Zscaler - Principal GenAI Data Engineer
Requirements
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution. • You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact. • You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action. • You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization. • You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. • Expert-level Python programming and software engineering capabilities • Experience building distributed/scalable data pipelines for AI workloads • Strong understanding of unstructured data extraction and processing pipelines • Experience with vector databases, graph databases, and metadata/knowledge storage systems • Hands-on experience with clustering, entity recognition algorithms, and modern retrieval strategies (including RAG, search, and agentic AI workflows) • Deep understanding of AI-ready data platform design principles and the ability to bridge platform/data engineering with GenAI/LLM application requirements • Experience with LLMOps / GenAIOps frameworks such as LangSmith, Evaluation Framework like Arize Phoenix, Weights & Biases, or MLflow • Familiarity with Agent Frameworks like LangGraph, CrewAI, or Google ADK • #LI-Remote #LI-YC2 • Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. • The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. • $182,000—$260,000 USD • At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. • Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: • Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks, and more! • Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. • By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Responsibilities
• Architect enterprise-scale GenAI data platforms for ingestion, transformation, enrichment, and serving of structured and unstructured data • Design scalable pipelines for enterprise knowledge ingestion from diverse data sources including documents, SaaS platforms, knowledge bases, collaboration tools, and databases • Define architecture for metadata extraction, chunking, enrichment, embeddings generation, and knowledge preparation workflows • Design AI-ready data models and storage strategies for vector, graph, and hybrid knowledge systems • Architect scalable unstructured data processing pipelines for text, images, PDFs, tables, and multimodal content
Benefits
• $182,000—$260,000 USD • At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. • Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: • Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. • By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
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