2 months ago
Taipei, TaiwanStaff+
Responsibilities
- Architect, develop, and deploy global-scale distributed platforms and pipelines for massive data ingestion, transformation, and analytical reporting.
- Design and refine backend infrastructure supporting agentic AI workflows, autonomous systems, and conversational analytics with natural-language interfaces.
- Define data strategies and durable conceptual models spanning OLTP, OLAP, and generative AI architectures such as RAG.
- Evaluate data integration challenges and deliver optimized architectural solutions for complex business requirements.
- Research emerging AI techniques and advanced machine learning methodologies to improve data design patterns.
- Provide technical leadership and mentorship focused on data modeling, prompt engineering, and high-performance data access services.
Requirements
- At least 8 years of hands-on experience in enterprise data solution, application, or integration architecture, design, or development.
- Proven experience designing and deploying agentic AI systems and working with AI application frameworks.
- Bachelor's or master's degree in a STEM major.
- Strong algorithms, data structures, and coding skills with Java, Python, or Scala; Python is highly preferred.
- Exceptional SQL proficiency and familiarity with semantic search and natural-language-to-SQL paradigms.
- Experience with relational stores, columnar/NoSQL/vector stores, distributed processing engines, and distributed queues.
- Experience with GCP, Azure, AWS, or similar cloud platform technologies.
- Strong communication, presentation, and interpersonal skills.
- Experience with software engineering practices including unit testing, code reviews, and design documents.
Benefits
- The team is hiring across all levels, with candidates individually assessed and appropriately leveled based on their skills and experience.
- The application window is expected to close within 50 days.
Tech Stack
Apache FlinkApache KafkaApache SparkAWSAzureClickHouseGoogle BigQueryGoogle Cloud PlatformJavaMySQLPostgreSQLPythonScalaSQL
Categories
AI ApplicationsData Engineering
About Netskope
Netskope builds cloud security and networking software for enterprises, bundling CASB, SWG, ZTNA, DLP, and an enterprise browser in the Netskope One Security Service Edge/SASE platform. It sells subscriptions and services to security and networking teams to protect data and manage access across SaaS, web, private apps, and public cloud. Founded in 2012 and headquartered in Santa Clara, California, Netskope says it serves thousands of customers, including dozens of Fortune 100 companies.