Staff Software Engineer, Cloud Platform
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Aerospike 是面向关键任务用例和工作负载的实时数据库,包括机器学习、生成式和代理式 AI。Aerospike 以毫秒级延迟支撑每秒数百万次事务,而总拥有成本仅为其他数据库的一小部分。全球领导者,包括 Adobe、Airtel、Barclays、Criteo、DBS Bank、Experian、Grab、HDFC Bank、PayP……
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职位描述 · 原文
Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases. Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. At Aerospike , we dream big and deliver even bigger. Our mission is to unleash the power of the world’s real-time data with a database built for infinite scale, speed, and sustainability . If you're ready to shape the future of data, join us. About the Role We’re growing fast and investing deeply in our Cloud Platform—a multi-cloud, multi-tenant platform that brings the power of Aerospike to customers with maximum simplicity, speed, and scale. We’re looking for a Staff Software Engineer to serve as a technical leader and key architect for our Cloud team. In this role, you will define the architectural vision and drive the execution of our next-generation platform services. Your work will directly shape how global enterprises deploy, manage, and scale Aerospike in the cloud, setting the technical bar for reliability, multi-tenancy, and extreme scale across multi-cloud environments. What You'll Do Define Architectural Strategy: Set the long-term technical vision and multi-cloud strategy for SaaS and control-plane services, ensuring alignment with enterprise-scale customer requirements. Drive Cross-Functional Impact: Partner with Product Management, Security, Infrastructure, and Executive Leadership to translate complex business needs into durable, scalable technical roadmaps. Lead System Design for Scale: Architect high-throughput, multi-tenant control and data planes capable of managing distributed deployments under extreme load and strict SLA requirements. Multiply Engineering Effectiveness: Serve as a force multiplier by mentoring senior engineers, driving technical design reviews, establishing engineering best practices, and raising the overall technical capability of the organization. Pioneer Technical Innovation: Rapidly prototype and evaluate emerging cloud-native technologies, driving architectural evolution across container orchestration, multi-cloud automation, and resilience engineering. Responsibilities Lead end-to-end architecture and system design for complex, large-scale multi-cloud platform services. Collaborate with product leadership and principal architects to define and drive the multi-year Cloud technology roadmap. Author comprehensive RFCs and technical design documents; lead architecture review forums across engineering teams. Debug, profile, and solve complex, cross-cutting distributed systems issues involving networking, data consistency, multi-tenancy, and state management. Establish baseline standards for observability, high availability, security, and operational excellence across platform microservices. Mentor senior and mid-level engineers through code reviews, design guidance, and career development sponsorship. Required Skills Qualifications Experience: 8+ years of hands-on experience building production distributed backend systems, with demonstrated leadership at the Staff or Lead level. Database Distributed Systems Mastery: Distributed Database Expertise: Broad experience deploying and operating production distributed databases and caching tiers (e.g., MongoDB, Redis, PostgreSQL, Cassandra, DynamoDB, or Aerospike ). Data Architecture Trade-offs: Deep understanding of NoSQL vs. Relational models, consistency models (ACID vs. BASE), and caching strategies for high-throughput, low-latency applications. Automated Lifecycle Management: Experience automating database operations at scale, including cluster provisioning, zero
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