Staff Search Platform Engineer

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

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. Our platform is trusted by over 4,000 enterprise customers, including a majority of the S&P 500.

Founded in 2011, AlphaSense is headquartered in New York City with over 1,300 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. 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 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 don't break.

What You'll 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 team's expertise in distributed systems and large-scale data challenges

What We're Looking For

Required:

• 8+ 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

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.

Impact You'll Have

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 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 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.

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