Staff Engineer

1 week ago


Bengaluru, Karnataka, India ThoughtSpot Full time ₹ 20,00,000 - ₹ 25,00,000 per year

As a Staff Engineer on the Embedded Analytics team at ThoughtSpot, you will lead the design and development of scalable backend systems powering our embedded analytics offerings. You'll bring deep Java expertise, architectural thinking, and a strong developer experience mindset. This is a hands-on technical leadership role where you'll mentor engineers, drive system design, and collaborate cross-functionally to build high-impact, extensible features.

What You'll Do

  • Design, develop, and maintain scalable, distributed backend systems using Java and related technologies.
  • Contribute to and influence the foundational architecture of the Embedded Analytics platform.
  • Enhance the developer experience through intuitive, well-documented APIs and tools.
  • Ensure seamless integration via multiple exposure paths such as SDKs, REST APIs, webhooks, and model context protocols (MCP).
  • Troubleshoot and resolve complex system issues to ensure high availability and performance.
  • Provide technical guidance and mentorship to engineers across the team.
  • Promote best practices in design, testing, code quality, CI/CD, and observability.
  • Collaborate closely with product managers, designers, and cross-functional engineers to deliver end-to-end solutions.
  • Continuously evaluate and improve system design, processes, and architecture

What You Bring

  • Bachelor's or Master's degree in Computer Science or related field.
  • 8+ years of backend software engineering experience.
  • Expertise in Java and familiarity with modern backend languages e.g., Python, GoLang.
  • Proven experience in building and operating scalable, distributed systems.
  • Solid understanding of system design, architecture patterns (microservices, API gateways), and backend best practices.
  • Strong focus on developer experience and API usability.
  • Excellent problem-solving and communication skills.
  • Demonstrated ability to mentor and lead engineers effectively

Preferred Qualifications

  • Familiarity of Model context protocols (MCP) and agent-to-agent (A2A) communication patterns
  • Experience with relational databases (e.g., MySQL, PostgreSQL) or Graph databases.
  • Exposure to cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
  • Experience building APIs or SDKs for external developer use.
  • Contributions to open-source projects or technical blogs.
  • Understanding of CI/CD pipelines and infrastructure automation tools.

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.


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