Member of Technical Staff 4
ThoughtSpot · Hyderabad · onsite · Posted 56d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
What You'll Do
What You Bring
In-Office at ThoughtSpot
Mandatory and Required Skills for All ThoughtSpot Roles
ThoughtSpot for All
Preferred Qualifications
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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.
What You'll Do
- 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.
In-Office at ThoughtSpot
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.
Mandatory and Required Skills for All ThoughtSpot Roles
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.
AI Mindset for All Spotters
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.
ThoughtSpot for All
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.
Preferred Qualifications
Experience with Trino, Spark SQL, DuckDB, Calcite, or similar query engines.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Automationai frameworksamazon web servicesai technologiescustomer successbigqueryAnalyticsCloud DataDatabrickscloudAI ToolsContent CreationCommunication SkillsArchitectureAi PlatformBackend ArchitectureArtificial Intelligence
About ThoughtSpot
ThoughtSpot
Software Product
420
employees
2012
14 years old
San Jose,California
United States
About
ThoughtSpot delivers AI-driven analytics tools that enable organizations to gain instant data insights, enhancing decision-making processes across various business levels.
Industries
Software ProductInternet
Employee ratings
38 reviews
3.9/ 5
Culture
3.7
Career growth
3.3
Work-life
3.5
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