Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Palo Alto Networks

Sr Staff Engineer Software (Platform)

Palo Alto Networks

Published 22 Dec 2025
Santa Clara, CA, USA
155K - 190K USD Annual
Full Time

Share this job

Role Highlights

Languages used

Python
JavaScript
GO

Key skills

Generative AI
Prompt Engineering
Computer Science
Integrations
API
CICD
Data Structures
IAC
System Design
Staff Engineer
Security
Optimization
Infrastructure
Testing
Deployment
Machine Learning
TroubleShooting
Reliability
Database
Devops
Cloud
Debugging
Logging

Tools, Libraries and Frameworks

Docker
Kubernetes
PostGres
Unix
Linux
GCP
AWS
Azure
Terraform
Prometheus
Grafana
GitLab
BitBucket
Jenkins
Django

Description

Palo Alto Networks Sr Staff Engineer Software (Platform) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Sr Staff Engineer Software (Platform) Full-time Department: Engineering Job Country: United States of America Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and were looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We are seeking a highly skilled and experienced Sr Staff Engineer to join our Engineering Productivity/Platform team that can challenge the status quo, thrive in an evolving and fast-paced environment to find creative, efficient and high quality solutions to complex problems. We expect you to take healthy risks as you collaborate with engineering teams across the company to empower them in developing and delivering their products with the highest quality and velocity while ensuring security throughout the lifecycle. As a Sr Staff Engineer on the Engineering Productivity/Platform team, you will be instrumental in elevating the innovation within the team as we champion a world-class engineering culture across the company. You will tremendously impact thousands of engineers and drive initiatives in source code management, build and test tooling, end-to-end CI/CD pipeline workflows while automating everything (well, everything that matters and should be automated). We are looking for a self-motivated and passionate engineer with an extensive engineering development background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. The way this engineer will deliver impact may vary depending on the situation but they will be expected to deliver complete solutions to existing problems from ideation to production and effectively communicate with stakeholders. Your Impact Set the example for high levels of accountability Execute and deliver impact both individually and through the team Tools Development and Optimization: - Implement the infrastructure, tools and frameworks needed to keep our thousands of developers in sync while sharing code, building, testing, releasing, and deploying their applications and services continuously - Design, build and maintain tools and frameworks to automate the commit-deploy pipeline (including development, testing, release/deployment and monitoring) of our products and services CI/CD Pipeline Development: - Design, develop, and maintain comprehensive CI/CD templates for use across various engineering teams - Simplify and increase visibility into the CI pipelines and enable easier and faster insights into potential problems AI-first approach: - A working knowledge of foundational AI/ML concepts and experience leveraging relevant AI tools, libraries, or APIs to enhance engineering workflows - A proven ability or keen interest in applying Generative AI and other intelligent technologies to optimize developer processes - An ability to understand and utilize relevant engineering data to identify opportunities for AI/ML integration that drives measurable improvements in developer efficiency and output quality Performance Monitoring and Troubleshooting: - Monitor the performance and health of the engineering productivity tools - Troubleshoot and resolve issues promptly to minimize downtime and impact on developer productivity Continuous Improvement : - Identify opportunities for automating repetitive tasks, improving workflows, and enhancing overall developer productivity - Stay updated with industry trends and emerging technologies to implement innovative solutions Qualifications Your Experience As a key member of this team, you will be responsible for driving the technical design and implementation of core features, ensuring high code quality and reliability in our systems. Proficiency in object-oriented programming languages such as Python, Javascript, Go (Nice to have) Experience with web frameworks such as Django, NodeJS, React Knowledge of containerization technologies (Docker, Kubernetes) Proficiency in algorithms, data structures, Relational DB (Postgres), and system design Understanding of Unix/Linux, SSH, and networking fundamentals 6+ years of experience in software engineering, DevOps, or related fields Experience with cloud platforms (GCP, AWS and Azure) Excellent problem-solving skills and the ability to troubleshoot complex issues Experience debugging CI build pipelines for any issues Knowledge of infrastructure as code (IaC) and config mgmt tools like Terraform and ansible Familiarity with monitoring and logging tools (Prometheus, Grafana) Strong communication skills and the ability to work collaboratively across teams Bachelors or Masters degree in Computer Science, Engineering, or a related field or equivalent military experience Good to have Hands-on experience with GitLab/Bitbucket, Jenkins, and Artifactory in complex environments Previous experience in a cybersecurity or high-tech environment Experience with AI tools and infrastructure for developer productivity Additional Information The Team Our engineering team is at the core of our products connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we, and the industry, think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between:: $155,000 - $190,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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  . 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?: Yes I'm interested I'm interested ImprintCookies Settings I'm interested Posted by Susan Merrow share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=Palo%20Alto%20Networks%20is%20looking%20for%3A%20Sr%20Staff%20Engineer%20Software%20(Platform)%20in%20Santa%20Clara%2C%20CA.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FPaloAltoNetworks2%2F744000100107755-sr-staff-engineer-software-platform-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FPaloAltoNetworks2%2F744000100107755-sr-staff-engineer-software-platform-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FPaloAltoNetworks2%2F744000100107755-sr-staff-engineer-software-platform-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=Palo%20Alto%20Networks%20is%20looking%20for%3A%20Sr%20Staff%20Engineer%20Software%20(Platform)%20in%20Santa%20Clara%2C%20CA.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FPaloAltoNetworks2%2F744000100107755-sr-staff-engineer-software-platform- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Sr Staff Engineer Software (Platform) Santa Clara, CA Full-time I'm interested I'm interested

Required Qualifications and Skills

The role requires at least six years of experience in software engineering, DevOps, or related fields. Proficiency in object-oriented programming languages such as Python, Javascript, and Go is expected, along with experience in web frameworks like Django, NodeJS, and React. Knowledge of containerization technologies such as Docker and Kubernetes, along with expertise in algorithms, data structures, relational databases (Postgres), and system design, is necessary. A strong understanding of Unix/Linux, SSH, and networking fundamentals is also required. Experience with cloud platforms like GCP, AWS, and Azure, along with infrastructure as code and configuration management tools like Terraform and Ansible, is important. Familiarity with monitoring and logging tools such as Prometheus and Grafana is beneficial. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent military experience, is required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Palo Alto Networks

Size

14705

Founded

HQ

SANTA CLARA, US

Public/Private

Public Company

Description

Palo Alto Networks, the global cybersecurity leader, is shaping the cloud-centric future with technology that is transforming the way people and organizations operate. Our mission is to be the cybersecurity partner of choice, protecting our digital way of life. We help address the world's greatest security challenges with continuous innovation that seizes the latest breakthroughs in artificial intelligence, analytics, automation, and orchestration. By delivering an integrated platform and empowering a growing ecosystem of partners, we are at the forefront of protecting tens of thousands of organizations across clouds, networks, and mobile devices. Our vision is a world where each day is safer and more secure than the one before. For more information, visit www.paloaltonetworks.com.

Share

Share this job

Related jobs

Data Lakes
Computer Science
Integrations
API
Santa Clara, CA, USA
Full Time
Palo Alto Networks

AI Financial Analyst

Palo Alto Networks

Scikit-learn
AI
Data Governance
Machine Learning
Santa Clara, CA, USA
Full Time
Internship
Integrations
Product Management
CICD
Distributed Systems
Santa Clara, CA, USA
Full Time