Sr. Software Development Engineer – Java/ Agentic AI/ Big Data at Zscaler

Full Time
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Zscaler

Job opening

Sr. Software Development Engineer – Java/ Agentic AI/ Big Data at Zscaler

Zscaler is hiring a Sr. Software Development Engineer – Java/ Agentic AI/ Big Data in Bangalore, IND. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.

1. Job details

Company
Zscaler
Role
Sr. Software Development Engineer – Java/ Agentic AI/ Big Data
Location
Bangalore, IND
Salary / CTC
Not disclosed by employer
Experience
See the job description
How to apply
On the employer’s site

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2. Job description from Zscaler

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 Senior Software Engineer in Data + AI within the ZDX Engineering team, you will design and develop our high-throughput ZDX data platform using an AI-first approach to analyze massive volumes of network data in near real time. You will solve complex business and security challenges by detecting anomalies, identifying threat patterns, and delivering actionable intelligence. In this role, you will architect and orchestrate autonomous, multi-agent systems—partnering closely with data architects, product management, and engineering stakeholders to build the next generation of intelligent, automated data solutions.

What you’ll do (Role Expectations)

  • Architect and scale distributed data pipelines supporting high-throughput ingestion, feature engineering, and real-time data serving from Big Data platforms
  • Design, build, and orchestrate Agentic AI systems, including multi-agent workflows, tool integrations, state management, observability, and real-time agent serving
  • Partner cross-functionally with data architects, product management, and engineering to automate complex analytics, anomaly detection, and threat triage
  • Lead the technical implementation, debugging, and end-to-end monitoring rollout plans for resilient, production-grade agentic frameworks

Who You Are (Success Profile)

  • You thrive in ambiguity and view uncharted challenges as opportunities to build meaningful, scalable platform architecture.
  • You operate with true ownership, balancing high-level strategic planning with deep, hands-on technical execution.
  • You run toward complex problems with a bias for action, delivering measurable impact across data and AI systems.
  • You are a high-trust partner who practices transparent communication, constructive candor, and shared accountability to elevate team performance.
  • You embody a continuous learning mindset, proactively incorporating emerging AI frameworks, architectures, and engineering best practices.

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
  • 3+ years of hands-on software engineering experience in Java and Spring Boot within large-scale, data-intensive environments
  • Hands-on experience with Redis caching, partition-aware query patterns, and high-performance querying on platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery
  • Proven experience building and operating LLM- or agent-based architectures, including multi-agent orchestration, agent-to-agent communication, and autonomous decision-making workflows
  • Deep expertise in distributed systems architecture and major public cloud platforms including Azure, GCP, or AWS

What Will Make You Stand Out (Preferred Qualifications)

  • Experience designing and optimizing autonomous AI agents with advanced reasoning, planning, and tool-use capabilities to automate complex network analytics and threat triage
  • Proven track record of designing, building, and shipping production applications processing billions of events across big data, AI, and distributed systems
  • Hands-on experience with advanced frameworks like LangGraph, multi-agent systems, prompt engineering, and state-of-the-art agent orchestration patterns

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 .

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.

Read the full description on the employer’s site →

3. Skills that usually matter in data and AI roles

General guidance from TechJobs360, not part of Zscaler’s posting. The job description above is what counts for this role.

AreaWhat to be comfortable with
LanguagesPython, SQL, Scala
Frameworks & toolsSpark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse
Computer science basicsData structures, algorithms, complexity
Ways of workingVersion control, code review, testing, reading other people's code

4. How to prepare for a Sr. Software Development Engineer – Java/ Agentic AI/ Big Data interview

Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:

Screening

A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.

Technical round

Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.

Practical or design round

Often design and trade-off questions sized to the role: an API, a component, or a small system.

Manager and behavioural round

Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.

5. Take-home pay example (FY 2026–27, new tax regime)

An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.

ComponentExample: ₹12 LPAExample: ₹24 LPA
Basic salary (40% of CTC)₹40,000 / mo₹80,000 / mo
Employee EPF (12% of basic)-₹4,800 / mo-₹9,600 / mo
Income tax (TDS)-₹6,933 / mo-₹32,450 / mo
Professional tax-₹200 / mo-₹200 / mo
Approx. in-hand₹81,344 / mo₹1,44,304 / mo

Work out the take-home pay for your own offer, in either tax regime.

Open the salary calculator →

6. Questions and how to apply

How do I apply?

Use the apply button below. It opens Zscaler’s own application page.

Does TechJobs360 recruit for this job or charge a fee?

No. We list openings from employers’ career sites. Zscaler runs the hiring, and nobody should ask you to pay to apply.

Is this job still open?

We check listings against the employer’s page every day and take down jobs that have closed.

Should I apply if I don’t match every requirement?

Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.

Apply for Sr. Software Development Engineer – Java/ Agentic AI/ Big Data at Zscaler

Apply on the employer’s site →

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Sr. Software Development Engineer – Java/ Agentic AI/ Big Data at Zscaler
Zscaler · Bangalore, IND
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