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Staff Software Engineer

Staff Software Engineer

ThoughtSpot
  • Posted a day ago
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Job Description

About the team:

The Core App Services team is the backbone of ThoughtSpot's Search & AI engine. We build the application platform that powers authentication, authorisation, metadata management, search infra, etc. for our global SaaS ecosystem. If you enjoy solving the hard problems of distributed systems—like ensuring millisecond latency and high availability, this is the team for you.

About the Opportunity:

As a Staff Engineer (Backend), you will be a lead contributor in our team. This isn't a business-as-usual feature role; you will work on high-impact engineering challenges where you will build the scalable patterns that every other service at ThoughtSpot will follow. You will take ownership of critical backend services (high scale metadata layer with a lot of complex modelling, app foundation, etc.) and ensure they are resilient, secure, and hyper-scalable as we move to a cloud-native, production-first world.

What you'll do:

Core Platform Ownership: Design and optimize the mission-critical APIs that handle complex metadata, authentication, authorization, and core data orchestration.

Enterprise Features: Implement sophisticated features which enterprise customers can build upon, such as multi-tenancy (orgs), support for high scale, solving for noisy neighbours, etc.

Operational Excellence: Own your services from local dev to production. You'll optimize for high RPS (Requests Per Second), low latency, memory and maintain high availability. You will show ownership mentality and follow the best practices for monitoring to identify and address issues in production proactively before customers hit them.

What we look for:

Experience: 9+ years of deep backend experience, with a track record of building distributed systems at scale.

Core Tech: Expert-level proficiency in Java (Spring Boot) or Go. You should understand JVM internals or Go concurrency patterns deeply.

System Design: Strong grasp of Distributed Systems, CAP theorem, and consistency models.

Data & Messaging: Hands-on experience with Kafka for event-driven flows and high-performance databases (PostgreSQL, NoSQL, or Caching layers like Redis).

Modern Infra: Practical experience with Docker, Kubernetes, and Cloud Infrastructure.

Mindset: A Production-First mentality. You care about telemetry, tracing, and how your code behaves under heavy load.

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