Software Engineer (Js, Typescript)
Sundayy
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About the role
Role Overview
Staff Software Engineer for the Expert Research team, supporting expert call services at the core of AlphaSense’s expert-call offering. You’ll help scale systems that power thousands of expert calls monthly, improve analyst workflows, and integrate third-party data to grow the expert library.
Responsibilities
- Design, develop, and maintain robust software solutions for complex business problems
- Deploy frequently (multiple times daily) using feature flags and automated processes
- Research and implement techniques to optimize engineering solutions and platform capabilities
- Build tools/libraries/practices to improve team productivity (e.g., automated deployment pipelines, code quality standards)
- Own end-to-end projects from conception through deployment and monitoring
- Translate business needs into scalable technical solutions and participate in solution design
- Mentor senior engineers, influence technical culture, and uphold best practices in system design
Requirements
- 10+ years of software development experience building reliable, mission-critical applications
- Strong CS fundamentals: algorithms, data structures, asynchronous programming, distributed systems
- Experience designing scalable architecture and system components
- Agile development experience and automated testing practices
- Proven delivery of high-quality solutions under tight deadlines
- Demonstrated leadership in technical decision-making and cross-team collaboration (without direct management)
- Ability to operate in ambiguous environments and drive clarity
- Excellent communication and a collaborative, mentorship-oriented mindset
Nice to Have / Additional Context
- Work across a full-stack tech stack including Ruby on Rails, TypeScript, Vue.js, and React
- Embed AI capabilities into the platform and deliver features improving performance at scale
About Sundayy
AlphaSense is a market intelligence platform trusted by thousands of enterprise customers, including many S&P 500 companies. Using AI-driven approaches, it turns diverse sources such as filings, transcripts, news, and proprietary research into reliable insights for decision-making. The company also expanded capabilities through its 2024 acquisition of Tegus.
Scraped 6/11/2026