4 hours ago
Base Salary
$180k - $225k/yr
Responsibilities
- Architect and scale enterprise AI platform capabilities such as model gateways, intelligent routing, cost governance, LLM observability, evaluation pipelines, and long-term agent memory.
- Direct technical execution for AI solutions and support, including platform administration, intelligent search, and scalable L2 operational support.
- Lead distributed engineering teams across the US and India, align roadmaps, conduct technical reviews, and coordinate work across time zones.
- Oversee hands-on development, production AI quality gates, regression suites, latency optimization, cost optimization, and deployment pipelines.
- Partner with Security, Legal, Privacy, and enterprise stakeholders to deliver compliant and secure AI capabilities.
- Operate production enterprise services through incident response, on-call management, runbooks, and SLA governance.
Requirements
- 8+ years of professional software engineering experience.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- 3+ years of technical leadership experience guiding distributed engineering teams and external contractors across multiple time zones.
- Hands-on experience building and deploying production-grade AI/LLM applications with prompt engineering, RAG, agents, function calling/MCP, and model evaluation or observability frameworks.
- Full-stack development proficiency with Python, TypeScript/Node.js or Java/Go, React, and robust API design.
- Hands-on experience with cloud and containerized infrastructure, including AWS or GCP/Azure, Docker, Kubernetes, and automated deployment pipelines.
- Experience operating production enterprise services, including incident response, on-call management, runbook development, and SLA governance.
- Preferred experience administering OpenAI, Anthropic Claude, Amazon Bedrock, or Google Vertex AI platforms with cost governance, security controls, and usage optimization.
- Preferred experience with vector and graph database solutions, semantic caching, long-term agent memory, conversational bots, enterprise search, Slack integrations, model fine-tuning, open-weight model serving, or FedRAMP-related compliance.
Benefits
- Three-day hybrid schedule based out of the Santa Clara, California office.
- Various health plans, vacation and sick time, parental leave options, retirement options, education reimbursement, and in-office perks.
- Base salary range of $180,000–$225,000 USD, excluding commission, bonus, equity, and benefits.
Categories
About Zscaler
Zscaler builds a cloud-delivered zero trust security platform that replaces traditional network security appliances for enterprises and public-sector organizations. Its Zero Trust Exchange provides secure web gateway, zero trust access, CASB, and cloud firewall services, sold as subscriptions and delivered across 160+ global data centers. Founded in 2007 and headquartered in San Jose, it is a public company on NASDAQ (ZS) serving thousands of customers worldwide.