Software Engineer, Backend

Coinbase
Remote - IndiaPosted 30 March 2026

Job Description

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. About the Team The CXAI Engineering team, part of Coinbase’s Enterprise Applications and Architecture organization, crafts the customer-facing and internal experiences that connect the Help Center, chatbots (CBCB), and agent workflows. We own core web and app chat interfaces and Help Center surfaces, collaborating closely with Conversation Design, CX, and ML/platform teams to deliver secure, compliant, and scalable AI-powered support. Our mission is to enhance the quality, responsiveness, and measurability of automated and agent-assisted experiences—enabling faster customer answers and more effective support resolutions. We’re seeking a highly skilled Backend-Heavy Full Stack Engineer to drive pivotal CXAI initiatives within Help Center and Chat, including chatbot UI revamps, response quality and latency enhancements, and platformization efforts like shared evaluation frameworks for Coinbase and vendor bots. You will own the full lifecycle of features spanning Help Center, Chat, and Agent workflows, with a focus on building reliable, scalable, and AI-enabled products. What you’ll be doing Build and evolve customer support experiences across web surfaces, including Help Center, chat, and agent-facing tools, in close partnership with Product, Design, and cross-functional engineering teams. Define and integrate service APIs and contracts with partner teams, including events/metrics instrumentation, error handling patterns, and multi-locale considerations. Implement modern, accessible, and performant frontend UI components (e.g., rich conversational interfaces, feedback and survey experiences, and stateful workflow screens). Integrate AI/LLM-powered capabilities into user-facing products (e.g., streamed responses, retrieval-backed answers with citations, feedback collection, and safe fallback/guardrail experiences). Deliver end-to-end features from technical design through implementation, testing, launch, and iteration—balancing customer impact, delivery timelines, and long-term maintainability. Improve product quality and performance by investigating bottlenecks, reducing latency, strengthening reliability, and enhancing observability (dashboards, alerts, logging). Contribute to evaluation and measurement workflows by enabling feedback loops and instrumentation that supports quality scoring, experimentation, and iterative improvement of AI experiences. Maintain a high engineering bar through code reviews, automated testing, security-minded development, and ongoing reduction of technical debt across shared systems and workflows. What we look for in you 3+ years of software engineering experience, with a focus on backend development and full stac ... (truncated, view full listing at source)
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