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    Principal DevOps Engineer - Santa Clara, CA, United States - Palo Alto Networks, Inc.

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    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.

    Our Approach to Work

    We lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible - from your wellbeing support to your growth and development, and beyond

    At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. This setup fosters casual conversations, problem-solving, and trusted relationships. While details may evolve, our goal is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and thrive, together

    Your Career

    Palo Alto Networks runs a large infrastructure and is one of the largest GCP customers. As a Principal DevOps Engineer for the PanOS Cloud Components team, you will be part of a team supporting the services running on this infrastructure. This includes automation, architecture, performance, observability, troubleshooting, security, and reliability.

    Our Infrastructure Platform stack includes Terraform, Kubernetes, GitLab CI/CD, GitOps, Prometheus, Grafana, Loki, Docker, GCP, AWS, Vault, Kafka, MySQL, Python, Bash, and Go.

    Your Impact

    • Contribute to the success of SRE and DevOps
    • Develop expertise in new technologies
    • Work with developers, researchers, data scientists, and security experts
    • Design, build and operate reliable, secure Cloud infrastructure
    • Ensure that applications are production-ready, scalable, and reliable
    • Develop tools and automation frameworks
    • Automate robust deployment of robust services
    • Orchestrate end-to-end monitoring and alerting
    • Participate with SRE and Dev teams in the on-call rotation
    • Lead root cause analysis of critical business and production issues

    Your Experience

    • 8+ years as an engineer in Infrastructure, Operations, DevOps, or System Engineering
    • 5+ years building high availability, scalable cloud-native applications on AWS or GCP
    • BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience required
    • Expertise in configuration management with a framework such as Ansible, Terraform, Helm
    • Experience in Site Reliability Engineering, Production Engineering, or DevOps
    • Expertise in public or private cloud
    • Solid experience in Kubernetes and containers
    • Familiarity with PKI concepts, Networking concepts
    • In-depth knowledge of different security controls ( app-id, user-id, security profile, url category, content, ssl decryption, firewall MFA etc)
    • Linux administration, internals, and network troubleshooting
    • Proficiency with programming languages like Python, Java, Golang, and shell scripting to automate tasks
    • Familiarity with CI/CD pipelines, GitLab and GitHub preferred
    • Ability to diagnose and troubleshoot complex distributed systems handling high volume transactions
    • Excellent written and verbal communication, able to collaborate and rally support
    • Self-disciplined, self-managed, self-motivated and strong sense of ownership, urgency, and drive
    • Passion for infrastructure and monitoring as code
    • Ready to understand and dissect new technology stacks quickly

    The Team

    Drawing on the near real-time data collected through PAN-OS device telemetry, our Cortex Data Lake product ingests hundreds of TB in data per day. This high scale environment has exciting challenges in networking, data processing, and overall system design. Our goal is to store and deliver data to both internal customers in a timely and relevant fashion. We strive to help our customers detect and mitigate security impacting events on a 24/7/365 basis with low latency and downtime.

    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 .

    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.

    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 $144,200/yr to $233,200/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here .

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