Senior DevOps Engineer - Data Platform (Cortex)

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.

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.

Your Career: We're looking for a Senior DevOps Engineer with a strong Developer Experience (DevEx) mindset, someone who genuinely enjoys making developers more productive by building and improving the tools, infrastructure, automation, and workflows they use every day. You will work across CI/CD, developer tooling, automation, infrastructure, observability and productivity. Your primary focus will be making development and delivery faster, simpler, more reliable, and more cost-effective. We need someone who can independently identify developer pain points, proactively discover opportunities for improvement, and turn them into scalable engineering solutions. You will be expected to measure the impact of your work and continuously improve critical metrics such as CI feedback time, pipeline reliability, deployment time, infrastructure cost, and overall developer productivity. This role is a perfect fit for someone who thinks far beyond just "keeping the infrastructure running" and is excited about revolutionizing the entire engineering experience.

You will tackle high-impact engineering challenges across our platform. Representative areas you will own and work on include: Optimize CI/CD Pipeline Velocity & Stability Improve CI Stability: Leverage AI to automatically detect recurring test failures, dynamically disable problematic tests, and open Jira tickets for follow-up. Automate Workflows: Utilize AI to automate merge conflict resolutions and keep the merge train moving smoothly. Accelerate CI Velocity: Architect workflows to parallelize work both across jobs and within jobs. Introduce highly effective caching strategies and local Artifactory mirrors to drastically reduce build and dependency-fetch times. Optimize CD: Reduce container image sizes and accelerate deployment times. Partner with QA to introduce and streamline automated regression testing against tenants. Drive Repository Security & Maintenance Improve Security Posture: Automate the identification and remediation of Go and Python dependencies with known CVEs. Automate Maintenance: Design systems to automatically handle Go and Python version upgrades across the codebase. Ensure Performance: Automate performance testing to proactively detect and alert on performance regressions before they hit production. Cloud Infrastructure & Cost Engineering Reduce Infrastructure Costs: Identify and implement innovative opportunities to reduce overall infrastructure and resource consumption. Resource Efficiency: Introduce mechanisms to make our "slim tenants" even more resource-efficient for development and testing. Smart Observability: Re-architect our logging strategy by streaming GCP logs to more cost-effective sinks instead of relying