Staff Engineer - TE

About the role
ThoughtSpot is seeking an experienced Staff Engineer to lead the architecture and evolution of our Cloud Infrastructure and Observability control plane. You will lead the design of a multi-cloud control plane (AWS, GCP, Azure) that powers our Business Intelligence (BI) application, ensuring it is resilient, cost-efficient, and deeply observable. This role is ideal for a distributed systems expert who wants to solve complex challenges like Multi-Cloud Disaster Recovery, AI-Driven Operations, and FinOps-as-Code, while enabling engineering velocity through self-service platforms.

What you will do:

Architect the Next-Gen Observability Stack

• Build the "Single Pane of Glass": Design and operationalize a cutting-edge observability pipeline (Logs, Metrics, Traces) using Prometheus, ELK/EFK, Kafka, and OpenTelemetry.

• AI-Powered Operations: Lead the development of a customer-facing Operations Portal that incorporates AI agents and analytics to provide real-time health insights, automated root cause analysis, and QoS visibility to our customers.

• No-Touch Operations: Drive the platform toward "no-touch/low-touch" operations by implementing self-healing mechanisms and symptom-based alerting.

• Control Plane Engineering: Architect scalable microservices that orchestrate tenancy, feature flags, and configuration across AWS, GCP, and Azure.

​Multi-Cloud & Hybrid Cloud Strategy

• Drive the architecture and implementation of multi-cloud disaster recovery (DR) frameworks for both multi-tenant and single-tenant SaaS offerings.

• Create SDLC frameworks that allow for seamless deployment across multiple clouds without requiring redundant testing.

• Develop an app modernisation framework to migrate applications from legacy infrastructure to modern Kubernetes-based platforms.
   

Automation & Infrastructure as a Service

• Implement Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Ansible, and CloudFormation to automate provisioning and deployments.

• Provide automation and tools for both customer workflows and internal software development lifecycle (SDLC) processes.

• Integrate open-source technologies and custom-developed modules to build a state-of-the-art infrastructure stack.

• Customer-Obsessed Engineering: Ensure our observability isn't just watching servers, but watching the Customer Experience. You will instrument key user journeys (Login, Search, Checkout) to detect customer pain before they file a ticket.
   

Leadership & Collaboration:

• Provide technical leadership to a team of developers, conducting architecture reviews, and code reviews, and sharing best practices in cloud-native software development.

• Lead cross-functional collaborations to ensure infrastructure is built for scalability, performance, and security.

• Mentor and develop team members, driving a culture of technical excellence

What you will bring

• Experience: 10+ years of engineering experience, with at least 5+ years in a Staff/Principal role scaling enterprise SaaS platforms.

• Cloud Native Mastery: Deep hands-on expertise with Kubernetes, Docker. You have built and operated large-scale infrastructure on AWS, GCP, or Azure.

• Coding Proficiency: expert-level skills in Go (Golang) (preferred), Java, or Python. You can write production-grade microservices and K8s operators.

• Observability Deep Dive: You understand the internals of monitoring frameworks. You have scaled Prometheus federation, tuned Elasticsearch/Kafka for massive log ingestion, and implemented distributed tracing.

• IaC Expert: You treat infrastructure as software. Advanced proficiency with Terraform and Ansible is required.

• Distributed Systems Knowledge: You have a strong grasp of CAP theorem, consensus algorithms (Raft/Paxos), distributed storage, and networking fundamentals.

• Strategic Thinking: Experience building "Single Pane of Glass" solutions and managing the trade-offs between speed, cost, and reliability in a multi-cloud environment

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.