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AlphaSense is seeking a Staff Software Engineer, Full Stack (Frontend Heavy) to join the Content Experience Team. The role is hands-on and high-impact, requiring an experienced engineer to lead efforts in building scalable, performant, and reliable software systems that power the AlphaSense platform. You will shape technical architecture, mentor engineers, and drive engineering excellence across teams.
AlphaSense is a market intelligence platform trusted by over 6,000 enterprise customers, including a majority of the S&P 500. The company combines AI-driven search with a universe of public and private content including equity research, company filings, event transcripts, expert calls, news, and trade journals. Founded in 2011 and headquartered in New York City, AlphaSense has over 2,000 employees globally with offices across the US, UK, Finland, India, Singapore, Canada, and Ireland.
In this role, you will design and build high-quality, performant, and scalable software systems across backend and frontend. You will own the technical architecture and reliability of backend services alongside frontend microapps, lead technical design discussions, and take ownership of full-stack development projects from backend APIs to front-end integration. You will serve as architectural glue across multiple domains, apply best practices in DevOps and CI/CD, mentor and coach engineers, and collaborate with globally distributed teams. Additionally, you will drive innovation by evaluating emerging technologies, build and integrate intelligent features leveraging LLMs and AI frameworks, and partner with other teams to optimize intelligent features within the platform.
REQUIREMENTS:
- Bachelor's or Master's Degree in Computer Science or related discipline
- Minimum 8 years of software development experience building scalable, high-performing, and robust applications
- Strong proficiency in JavaScript with solid experience in full-stack development
- Expertise in modern web frameworks such as React, TypeScript, and GraphQL
- Experience with at least one backend language/framework (e.g., Node.js, Java, Python)
- Strong computer science fundamentals (data structures, algorithms, multithreading, distributed systems)
- Experience with SQL/NoSQL databases (e.g., DynamoDB, MySQL, Redis, Elasticsearch, Solr/Vespa/Lucene)
- Cloud-native development experience with AWS or GCP
- Skilled with containerization and orchestration tools (Kubernetes, Docker, Helm)
- Familiarity with observability tools and platforms (monitoring, logging, tracing)
- Experience with service reliability, on-call ownership, and incident triage for production systems
- Demonstrated ability to lead technically within distributed, cross-functional teams
- Hands-on experience using AI-assisted development tools (e.g., Claude Code, Copilot) as a core part of daily engineering workflow
- Track record of driving AI adoption within engineering teams—establishing best practices, defining guardrails, evaluating tools, and measurably improving team velocity through AI-assisted workflows (strong plus)
