Sr Staff Engineer – Full Stack Engineer(Contractor)

Palo Alto Networks; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Palo Alto Networks is seeking a Senior Staff Engineer (Full-Stack) on a 12‑month contract to lead end-to-end architecture for security data pipelines and ProdSec dashboards, ingested from varied sources via Google BigQuery and presented through responsive UI.

The ideal candidate has 7+ years of full-stack experience, strong React.js skills, deep GCP proficiency, BigQuery data modeling, SQL optimization, Python scripting, and exposure to GenAI models like Gemini or Claude Opus.

Qualifications

• Education: B.Tech / M.Tech in Computer Science, IT or related field.
• Experience: 7+ years in full-stack development and software architecture.
• UI/UX: Proven React.js expertise for scalable web apps.
• Cloud: Strong GCP proficiency and architecture.
• BigQuery & SQL: Deep knowledge of BigQuery, data modeling, and complex SQL.
• Scripting: Python; Golang desirable.
• GenAI: Exposure to modern AI models (Gemini, Claude Opus).

Responsibilities

• Lead end-to-end full-stack architecture and development of prodsec dashboards.
• Architect data pipelines and analytics in Google BigQuery with optimized SQL.
• Collaborate with security analysts, product managers, and engineers.
• Mentor junior engineers and drive code quality in a fast-paced agile environment.

Skills

React.js

Python

SQL

Golang

GenAI exposure

Education

B.Tech / M.Tech in Computer Science or IT

Tools

Google Cloud Platform (GCP)

Google BigQuery

Job description

This role is a contract assignment at Palo Alto Networks. Contractors will not be employed by Palo Alto Networks but through our trusted staffing partners.

• Duration: 12 Months

Job Title: Sr Staff Engineer – Full Stack Engineer(Contractor)

Data Infrastructure

Job Summary

We are seeking a high-caliber, forward-thinking Senior Staff Engineer (Full-Stack) to join our fast-paced Product Security (ProdSec) team. In this role, you will lead the end-to-end architecture, development, and scaling of critical security data pipelines and dynamic analytics dashboards. Our team is responsible for ingesting massive datasets from various security vectors, aggregating them using Google BigQuery, and building intuitive, high-performance user interfaces that provide real-time visibility into our security posture.

The ideal candidate brings a formidable background in both backend engineering and frontend UI/UX development using React.js. You will possess a deep mastery of the Google Cloud Platform (GCP) ecosystem and an innovative mindset eager to leverage GenAI models. Beyond technical brilliance, we are looking for a collaborative team player with an exceptional attitude and the aptitude to thrive in a rapid, agile environment.

Key Responsibilities

• Full-Stack Architecture & Development: Design, build, and maintain robust backend services alongside highly responsive, intuitive UI/UX components using React.js to power ProdSec dashboards.
• Data Engineering & Analytics: Architect data pipelines to ingest, transform, and aggregate complex security data within Google BigQuery using optimized SQL queries.
• Cross-Functional Collaboration: Act as a core team player, collaborating closely with security analysts, product managers, and engineering peers to rapidly iterate on features.
• Technical Leadership: Mentor junior/mid-level engineers, drive code quality through rigorous UI and backend reviews, and champion a culture of continuous improvement, agility, and technical excellence.

Qualifications

• Education: B.Tech / M.Tech in Computer Science, Information Technology, or a highly related technical field.
• Experience: 7+ years of professional experience explicitly focused on full stack development and software architecture.
• UI/UX Excellence: Proven hands‑on expertise building scalable, high-performance web applications using React.js.
• Cloud Infrastructure: Strong, hands‑on proficiency with Google Cloud Platform (GCP) services and architecture.
• BigQuery & SQL Mastery: Deep expertise in Google BigQuery architecture, data modeling, performance tuning, and writing highly complex, optimized SQL queries for large‑scale datasets.
• Scripting & Development: Hands‑on proficiency in Python for backend scripting and data manipulation; familiarity or exposure to Golang is highly desirable.
• GenAI Exposure: Practical exposure to interacting with modern LLMs/AI models (e.g., Gemini, Anthropic Claude Opus).

Core Soft Skills & Attributes

• Great Attitude & Aptitude: A proactive, self-motivated learner who tackles complex problems with enthusiasm and thrives in a fast-moving environment.
• Exemplary Team Player: Outstanding communication skills with a proven track record of collaborating across teams, sharing knowledge, and fostering a positive, inclusive workspace.