Zscaler
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Sahibzada Ajit Singh Nagar · Hybrid · 1-3 Yrs · 5 days ago
Enterprise Software & Network Solutions · 5001 to 10000 Employees · San Jose, US
Zscaler enables the world’s leading organizations to securely transform their networks and applications for a mobile and cloud first world. Our flagship services, Zscaler Internet Access and Zscaler Private Access, create fast, secure connections between users and applications, regardless of device, location, or network. Zscaler services are 100% cloud-delivered and offer the simplicity, enhanced security, and improved user experience that traditional appliances are unable to match. Used in more than 185 countries, Zscaler operates the world’s largest cloud security platform, protecting thousands of enterprises and government agencies from cyberattacks and data loss. We are delighted to announce that Zscaler is now a publicly traded company listed on Nasdaq (ZS). Learn more at zscaler.com or follow us on Twitter @zscaler.
Hiring: Engineering
What employees say
+ Work from home Salary and benefits
− The recent management changes have significantly impacted the company culture. Previously, team members collaborated closely and supported one another. Now, the atmosphere feels dr
More reviews on the company profile.
Interview experience · Software Engineer
4 rounds Started with backend then frontend and a round for gen ai and then a round with senior director Questions were basically and not hard but seems more like ghost hiring and no proper feedback on why I was rejected
Average difficulty · India · 339 reports
More interview insightsJob description
Overview
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure.
Responsibilities
- Architect, build, and own the production-grade AI Platform supporting multiple Finance modules, executive dashboards, and interactive workflows
- Implement enterprise-grade security, Okta SSO, RBAC mapping, and clean backend API service boundaries for seamless extensibility
- Manage governed data-serving pipelines, schema design, and caching strategies (API query and semantic caching) to ensure high performance and data fallback reliability
- Integrate AI assistants via internal LLM gateways and build modular skills & services grounded in Finance context
- Drive CI/CD release automation via GitLab pipelines while maintaining end-to-end production operations, monitoring, incident response, and system reliability
Qualifications
- You are a pragmatic builder with a passion for creating, iterating, and shipping scalable tools that deliver immediate value to users.
- You are driven by technical innovation and energized by leveraging modern AI technologies to solve complex platform challenges.
- You are an active problem-solver who enjoys navigating complex data environments to build reliable, high-impact solutions.
- You act like an owner by balancing strategic architectural vision with hands-on technical execution.
- You are a high-trust collaborator who builds strong cross-functional partnerships and communicates complex technical concepts with clarity.
- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
- 5–8 years building and operating production systems across data, backend, and platform engineering
- Strong Python (FastAPI/services, pipelines) and SQL (Snowflake/PostgreSQL) expertise
- Strong AWS fundamentals (VPC/IAM/EC2, security basics) and experience with CI/CD deployment pipelines
- Hands-on experience with LLM integrations, including OpenAI-compatible APIs, RAG architectures, semantic caching, and prompt/context management
- Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
- Expertise with Snowflake and dbt modeling, standards, testing, CI/CD, Redis caching patterns, and observability best practices
- Proven track record building internal data applications with React or Streamlit
Education
- In-office perks, and more!
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
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Job application FAQ
Last updated 29 October 2026
- How do I apply for Deputy Manager, AI & Platform Engineer at Zscaler?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Zscaler may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Deputy Manager, AI & Platform Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Deputy Manager, AI & Platform Engineer remote or on-site in Sahibzada Ajit Singh Nagar, Punjab?
- This listing is marked hybrid with location Sahibzada Ajit Singh Nagar, Punjab. Confirm details on the job description before applying.
- What skills matter for this Deputy Manager, AI & Platform Engineer role at Zscaler?
- This is a mid-level Deputy Manager, AI & Platform Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.