Member of Technical Staff 4 in Hyderabad, Telangāna at ThoughtSpot

ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.

As part of the Data Platform team at ThoughtSpot, you'll build and evolve the core platform powering secure, reliable, and high-performance connectivity between ThoughtSpot and modern cloud data warehouses. The team owns query execution, connection management, authentication, JDBC integrations, platform observability, semantic services, and AI-powered platform capabilities.

• Design and develop scalable backend platform services using Java 17/21+.
• Own query execution, connection lifecycle, authentication, JDBC driver management, and CDW metrics.
• Build integrations with Snowflake, Databricks, BigQuery, Redshift, Synapse and other cloud warehouses.
• Improve reliability, scalability, performance, and observability.
• Develop semantic metadata services and AI-assisted platform capabilities.
• Leverage LLMs, Agentic AI frameworks, and MCP integrations to enhance platform intelligence.
• Collaborate with Product, AI, Security, Infrastructure, and Customer Success teams.
• Drive engineering excellence through testing, automation, and operational ownership

What You Bring:

• 4+ years of software engineering experience.
• Strong Java (17/21+), distributed systems, and backend architecture.
• Deep understanding of SQL, query execution, JDBC, connection pooling, and database internals.
• Experience with OAuth, SAML, OIDC, JWT, Kerberos, or similar authentication technologies.
• Hands-on AWS/cloud-native development experience.
• Knowledge of observability (metrics, logging, tracing).
• Exposure to semantic layers, metadata management, LLMs, Agentic AI (LangChain/LangGraph/LlamaIndex), RAG, and vector databases.
• Excellent ownership, debugging, and communication skills.

Spotters are expected to be in office 3+ days per week to be part of the energy of their local team. Momentum compounds when we're in the room together with faster decisions, sharper problem-solving, and the kind of peer learning that doesn't happen over a screen. Being in-office is our default way of working, with flexibility available where it's genuinely needed.

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

• Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
• Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
• Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
• Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and AI Mindset:

• Curiosity in exploring new AI tools
• Adaptability to quickly learn and implement new, emerging AI technologies
• Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.

 Experience with Trino, Spark SQL, DuckDB, Calcite, or similar query engines.

 Kubernetes, Docker, CI/CD, and platform engineering.

 Passion for building developer platforms and AI-native analytics infrastructure.