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Sr Staff Engineer Software (AI Runtime Security)

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 we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Your Career

We are looking for an exceptional Senior Staff Software Engineer to enhance our AI Runtime Security team. This role is central to our mission, focusing on the development and optimization of backend services, with a keen eye for scalability, reliability, and performance. The ideal candidate will possess a deep understanding of cloud computing, particularly within the Google Cloud Platform (GCP), and have a proactive approach to exploring new AI infrastructures to elevate our model serving capabilities.

Your Impact

  • Develop scalable, reliable and efficient cloud services for AI Runtime Security
  • Explore and integrate new AI technologies and infrastructures to advance our model serving capabilities 
  • Lead the design and implementation of standard workflows for performance monitoring and testing
  • Work with PLM on new feature requirement
  • Collaborate with cross-functional teams to address complex technical challenges and drive innovation
  • Ensure the adoption of best practices in code quality, scalability and system design among team members

Qualifications

Your Experience 

  • BS/MS in Computer Science or Computer Engineering or equivalent military experience required
  • Strong proficiency in GoLang, Python or Java
  • Solid knowledge and skills on Linux, Kubernetes and Docker
  • Expert knowledge in GCP and its suite of managed services
  • Solid knowledge of web servers/proxies such as NGINX, Envoy
  • 5+ years of working experience on data infrastructure platforms
  • Strong microservice development experience
  • Comprehensive experience with SQL and No-SQL DB technologies such as MySQL, Redis
  • Solid understanding of system design, scalability, optimization and performance metrics
  • Exceptional problem solving skills and the ability to work in a fast-paced environment
  • Excellent communication and can be team player
  • Experience with AI infrastructure and technologies related to model serving is a big plus

Additional Information

The Team

We are on a mission to build the industry's best Security large language model.

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 don’t 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 $126000 - $204500/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

We’re problem solvers that 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  [email protected].

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

Average salary estimate

$165250 / YEARLY (est.)
min
max
$126000K
$204500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr Staff Engineer Software (AI Runtime Security), Palo Alto Networks

At Palo Alto Networks, we’re on a mission to revolutionize cybersecurity, and we're searching for a Senior Staff Software Engineer to join our AI Runtime Security team in Santa Clara, CA. Imagine being a key player in developing robust backend services that not only enhance security but also optimize them for scalability and reliability. In this role, you'll dive deep into cloud computing with a strong emphasis on Google Cloud Platform (GCP) while exploring innovative AI infrastructures to supercharge our model serving capabilities. We’re not just looking for a coder; we're searching for a problem solver who thrives in a dynamic environment and gets excited about tackling complex technical challenges. With your expertise in GoLang, Python, or Java, you’ll collaborate with cross-functional teams and lead the design of efficient workflows for performance monitoring and testing. Your strong knowledge of microservices, containerization with Kubernetes and Docker, and familiarity with web servers like NGINX will make you a valuable asset. At Palo Alto Networks, every team member is empowered, and we ensure a supportive atmosphere where your unique contributions help shape the future of cybersecurity. We provide our employees with exceptional benefits and a flexible working arrangement that fosters creativity and teamwork. If you’re ready to take your career to the next level while making a significant impact, we'd love to hear from you!

Frequently Asked Questions (FAQs) for Sr Staff Engineer Software (AI Runtime Security) Role at Palo Alto Networks
What are the responsibilities of a Senior Staff Engineer Software at Palo Alto Networks?

As a Senior Staff Engineer Software at Palo Alto Networks, your main responsibilities will include developing and optimizing scalable, reliable cloud services focused on AI Runtime Security. You'll explore and integrate new AI technologies, lead the design of workflows for performance testing, and collaborate with cross-functional teams to solve complex technical challenges. Additionally, you'll ensure best practices in code quality and system design are followed by your team.

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What qualifications are needed for the Senior Staff Engineer Software position at Palo Alto Networks?

To qualify for the Senior Staff Engineer Software role at Palo Alto Networks, candidates typically need a BS/MS in Computer Science or Computer Engineering, or equivalent experience. Solid proficiency in programming languages like GoLang, Python, or Java, and knowledge of cloud technologies, especially Google Cloud Platform (GCP), Linux, Kubernetes, and Docker, are crucial. Additionally, experience with data infrastructure platforms and microservice development is expected.

