You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful
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. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact
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
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose
Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
10+ years of software engineering experience, with significant expertise in distributed systems, platform engineering, or machine learning infrastructure
Proven experience building, deploying, and operating production-grade AI/ML or LLM systems at scale
Strong expertise in Python and systems languages such as Go, C++, Rust, or Java, alongside hands-on experience with Docker, Kubernetes, and cloud-native deployment patterns
Hands-on experience implementing AI safety, evaluation benchmarks, guardrails, and observability frameworks for LLMs in enterprise environments
Strong experience in RAG systems, vector databases, embedding pipelines, and retrieval tuning
Experience with inference and serving frameworks such as vLLM, Tensor RT-LLM, Triton, Ray Serve, or equivalent
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!
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines