About the Role: We are looking for a Staff Engineer to lead the technical direction of our Developer Productivity platform. You will own the architecture of our CI/CD systems, Kubernetes-based developer environments, and self-service platform — while driving the strategy for modernizing legacy Jenkins infrastructure without disrupting hundreds of engineers.

You are someone who has built developer platforms at scale, understands the full software delivery lifecycle deeply, and knows how to measure and improve developer productivity with rigor and empathy.

What You Will Do:

• Own architecture and roadmap for CI/CD platform, developer environments, and self-service tooling

• Lead the Jenkins modernization strategy — defining migration patterns, shared libraries, and the path to modern CI without big-bang rewrites

• Design and build Kubernetes-native developer environments — ephemeral namespaces, DevSpaces, inner-loop / outer-loop parity

• Build a self-service platform that enables developers to provision environments, run pipelines, and deploy services without platform team intervention

• Define and track developer productivity metrics — DORA metrics, pipeline efficiency, environment provisioning time, developer NPS

• Drive platform reliability — SLOs for CI/CD systems, on-call practices, and incident response for developer tooling

• Mentor senior engineers and set technical direction for the team
  

Must Have:

CI/CD & Release Engineering

• 7+ years hands-on with CI/CD systems — deep expertise in GitHub Actions, GitLab CI, or Tekton at the shared infrastructure level, and Jenkins at scale (shared libraries, distributed agents, plugin management, and migration patterns)

• Experience optimizing pipeline performance — distributed caching, test parallelism, incremental builds, and artifact reuse — and strong understanding of release engineering practices including progressive delivery patterns (feature flags, canary, blue-green, automated rollback)

Kubernetes & Developer Environments

• Deep hands-on with Kubernetes in production — operators, admission webhooks, RBAC, multi-tenancy, and resource management

• Experience with Kubernetes-based developer environments — DevSpaces, Telepresence, vcluster, or ephemeral namespace provisioning — and designing environment parity strategies across dev, staging, and production
  

Developer Self-Service & IDP (Good to have)

• Hands-on experience building or operating Internal Developer Platform — Backstage, Port, or custom self-service portals — with golden path templates and PR-based workflow automation

• Platform-as-a-product mindset — treating developers as customers, defining and tracking productivity metrics (DORA, SPACE), and iterating based on adoption data
  

Cloud & Infrastructure

• Hands-on with at least one of AWS, GCP, or Azure — and experience with multi-cluster Kubernetes management (ArgoCD ApplicationSets, Flux) and cost optimization for CI/CD infrastructure
  

Observability & Legacy Modernization

• Experience building pipeline observability — build trends, flaky test dashboards, deployment frequency, and MTTR — and proven ability to migrate large engineering organizations off Jenkins while keeping existing infrastructure running
  

AI-Augmented Engineering

• Uses AI coding assistants — Claude, Cursor, Copilot — daily for CI/CD scaffolding, script generation, documentation, and productivity bottleneck analysis

• Evaluates and recommends AI-powered developer tools for team adoption; actively uses AI to automate repetitive tasks — flaky test triage, dependency upgrades, lint rules — while applying judgment for security-sensitive or high-blast-radius changes
  

Good to Have

• Familiarity with platform engineering maturity models — measuring and evolving platform capability over time

• Open-source contributions to CI/CD or developer tooling projects.

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 India - Bangalore.

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.