About Zscaler
Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity.
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 champion an “AI Forward, People First” philosophy to help us accelerate and innovate, empowering our people to embrace their 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 to help shape the future of cybersecurity.
Role
We are looking for a Staff AI Platform Engineer to join our IT Enterprise Data & AI Platform Team. This role is based in a hybrid capacity, reporting to the Senior Manager of Enterprise Data Strategy You will help build the world’s largest cloud security platform from the ground up, utilizing your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy. You will be the key architect driving the creation of a scalable and modular AI platform that supports millions of users across 185 countries.
What you’ll do (Role Expectations)
Lead the creation of a scalable and modular AI platform utilizing technologies like Qdrant, Anyscale, and Ray for LLM orchestration, vector search, and multi-agent frameworks
Build essential APIs and infrastructure to enable conversational applications, AI agents, and analytics tools
Execute workflows for Large Language Models including inference pipelines, fine-tuning, caching, and evaluation for both open-weight and hosted models
Deploy AI services on AWS using Kubernetes (EKS), Lambda, and ECS while fine-tuning vector databases and model runtimes for optimized cost and performance
Partner with engineering teams for smooth AI integration, establishing governance standards, and mentoring junior engineers on AI infrastructure development
Who You Are (Success Profile)
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.
What We’re Looking for (Minimum Qualifications)
8+ years of experience in software, data, or ML infrastructure engineering, including 3+ years in AI/ML platform development, with strong Python expertise
Skilled in independently managing complex projects with excellent problem-solving, analytical, and communication abilities
Proficient in AWS, GCP, or Azure, with experience in MLOps tools like MLflow/Kubeflow, CI/CD pipelines, and infrastructure as code (Terraform/CloudFormation)
Expertise in model observability, CI/CD processes, and incident response for AI/ML services
What Will Make You Stand Out (Preferred Qualifications)
Experience in implementing LLM pipelines with frameworks like LangChain, LlamaIndex, or Hugging Face and using vector databases like Qdrant, Pinecone, or Weaviate
Proficient in distributed orchestration frameworks like Anyscale or Ray Serve with expertise in containerized application deployment using Docker, Kubernetes, and Helm charts
Strong knowledge of LLMOps patterns, including model registry, prompt versioning, and feedback loops
#LI-Hybrid #LI-NT1
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.
Top Skills
Zscaler Mumbai, Maharashtra, IND Office
Kaledonia, 1st Floor, Sahar Rd, Andheri East, Mumbai, Maharashtra, India, 400069
