zilliz - Solutions Architect, Southeast Asia

• 5+ years of experience in Solutions Architecture, Sales Engineering, Customer Engineering, or a comparable technical customer-facing role. • Strong foundation in distributed systems, databases, and cloud-native architectures, with the ability to understand and troubleshoot complex production environments. • Hands-on technical ability, including working with APIs, writing code or scripts, analyzing logs and metrics, and conducting performance benchmarks. • Experience translating customer requirements into practical technical solutions while balancing performance, reliability, complexity, and cost. • Proven ability to lead technical evaluations or POCs, navigate technical objections, and influence customer decisions. • Strong communication and presentation skills, with the ability to engage both engineering teams and senior technical or business stakeholders. • High ownership, intellectual curiosity, and the ability to work independently in a fast-paced, cross-functional environment. • Strong English communication skills and willingness to travel within Southeast Asia as business needs require. • Experience with vector databases, distributed databases, search technologies, or large-scale data platforms. • Familiarity with RAG, embeddings, AI agents, semantic search, or modern AI/ML application architectures. • Hands-on experience with AWS, GCP, Azure, Kubernetes, or cloud-native infrastructure. • Experience supporting enterprise customers or AI-native startups across Southeast Asia. • Proficiency in an additional Southeast Asian language. • ## How we operate: • Customer outcomes first: We start with the customer's real needs and constraints, then recommend practical architectures that can scale. • Technical depth and sound judgment: We value hands-on problem-solving, evidence-based decisions, and clear reasoning over buzzwords. • Move fast and keep learning: We stay curious, use modern tools including AI, and aren't afraid to dive into code to solve problems. • One team, end-to-end ownership: We collaborate across Sales, Engineering, and Product, share what we learn, and take responsibility for customer outcomes.