Engineering Leader- Cloud Platform

About The Role:

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.

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.