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Senior IT Software Engineer Bengaluru, Karnataka 01/26/2026

Palo Alto Networks

Senior IT Software Engineer Bengaluru, Karnataka 01/26/2026

Palo Alto Networks

bengaluru

·

On-site

·

Full-time

·

2w ago

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career We are searching for a talented Staff Software Engineer to join the IT Customer Experience Team. You will be responsible for delivering amazing custom-built technology, including microservices for our go-to-market system, which is a key system within the PANW product ecosystem. This role will engage with multiple product and engineering teams and will play a critical role in building great products and improving our engineering best practices. As a Staff Software Engineer, you will work closely with other engineers on the team to consistently deliver high-quality technology products. The ideal candidate will be able to thrive in a fast-paced, dynamic environment and can quickly adapt to new business requirements and quickly learn new technologies Your Impact Build scalable and highly reliable business systems Expert at operating in an agile development environment Determining project requirements and developing work schedules for the team Drive alignment across development teams in a data-oriented and transparent way Balance security debt, product stability, and features against a backdrop of go-to-market pressures and timelines Strong verbal and written communication skills Mentor and challenge engineers to continue to grow in their discipline Design and implement LLM-powered features including conversational AI agents, natural language interfaces, and intelligent automation workflows Build AI orchestration patterns—prompt engineering, context management, and retrieval-augmented generation (RAG) pipelines Develop evaluation frameworks to measure AI system quality and establish observability for LLM-integrated services Qualifications Your Experience 8 years of software development or equivalent experience Microservices architecture (API / Web / DB / Distributed systems) Hands-on Experience in OOPS concepts and Spring 3.x, Spring Dependency Injection (IOC, MVC, JPA, etc.), and Hibernate Back end - Java (Spring Boot, Spring Cloud, Spring Security) Hands-on experience in web services, preferably RESTful APIs Knowledge of RESTful API design patterns Experience building production applications with LLM APIs (Google Vertex AI / Gemini, OpenAI, Anthropic, or similar) Familiarity with vector embeddings, semantic search, and similarity-based retrieval patterns Understanding of prompt engineering best practices and LLM security considerations (input validation, prompt injection prevention) Database - At least one of the following MySQL/PostgreSQL/MSSQL/RDS MongoDB / FireStore / Redshift Google Cloud Spanner (preferred) Platforms At least one of the following - GCP (preferred) / AWS / Azure Experience developing container-based applications Nice to Have Experience with conversational AI, chatbots, or Text-to-SQL systems Knowledge of multi-turn dialogue management and conversation history patterns Background in TypeScript/Node.js for AI agent development Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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About Palo Alto Networks

Palo Alto Networks

Secure the enterprise.

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.2

4 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Better work culture than some competitors

Higher compensation packages

Strong stock performance and growth

Cons

Poor recruiting and hiring process

Offer rescission issues

Lack of communication clarity

Salary Ranges

14 data points

Mid/L4

Mid/L4 · DATA VISUALIZATION ENGINEER

1 reports

$179,361

total / year

Base

$137,970

Stock

-

Bonus

-

$179,361

$179,361

Interview Experience

6 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 17%

Neutral 66%

Negative 17%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

System Design Round

6

Final Interview/Team Matching

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR

Past Experience