Director of Engineering - Cloud Platform

Reposted 4 Days Ago
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Bangalore, Bengaluru Urban, Karnataka
In-Office
Senior level
Cloud • Analytics
We are AI-Powered Analytics company that lets everyone create personalized insights to drive decisions and take action.
The Role
Lead and grow engineering teams focused on cloud control plane and observability, ensuring performance and resilience in multi-cloud services.
Summary Generated by Built In

We are seeking a Platform Engineering Leader to head our Cloud Control Plane and Observability initiatives. This leader will be responsible for building and scaling the foundational platform services that power all of ThoughtSpot’s SaaS offerings. This role is ideal for someone who thrives on solving complex infrastructure problems at scale, loves enabling engineering velocity, and is deeply passionate about resilience, performance, and observability in multi-cloud environments.
 

What You'll Do:

  • Lead and Scale Platform Teams: Manage and grow high-performing engineering

  • teams working on core control plane services and observability infrastructure.

  • Own the Cloud Control Plane: Architect and operate scalable control plane services, including service orchestration, feature flag systems, configuration propagation, tenancy-aware deployments, and health monitoring.

  • Build a World-Class Observability Stack: Own logging, metrics, tracing, alerting, and visualization to support both developer productivity and system reliability.

  • Drive Operational Excellence: Establish SLOs, improve MTTR/MTTD, and embed

  • resilience across the platform.

  • Partner Across the Org: Collaborate with SRE, Security, Application, and Product

  • Engineering teams to ensure platform services meet evolving business needs.

  • Architect for Multi-Tenant SaaS: Enable secure and efficient scaling across tenants in AWS and GCP, with attention to cost, compliance, and observability.

  • Contribute Hands-On: Participate in architecture reviews, deep dive into production issues, and mentor engineers on best practices in system design and debugging.

What You Bring:

  • 12+ years of engineering experience, with at least 5 years in platform/infrastructure leadership roles.

  • Expertise in Kubernetes, service meshes, CI/CD pipelines, and cloud-native

  • architecture.

  • Proven experience with control plane engineering, including service discovery,

  • dynamic config, scaling orchestration, and policy enforcement.

  • Deep understanding of observability tooling (e.g., Prometheus, Grafana,

  • OpenTelemetry, Datadog, Elastic, etc.).

  • Familiarity with distributed systems concepts like CAP theorem, consensus, and leader election.

  • Experience operating multi-tenant systems in AWS and/or GCP environments.

  • Hands-on experience with at least one major programming language (Go, Java, Python).

  • Strong stakeholder management and the ability to influence architectural direction across orgs.

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

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.

Top Skills

AWS
Ci/Cd
Cloud-Native Architecture
Datadog
Elastic
GCP
Go
Grafana
Java
Kubernetes
Opentelemetry
Prometheus
Python
Service Meshes
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The Company
HQ: Moutain View, CA
1,000 Employees
Year Founded: 2012

What We Do

The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions. ThoughtSpot delivers a complete platform for the modern data stack spanning the entire spectrum of business intelligence needs, from ad hoc novel analysis with a code-first approach, to code-free self-service exploration and AI-driven monitoring powered by natural language. That’s why companies like T-Mobile, CVS, Pepsico, Daimler, Nasdaq, and Huel have turned to ThoughtSpot to transform their data driven cultures.

Why Work With Us

We’re on a mission to build a more fact-driven world. 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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