We are looking for backend engineers who are passionate about shaping how enterprises model, manage, and explore data at scale. As part of this team, you'll help design the next generation of ThoughtSpot's natural language relational search engine, personalized data exploration platform, universal object search, AI-powered ranking and relevance engine, and distributed in-memory data :
- Design and implement scalable backend systems that model, process, and manage large volumes of structured and semi-structured data.
- Build core services and abstractions to enable efficient query planning, semantic modelling, and schema evolution for enterprise-scale data.
- Analyze and improve the efficiency, scalability, and reliability of backend systems powering data exploration and search.
- Write clean, robust code along with functional, performance, and system-level test suites.
- Contribute to evolving our metadata, indexing, and data modelling frameworks to support self-serve analytics at scale.
Requirements :
Strong coding skills with 3+ years of experience in modern languages such as Java.Having the ability to write clean, effective code is a must, and drilling deep into technical implementation.Have experience working with cross-functional teams in a dynamic environment.Good understanding of distributed systems, scalability, and availabilityStrong problem-solving skills, algorithmic thinking, and a strong foundation in how systems work.Experience in designing and developing scale-out, high-performance data platforms is a plus.(ref : hirist.tech)