We are looking for a Senior Engineer to join our Cloud Platform team and take ownership of the architecture and evolution of our multi-tenant SaaS platform. You will work at the intersection of backend engineering and cloud infrastructure, designing and building the systems that power our control plane and data plane at scale.

This is a high-impact, high-ownership role. You will be a technical anchor for the team, driving architecture decisions, mentoring engineers, and partnering with product and infrastructure leaders to shape the future of our cloud platform.

What You Will Do

Architecture & Design

Own end-to-end architecture for the cloud platform, spanning control plane and data plane
Design multi-tenant systems with strong isolation, security, and resource governance
Define platform abstractions that work across hybrid environments AWS, GCP, Azure, and on-premises
Drive architectural reviews, RFCs, and ensure decisions are well-reasoned, documented, and scalable

Control Plane

Architect and build systems for tenant provisioning, lifecycle management, and configuration
Design cluster orchestration and management systems that operate reliably at scale
Build APIs and automation that enable self-service for operators and tenants
Ensure control plane is highly available, auditable, and observable

Data Plane

Design data path components for high-throughput, low-latency workloads
Build and enforce isolation boundaries between tenants at the data layer
Optimise for performance, reliability, and cost efficiency at scale

Engineering Excellence

Set technical direction and coding standards for the platform team
Identify and address systemic risks — reliability, scalability, security, and operability
Partner with SRE and DevOps on observability, incident response, and capacity planning

Must Have

SaaS Platform & Multi-Tenancy

Hands-on experience building or operating multi-tenant SaaS platforms at scale silo/pool/bridge models, noisy neighbour mitigation, tenant resource quotas, and lifecycle automation (onboarding, provisioning, off-boarding)
Knowledge of data isolation strategies schema-per-tenant, database-per-tenant, row-level security, and per-tenant encryption at rest

Control Plane & Data Plane

Proven experience with control plane / data plane separation and cluster management — Kubernetes operators, CRDs, admission web-hooks, RBAC, and namespace isolation
Understanding of configuration management at scale — GitOps workflows, feature flags, and dynamic config propagation across distributed environments

Cloud & Hybrid Infrastructure

Deep expertise in any one of AWS, GCP, or Azure VPC, IAM, managed Kubernetes (EKS/GKE/AKS), IaC (Terraform/Pulumi), and cost optimisation across hybrid environments
Familiarity with service mesh technologies — Istio, Linkerd, or Envoy for traffic management, mTLS, and microservices observability

Distributed Systems & Security

Strong grasp of distributed systems fundamentals HA patterns, fault tolerance, observability (OpenTelemetry, Prometheus, Grafana), and resilience testing
Understanding of zero-trust security, secrets management (Vault, AWS Secrets Manager)

AI-Augmented Engineering

Actively uses AI coding assistants — Claude, Cursor, Copilot — for
infrastructure tasks, runbook generation, incident analysis, and ADR drafting
Able to craft effective prompts for complex engineering problems and critically evaluate AI output; evaluates and drives AI tool adoption across the platform team

Good to Have

Exposure to FinOps practices
Hands-on experience building and maintaining observability platforms, centralised logging pipelines, metrics dashboards (Grafana, Datadog, or equivalent), distributed tracing infrastructure, and alert management systems that give engineering teams real-time visibility into platform health
Contributions to open-source infrastructure or platform projects

Compensation & Benefits

In California, the estimated annual salary range for this role is $100K – $120K per year.

Actual compensation may vary and will be determined based on permissible, non-discriminatory factors such as skills, qualifications, experience, and location of the selected candidate.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits.

Mandatory and Required Skills for All ThoughtSpot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and AI Mindset:

Curiosity in exploring new AI tools
Adaptability to quickly learn and implement new, emerging AI technologies
Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

Hybrid Work at ThoughtSpot

This office-assigned role is available as a hybrid position, reporting to the office in US - Mountain View.

Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

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.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. 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 Trust, Customer Obsession, Innovation and Intensity, 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.

About ThoughtSpot

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.

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