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What is the work environment like for a Senior Staff Engineer Software at Palo Alto Networks?

The work environment for a Senior Staff Engineer Software at Palo Alto Networks is dynamic and collaborative. The company values in-person interactions and promotes a culture where creativity thrives through teamwork and casual problem-solving discussions. You’ll have access to ongoing learning opportunities and a flexible working arrangement designed to support each employee's individual growth and wellbeing.

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How can a candidate demonstrate their suitability for the Senior Staff Engineer Software role at Palo Alto Networks?

Candidates can demonstrate their suitability for the Senior Staff Engineer Software position at Palo Alto Networks by showcasing their hands-on experience with relevant technologies, successful project examples involving cloud services and AI, and strong problem-solving skills during interviews. Highlighting collaboration in team settings and adaptability in fast-paced environments can also positively influence the decision.

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What is the compensation range for the Senior Staff Engineer Software position at Palo Alto Networks?

The compensation range for the Senior Staff Engineer Software position at Palo Alto Networks is generally between $126,000 and $204,500 per year, depending on qualifications, experience, and location. Candidates may also receive restricted stock units and bonuses as part of their compensation package, along with a comprehensive benefits program.

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Common Interview Questions for Sr Staff Engineer Software (AI Runtime Security)
What motivated you to apply for the Senior Staff Engineer Software position at Palo Alto Networks?

Your answer should convey genuine enthusiasm for Palo Alto Networks’ mission and innovation in cybersecurity. Share specific reasons such as the company culture, the chance to work with cutting-edge AI technologies, or the opportunity to impact digital security, which aligns with your career goals and values.

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Can you describe your experience with cloud computing, particularly GCP?

It's essential to be specific about your hands-on experiences with GCP. Illustrate past projects where you utilized GCP’s services, how you managed resources, and your approach to optimizing performance and scalability. Sharing challenges faced and how you overcame them will further strengthen your answer.

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How do you ensure code quality in your projects?

Explain your methods for maintaining code quality, including code reviews, automated testing, adherence to coding standards, and using continuous integration practices. Mention specific tools you’ve used and emphasize your commitment to code reliability and scalability.

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Describe a time when you faced a significant technical challenge and how you resolved it.

Choose a relevant example that showcases your problem-solving skills. Detail the challenge, your thought process in approaching the problem, the solution you implemented, and the positive outcome. This illustrates your ability to work under pressure and innovate.

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What strategies do you use for performance monitoring and testing?

Discuss the frameworks and tools you've used for monitoring and testing application performance. Highlight the importance of metrics, your approach to data collection, and how you use this information to optimize system performance.

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How do you approach working in a cross-functional team?

Emphasize your communication skills and ability to collaborate effectively within diverse teams. Provide examples of past experiences where you worked across departments to achieve project goals, focusing on your contributions to fostering a positive team dynamic.

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What is your experience with microservices architecture?

Discuss your familiarity with microservices architecture, including its advantages and challenges. Provide specific examples of projects where you've designed or implemented microservices, focusing on how you ensured scalability and reliability.

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What do you understand by AI infrastructures related to model serving?

Demonstrate your understanding of AI infrastructures—elaborate on the technologies and methodologies you’ve worked with, and discuss how they impact model serving efficiency and performance. Bring attention to any specific tools or frameworks you've used.

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How do you keep up with the latest trends in cybersecurity and software engineering?

Describe your commitment to continuous learning, such as attending workshops, engaging in online courses, reading industry publications, and participating in forums. Highlight any relevant certifications or community involvement that showcases your passion.

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Can you explain your understanding of containerization and its benefits?

Provide a brief overview of containerization technologies like Docker and Kubernetes, emphasizing how they enable consistent environments for development and production. Touch on benefits like scalability, rapid deployment, and improved resource utilization.

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Being the cybersecurity partner of choice, protecting our digital way of life.

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Full-time, on-site
DATE POSTED
January 3, 2025

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