1inch - Tech Lead, Backend
Requirements
• Experience with MCP-based engineering workflows. • Experience building internal AI engineering platforms or developer productivity tooling. • Experience with multiple blockchain ecosystems beyond EVM. • Experience with Terraform, Kubernetes or advanced cloud-native infrastructure. • Cloud, Kubernetes, security or blockchain certifications.
Responsibilities
• Own the technical design and micro-architecture of backend services within your team’s domain. • Lead technical planning, implementation decisions and architecture reviews. • Establish engineering standards, coding practices and backend architecture patterns. • Balance feature delivery with long-term maintainability, reliability and technical debt reduction. • Act as the primary technical quality gate for production changes.Spend approximately 50-80% of your time writing production code in Go and TypeScript. • Design, build and operate scalable, resilient and high-performance backend services across their full lifecycle. • Build backend systems that integrate with smart contracts, blockchain infrastructure and Web3 services. • Design and operate blockchain indexing and data processing systems supporting routing, pricing, execution, portfolio and analytics capabilities. • Lead AI-first engineering practices while mentoring engineers and partnering with Product, Blockchain, Infrastructure, Security and DevOps teams. • You have expert-level experience building backend systems with Go and strong professional experience with TypeScript. • You have deep expertise designing and operating distributed systems, event-driven architectures and cloud-native platforms. • You have strong experience building secure, scalable and highly available production systems. • You have a strong understanding of blockchain infrastructure, smart contracts, blockchain indexing and Web3 backend development. • You have extensive practical experience using Cursor AI or comparable AI-native engineering environments. • You have proven experience applying AI-assisted engineering across architecture, implementation, testing, debugging, documentation and code review. • You have experience designing or scaling agentic software delivery workflows and helping engineering teams adopt AI effectively. • You understand how AI can accelerate software delivery without compromising engineering quality, security or maintainability. • You have excellent system design, communication and technical leadership skills.
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