Senior Software Engineer (Full Stack)

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.  At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for an experienced Full Stack Software Engineer to join our Bengaluru team and help scale the next generation of our internal data products. In this role, you will build and operate the systems behind data-driven applications that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable services and application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Go, Scala, and ClickHouse, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. What you'll do Design and implement core features across our internal data applications, spanning backend services, data integrations, and application systems. Partner closely with product, data, and engineering stakeholders to shape requirements and design solutions that solve real, high-impact business problems. Build and evolve scalable, reliable, and observable systems that power business-critical products used across the company. Contribute to the ongoing evolution of our data and application platform, improving architecture, performance, and developer experience. Develop and operate services and pipelines in a multi-language environment (including Go, Scala, and ClickHouse-backed systems). Work on modern, AI-enabled components such as vector search, MCP-based services, and AI-powered application features. Participate in design reviews, knowledge sharing, and mentorship, helping raise the technical bar across the team. Examples of desirable skills, knowledge and experience B.S. or M.S. in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience. 6+ years of professional experience building and operating production systems, ideally across backend, data, and application layers. Strong proficiency in one or more systems or backend languages such as Go, Java, or Python, with the ability to quickly learn and contribute across a multi-language stack. Experience designing and working with data-intensive systems, including strong SQL skills and hands-on experience with relational and/or analytical databases (e.g., PostgreSQL, MySQL, ClickHouse). Proven experi