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JobsPalo Alto Networks

Sr Staff Site Reliability Engineer

Palo Alto Networks

Sr Staff Site Reliability Engineer

Palo Alto Networks

Tel Aviv, Israel

·

On-site

·

Full-time

·

2w ago

Required Skills

Linux

Unix

Kubernetes

Python

Go

Java

Terraform

Ansible

Cloud platforms

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: As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI

Your Impact:

  • Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
  • Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
  • Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
  • Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
  • Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
  • Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
  • Challenge existing processes by championing reliability, security, and operational maturity across the organization.

Qualifications:

  • Your Experience
  • 5+ years of experience working with Unix/Linux systems, including shell, tools, networking, and kernel concepts.
  • 2+ years of hands-on experience with microservices architectures running on Kubernetes and container platforms.
  • Proven experience operating workloads in public cloud environments (e.g., AWS, GCP, Azure) at scale.
  • Proficiency in building automation and tools in at least one scripting or programming language (e.g., Python, Go, Java).
  • Strong experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
  • Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.

Nice to have:

  • Deep expertise in designing and operating monitoring, alerting, and observability systems (e.g., Prometheus, Grafana, ELK Stack).
  • Advanced networking expertise, including TCP/IP, DNS, BGP, routing, and cloud networking concepts relevant to SASE architectures.
  • Prior experience operating or supporting SASE, SD-WAN, Zero Trust, or network security platforms.
  • Familiarity with using AI/LLM technologies to improve operational workflows (e.g., incident analysis, automation).

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