Key Responsibilities

• Lead Critical Initiatives End-to-End — Own complex, business-critical engineering efforts from problem definition and architecture through implementation and production, often spanning multiple teams and domains.
• Build and Scale the Backbone of AppSec — Design and evolve distributed systems and data infrastructure supporting large enterprise environments and hundreds of millions of entities, while balancing scalability, reliability, performance, and cost.
• Stay Hands-On and Raise the Engineering Bar — Write and review production code, solve complex technical problems, and champion excellent architecture, maintainable code, testing, observability, and production ownership.
• Drive Performance & Reliability — Identify architectural and operational bottlenecks and lead meaningful improvements in scalability, resiliency, efficiency, observability, and production readiness.
• Shape DevEx and AI-Driven Engineering — Improve how engineers build, test, debug, and operate software while leveraging AI, automation, and agentic approaches to accelerate development and unlock new capabilities.

Qualifications

• 6+ years of hands-on backend software engineering experience , with demonstrated ownership of complex production systems.
• Proven experience designing, building, and operating large-scale distributed systems in production.
• Strong backend development skills in one or more modern languages such as TypeScript/Node.js, Go, Python, Java, or similar .
• Strong experience with cloud-native architectures , preferably on GCP or AWS.
• Hands-on experience with SQL and NoSQL databases and the ability to reason about data modeling, indexing, query performance, scalability, and operational trade-offs.
• Experience using AI-assisted engineering tools as a meaningful part of the development workflow, combined with the engineering judgment to validate generated solutions and understand their trade-offs.
• Excellent communication skills and the ability to influence technical decisions across teams and disciplines.
• B.Sc. in Computer Science or an equivalent technical field, or equivalent practical / military experience.

Advantages

• Experience with Kubernetes, Docker, microservices, and event-driven architectures .
• Experience with Infrastructure as Code , such as Terraform, Pulumi, or similar technologies.
• Experience optimizing high-throughput or data-intensive production systems for performance and cost.
• Experience building AI-powered features, agents, or agentic workflows .

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.