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Sr. Software Engineer- Agentic AI & Digital Experience
Sr. Software Engineer- Agentic AI & Digital ExperienceZscaler • San Jose, CA, United States
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Sr. Software Engineer- Agentic AI & Digital Experience

Sr. Software Engineer- Agentic AI & Digital Experience

Zscaler • San Jose, CA, United States
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  • [job_card.full_time]
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About Zscaler

Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate -we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability.

We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We're looking for an experienced Sr. Software Engineer to join our Digital Experience team. This role is hybrid and based in our San Jose, CA office three days a week. Reporting to the Sr. Director, Software Engineering, you'll be responsible for :

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

What We're Looking for (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)

What Will Make You Stand Out (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)

#LI-Hybrid

#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.

Base Pay Range

$112,000-$160,000 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.

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, or local laws. See more information by clicking on the Know Your Rights : Workplace Discrimination is Illegal () link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Sr Software Engineer • San Jose, CA, United States

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