Senior Engineer, Software

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 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. 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 What We're Looking For Required: 5+ years building and operating distributed systems in production Experience with large-scale data platforms or high-throughput systems 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 Preferred: Experience with search platforms (Vespa, Elasticsearch, Solr) or similar large-scale data systems Experience with Kubernetes, CRDs, and infrastructure as code Background in information retrieval, ranking systems, or recommendation engines