You're viewing demo data. Sign in and upload your LinkedIn connections to see jobs where you know someone.
← Back

Production Engineer

ThoughtSpot · India - Bangalore · workday

Apply →
Score: 46 S:10 R:10 D:20 C:6
First seen: 2026-01-29 · Last seen: 2026-02-10

Your contacts at ThoughtSpot (2)

Demo Contact Your Connection
Demo Contact Your Connection

Why You're a Fit

Cross-functional leadership with sales, marketing, product
Director, AI Emerging Tech, ServiceNow (2025-present)
"...rkflows), Excellent communication, documentation, and cross-functional collaboration skills, particularly bridging development and operations..."
Cloud platforms (AWS, Azure, hybrid)
Technical skills
"Familiarity with cloud architectures, analytics platforms, and modern AI/ML frameworks is a plus"
Strong cross-functional collaboration
Leadership
"Collaboration and Best Practices: Collaborate with Engineering and SRE teams to ensure production-ready solutions, maintain code quality standards, an..."
Driving AI solutions strategy
Director, AI Emerging Tech, ServiceNow (2025-present)
"...patterns, and use Java or Python to build robust, scalable solutions (including AI/ML-based scripts) to proactively detect, triage, and resolve incid..."
IoT, web-based, cross-platform solutions
Director, Product, Dell Technologies (2019-2021)
"...patterns, and use Java or Python to build robust, scalable solutions (including AI/ML-based scripts) to proactively detect, triage, and resolve incid..."
Saved $150M OPEX through automation initiatives
Track record
"...y improving system supportability through robust coding and automation..."

Job Description

Hybrid

Production Engineer – AI Agents


What's the role:

The Production Engineer (PE) at ThoughtSpot is a critical, hybrid role focused on bridging the gap between AI Agent Development and Reliability Engineering. This position requires a strong background in software development (specifically Java or Python), deep knowledge of system design, and hands-on expertise in production operations. The PE is responsible for driving operational excellence, accelerating issue resolution, and proactively improving system supportability through robust coding and automation.
 

What You'll Do:

  • Engineering and SRE Liaison: Act as the primary technical expert providing product architecture and system design insights to SRE and ProdOps teams, and operational feedback (supportability, reliability) to Engineering teams.

  • System Design and Development: Apply deep system design knowledge to production environments, and use coding skills (Java/Python) to develop, implement, and maintain AI-powered tools to streamline ProdOps processes, reduce manual intervention, and improve system reliability.

  • Incident Resolution and Automation: Analyze recurring production issues from Spotter (AI Agent), identify patterns, and use Java or Python to build robust, scalable solutions (including AI/ML-based scripts) to proactively detect, triage, and resolve incidents.

  • Defect Triage and Ownership: Own initial triage of customer-found defects, using code analysis skills to gather necessary information before escalating, and often providing code-based workarounds or fixes directly.

  • Collaboration and Best Practices: Collaborate with Engineering and SRE teams to ensure production-ready solutions, maintain code quality standards, and adopt operational best practices across the organization.

  • Documentation and Knowledge Transfer: Maintain and enhance knowledge bases, SOPs, and documentation for recurring issues, workflows, and code-based automation tools.

  • Operational Readiness Review: Participate in exit reviews for product epics to ensure feature quality, system design coherence, and comprehensive operational readiness coverage, with a focus on automation.
     

What You Bring:

  • Strong background in production operations, and large-scale distributed systems.

  • Mandatory proficiency in reading and writing code in Java and/or Python.

  • Demonstrated experience and knowledge in system design principles and practices.

  • Proven experience building, deploying, and operating production-grade software and tooling for ProdOps use cases (e.g., automation, anomaly detection, triage systems, reliability tooling, self-healing workflows),

  • Excellent communication, documentation, and cross-functional collaboration skills, particularly bridging development and operations.

  • Experience in support engineering, SRE, or a similar liaison role is preferred.

  • Familiarity with cloud architectures, analytics platforms, and modern AI/ML frameworks is a plus.
     

This position is ideal for software engineers with system design expertise who want to leverage their coding skills (Java/Python) to solve complex operational challenges, driving the next generation of production reliability and supportability at ThoughtSpot.

Hybrid Work at ThoughtSpot

This office-assigned role is available as a hybrid position.

Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office requirement of at least three days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

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

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.

Apply for this role →