AlphaSense is headquartered in New York City with more than 2000 employees across the globe and offices in the U.S. U.K. Finland India Singapore Canada and Ireland. Come join us!

About AlphaSense:

The worlds 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. Our platform is trusted by over 4000 enterprise customers including a majority of the S&P 500.

Founded in 2011 AlphaSense is headquartered in New York City with over 1300 people across the globe and offices in the U.S. U.K. Finland India and Singapore. For more information please visit .

About the Role

AlphaSense is seeking an experienced engineering leader to own and scale our search platform that powers market intelligence across billions of documents. Youll 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 large-scale data 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 dont break.

What Youll Do

• Scale Distributed Systems: Architect and optimize infrastructure handling billions of documents and hundreds of queries per second
• Lead Platform Evolution: Drive the migration from legacy systems to modern architecture ensuring zero downtime and improved performance
• Build Engineering Excellence: Establish comprehensive monitoring testing and deployment practices that catch issues before customers do
• Optimize Performance: Profile and tune systems from the infrastructure to the application level balancing cost and performance
• Drive Technical Strategy: Own the platform roadmap making architectural decisions that will scale 10x
• Mentor and Lead: Elevate the teams expertise in distributed systems and large-scale data challenges

What Were Looking For

Required:

• 12 years building and operating distributed systems in production
• Experience with large-scale data platforms (billions of records) or high-throughput systems (100 QPS)
• Track record of improving system reliability and performance at scale
• Deep expertise in distributed systems fundamentals: sharding replication consistency partition tolerance
• Strong performance optimization skills - you can profile diagnose and fix bottlenecks across the stack
• Experience with data pipeline architecture real-time processing or database internals
• Excellence in building observable systems with comprehensive monitoring and alerting
• History of leading technical initiatives and mentoring engineering teams

Preferred:

• Experience with search platforms (Vespa Elasticsearch Solr) or similar large-scale data systems
• Deep knowledge of Kubernetes CRDs and infrastructure as code
• Background in information retrieval ranking systems or recommendation engines
• Familiarity with hybrid search approaches (lexical and vector)
• Experience with JVM-based systems and tuning
• Knowledge of modern engineering practices from high-growth companies

Why This Role is Unique

Youll own a critical platform that directly impacts how customers discover insights. This isnt just about maintaining a search system its about building the next generation of information retrieval at scale. Youll work with modern technologies (including hybrid lexical/vector search) but more importantly youll apply your distributed systems expertise to solve fascinating scale challenges.

The best part Youll join a team of smart engineers who are eager to learn. Your experience in building bulletproof systems will directly elevate the entire teams capabilities.

Impact Youll Have

Within your first year youll 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 youll establish engineering practices that ensure we never hear about issues from customers first.

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 AlphaSenses 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.

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