Senior Software Development Engineer

Zscaler, Inc.; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Health plans

Time off—vacation/sick leave

Parental leave options

Retirement options

Education reimbursement

In-office perks

Job summary

Zscaler, Inc. in Bengaluru seeks a hands-on Senior AI Engineer to design, build, test, and operate production AI applications used by employees and customers worldwide.

You will own end-to-end projects, specializing in agents, retrieval systems, or AI business solutions and platform support. You will collaborate with a US-based lead and distributed teams, enabling scalable AI capabilities while ensuring robust testing, security, and operational excellence.

Qualifications

• Foundational understanding of AI/ML technologies and experience leveraging AI-driven solutions.
• 5+ years of software engineering experience, including 2+ years building applications with LLMs or ML services.
• Strong Python skills and solid API/service design.
• Hands-on experience with prompt design, RAG, and function calling/agent frameworks.
• Experience evaluating AI systems using tests, regression checks, tracing.
• Cloud familiarity (AWS, GCP, or Azure), Docker, CI/CD, production debugging.

Responsibilities

• Design and build production-grade AI services, APIs, and retrieval pipelines in Python.
• Lead scoped AI projects from design to launch and translate business requirements into tasks.
• Incorporate tests, tracing, and cost/latency metrics for reliability.
• Collaborate with global teams, share status, review code, and mentor juniors.
• Provide L2 support for AI applications and automate to reduce incidents.

Skills

AI/ML fundamentals

Python

Communication

Global collaboration

English proficiency

Education

Bachelor’s or Master’s in CS/Engineering

Equivalent experience

Tools

Docker

CI/CD

Cloud platforms (AWS/GCP/Azure)

Retrieval-augmented generation (RAG)

OpenAI/Claude/Bedrock

Job description

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.

We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.

Role

As a hands-on Senior AI Engineer within Zscaler's IT AI/ML Engineering team in India, you will design, build, test, and operate production-grade AI applications used by employees and customers globally. Collaborating daily with a US-based technical lead and distributed teammates, you will own well-scoped projects end-to-end, specializing either in agents and retrieval systems or AI business solutions and platform support.

What You’ll Do (Role Expectations)

• Design and build production-grade AI services, APIs, and retrieval pipelines in Python with clean, tested, and well-documented code.
• Lead scoped AI projects from design to launch, breaking down ambiguous business requirements into clear technical tasks.
• Integrate test sets, regression checks, tracing, and cost/latency tracking into every feature to ensure system reliability.
• Partner closely with global, cross-functional teams, share status transparently, review code, and mentor junior engineers.
• Provide L2 support for AI applications, administer enterprise AI platforms, write runbooks, and build automation to reduce repeat issues.

Who You Are (Success Profile)

• You take pride in owning a technical project from initial design and prototyping all the way to production monitoring and support.
• You are dedicated to clean code, robust testing, data-handling security practices, and raising the collective standards of your team.
• You enjoy running structured experiments with models, prompts, and retrieval strategies to turn results into clear, actionable recommendations.
• You thrive in global environments, communicating technical concepts clearly in English and working seamlessly across time zones.
• You excel at translating complex business problems into reliable, automated AI workflows and user-friendly experiences.

What We’re Looking For (Minimum Qualifications)

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 5+ years of software engineering experience, including 2+ years of hands‑on experience building applications with LLMs or ML services.
• Bachelor’s or Master’s degree in Computer Science/Engineering (or equivalent experience) with strong Python skills and solid API/service design.
• Hands‑on experience with prompt design, Retrieval‑Augmented Generation (RAG), and function calling or agent frameworks.
• Experience evaluating AI systems using test sets, regression checks, and tracing or monitoring tools.
• Working knowledge of cloud (AWS, GCP, or Azure), Docker, CI/CD, and experience debugging and supporting production services.

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to leverage AI technologies and workflows to drive operational efficiency, backed by exposure to how AI agents or models are built
• Experience with vector/graph databases, embeddings, rerankers, model serving, fine‑tuning, or open‑weight models.
• Familiarity with Model Context Protocol (MCP), tool‑integration standards, and agent memory/context management.
• Experience administering enterprise AI platforms (e.g., Claude, OpenAI, Bedrock) or building custom Slack bots and web widgets.
• Proven experience running technical workshops, writing runbooks, or contributing to the community via open‑source, publications, or talks.

#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 hybrid working model and benefits here (https://www.zscaler.com/candidate-resource-hub) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) 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.