Staff Engineer - Backend

About the Role :

As a Staff Engineer at ThoughtSpot, you will lead the design and development of scalable systems that power core platform capabilities, including data modelling and metadata-driven features. You’ll bring deep backend engineering expertise, strong architectural thinking, and a developer-first mindset. This is a hands-on technical leadership role where you’ll mentor engineers, shape system design, and collaborate cross-functionally to deliver impactful, extensible capabilities across the platform.

What You'll Do :

• Design, develop, and maintain scalable, distributed backend systems using Java and related technologies.
• Drive architectural decisions and contribute to the evolution of modelling and metadata infrastructure.
• Build robust APIs and tools to improve developer productivity and integration experiences.
• Ensure seamless integration with platform components through SDKs, REST APIs, webhooks, and model context protocols (MCP).
• Troubleshoot and resolve complex system issues with a focus on performance, reliability, and maintainability.
• Provide technical mentorship and guidance to engineers across the team.
• Promote engineering best practices across design, code quality, testing, CI / CD, and observability.
• Collaborate with product managers, designers, and other engineering teams to deliver end-to-end platform features.
• Continuously evaluate and improve platform architecture, development workflows, and system performance.

What You Bring :

Preferred Qualifications :

What makes ThoughtSpot a great place to work?

ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-powered analytics and natural language search. 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 Selfless Excellence and our drive for continuous improvement (2% done), 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.

ThoughtSpot for All

Building a diverse and inclusive team isn't just the right thing to do for our people, it's the right thing to do for our business. We know we can’t solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we continually celebrate the diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. We’re committed to being real and continuously learning when it comes to equality, equity, and creating space for underrepresented groups to thrive. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.

About Us

The world's most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization, from C-suite executive to frontline employee, with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions and take action. ThoughtSpot is simple enough for any business person to use, yet built to handle even the largest, most complex data, wherever it may reside. That's why customers like T-Mobile, BT, Snowflake, HubSpot, Exxon, Daimler, Medtronic, Hulu, Nasdaq, OpenTable, Huel, and Nationwide Building Society have turned to ThoughtSpot to transform their data driven decision-making cultures.

Spotters are a curious and data-driven bunch. We believe the world would be a better place if everyone had access to facts, and we enjoy building products and solving problems that make it easier for people to ask and answer questions with data.

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