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Senior DevOps Engineer (Cortex Research)

Palo Alto Networks

Senior DevOps Engineer (Cortex Research)

Palo Alto Networks

Tel Aviv, Israel

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Mental Health

Flexible Hours

Healthcare

401k

Equity

Learning

Mental Health

Flexible Hours

Required Skills

DevOps

Infrastructure-as-code

CI/CD

Cloud infrastructure

Terraform

Ansible

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 Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the group's cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. You'll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.

  • Key Responsibilities
  • Own and evolve the Research Group's cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
  • Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
  • Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
  • Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
  • Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
  • Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.

Qualifications:

Your Experience:

  • 5+ years of demonstrated experience in a DevOps, Site Reliability Engineering (SRE), or cloud infrastructure role.

  • Strong proficiency with infrastructure-as-code (IaC) tools such as Terraform or Ansible.

  • Hands-on experience building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.

  • In-depth knowledge of at least one major cloud provider (GCP, AWS, Azure).

  • Preferred Qualifications

  • Experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

  • Proficiency in a scripting or programming language such as Python or Go.

  • Familiarity with monitoring and observability tools like Prometheus, Grafana, or the ELK stack.

  • Experience supporting machine learning or research-focused environments.

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