Zscaler
Sr. Software Engineer- Agentic AI & Digital Experience
Zscaler, San Jose, California, United States, 95199
Sr. Software Engineer- Agentic AI & Digital Experience
San Jose, California, USA
About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI‑powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast‑paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.
Responsibilities
Build agentic AI features: implement tool‑use workflows (planning, memory, context), retrieval/RAG, and evaluators; harden for scale and reliability
Ship resilient services: design and operate microservices, data/feature pipelines, and low‑latency inference paths with solid observability
Operate with excellence: add tests, monitors, tracing, dashboards; participate in on‑call with an automation‑first mindset
Minimum Qualifications
BS in CS (or related) with 4+ years experience, or MS with 2+ years, delivering ML/GenAI features to production
Exceptional problem‑solving skills driven by first‑principles thinking, applying expertise in programming, data, and machine learning
Proven experience in the full ML model lifecycle—building, deployment, monitoring, and optimization
Hands‑on experience with modern GenAI stacks (e.g., LangChain/LangGraph, CrewAI, vector stores, RAG, prompts/memory, evaluators)
Solid distributed systems fundamentals (APIs, queues, caching, concurrency) and cloud experience (Docker/Kubernetes, CI/CD; AWS/GCP/Azure)
Preferred Qualifications
Prior delivery of agentic/LLM systems in production, including context engineering and memory management strategies
Experience fine‑tuning and serving LLMs/SLMs at scale (latency, cost, safety, evals)
Salary Base Pay Range: $112,000 - $160,000 USD
Benefits
Time off plans for vacation and sick time
Parental leave options
Retirement options
In‑office perks, and more!
Equal Employment Opportunity By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristic protected by federal, state, and local laws.
Pay Transparency: Zscaler complies with all applicable federal, state, and local pay transparency rules.
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About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI‑powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast‑paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.
Responsibilities
Build agentic AI features: implement tool‑use workflows (planning, memory, context), retrieval/RAG, and evaluators; harden for scale and reliability
Ship resilient services: design and operate microservices, data/feature pipelines, and low‑latency inference paths with solid observability
Operate with excellence: add tests, monitors, tracing, dashboards; participate in on‑call with an automation‑first mindset
Minimum Qualifications
BS in CS (or related) with 4+ years experience, or MS with 2+ years, delivering ML/GenAI features to production
Exceptional problem‑solving skills driven by first‑principles thinking, applying expertise in programming, data, and machine learning
Proven experience in the full ML model lifecycle—building, deployment, monitoring, and optimization
Hands‑on experience with modern GenAI stacks (e.g., LangChain/LangGraph, CrewAI, vector stores, RAG, prompts/memory, evaluators)
Solid distributed systems fundamentals (APIs, queues, caching, concurrency) and cloud experience (Docker/Kubernetes, CI/CD; AWS/GCP/Azure)
Preferred Qualifications
Prior delivery of agentic/LLM systems in production, including context engineering and memory management strategies
Experience fine‑tuning and serving LLMs/SLMs at scale (latency, cost, safety, evals)
Salary Base Pay Range: $112,000 - $160,000 USD
Benefits
Time off plans for vacation and sick time
Parental leave options
Retirement options
In‑office perks, and more!
Equal Employment Opportunity By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristic protected by federal, state, and local laws.
Pay Transparency: Zscaler complies with all applicable federal, state, and local pay transparency rules.
#J-18808-Ljbffr