Principal Software Engineer, Infrastructure

Responsibilities

About the team - DeepWisdom builds foundational agent technology to help anyone build and grow a sustainable business efficiently and at low cost. Our core team comes from leading universities and technology companies worldwide. We have raised $31 million from investors including Ant Group, Cathay Capital, Jinqiu Fund, and Concept Fund, leading the field in China by total funding raised. - Our team includes people from Google, ByteDance, Tencent, UC Berkeley, and Carnegie Mellon University with extensive experience in AI agents, code generation, and deploying multi-agent systems. - Our open-source projects, including MetaGPT and OpenManus, have earned nearly 200,000 GitHub stars. Our team has won several international competitions at NeurIPS and KDD Cup, published dozens of papers at venues including ICLR, ICML, and NeurIPS, and earned ICLR oral presentations two years in a row. We are looking for a Principal Engineer to define and deliver world-class AI-native infrastructure for Atoms. You will build the core platform behind the product, including runtimes, sandbox scheduling, cloud infrastructure, observability, and developer experience, so that product and engineering teams can ship quickly, securely, and reliably. What we are looking for - 10+ years in platform engineering, infrastructure, systems engineering, or developer experience. You have led critical platform capabilities from design to production in a senior engineering role and remain deeply hands-on. - Deep experience building and operating production infrastructure, platforms, developer experience, observability, CI/CD, application frameworks, or engineering productivity tools. - Proficiency in at least one systems or backend language such as Go, Rust, or Python. Experience designing high-throughput services at scale and building reliable, usable internal tools that can evolve with a growing engineering team. - Strong knowledge of Docker, Kubernetes, and modern cloud infrastructure, including the principles behind scheduling, runtimes, networking, storage, isolation, and resource management. - Ability to ship systems with demanding performance, security, and reliability requirements and make sound trade-offs among speed, reliability, cost, and security. - Ability to bring clarity to ambiguous work and complex collaboration. Work with low ego and use structured communication and documentation to build agreement and keep teams shipping.

Qualifications

What you will do Build and own the core systems and developer platform that power Atoms and help its engineering teams work efficiently. - Design, build, and maintain infrastructure for agent workloads, including runtimes, sandboxes, resource isolation, and multi-cloud scheduling. - Clarify codebase structure and service boundaries. Integrate or build application frameworks that support growing product and engineering teams. - Build and maintain end-to-end observability across instrumentation, logs, metrics, tracing, alerts, data collection, and visual analysis. - Improve reliability, performance, and fault tolerance to prevent downtime, slow requests, and capacity bottlenecks as the business grows. - Plan and drive networking, cloud resource management, multi-cloud deployment, and cost optimization. - Integrate AI development tools and automation into development, testing, deployment, troubleshooting, and operations. - Identify bottlenecks in engineering productivity and reliability across teams, and lead improvements from diagnosis through implementation.

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