Distinguished Software Engineer (DLP Platform Architecture, Scale, And Advanced DLP Detection)

Distinguished Software Engineer (DLP Platform Architecture, Scale, and Advanced DLP Detection)

We're seeking a Distinguished Engineer to lead the architecture, scalability, reliability, and advanced detection algorithms of Palo Alto Networks' Data Loss Prevention (DLP) platform. This role drives the technical vision for low-latency, multi-tenant, and cost-efficient systems that power data protection across all product lines. You'll connect strategy across orgs, guide design and implementation standards, and mentor senior engineers to deliver world-class platform outcomes.

The Distinguished Engineer will define the long-term direction for the DLP platform architecture.

• Define Platform Foundation: Define and drive the DLP platform's "north star," including the scalable control/data planes, APIs, and data pipelines.
• System Design: Design and evolve distributed systems specifically optimized for high throughput, low latency, and fault tolerance.
• Cross-Functional Influence: Lead cross-org architectural alignment across product, Site Reliability Engineering (SRE), privacy, and Machine Learning (ML) teams.
• Detection Algorithm Enablement: Architect the core data structures and serving layers that enable high-performance DLP classification, like Regex, Exact Data Matching (EDM), Document Fingerprinting, and advanced ML/AI classifiers.

Ensure the platform meets the highest standards of performance and reliability through technical execution and optimization.

• Distributed Systems Mastery: Guide the design and implementation of highly resilient systems leveraging expertise in microservices and streaming systems (Kafka/Pulsar/Kinesis).
• Stateful Architecture Implementation: Ensure the platform utilizes stateful architectures necessary for high-performance DLP components, leveraging technologies like RocksDB, Redis, and Cassandra.
• Performance Optimization: Demonstrate proven experience with high-performance, multi-tenant systems and end-to-end performance optimization. Success is measured by achieving step-function improvements in latency, throughput, and reliability.
• Cloud Infrastructure: Ensure a strong grasp of cloud infrastructure (GCP/AWS/Azure), Kubernetes, observability, and SLO management is applied across the platform.

The role requires leadership in engineering standards and organizational consistency.

• Technical Mentorship: Mentor Staff and Principal engineers to influence technical direction and standards company-wide.
• Reusable Frameworks: Build paved roads and reusable frameworks for platform consistency and operational excellence.
• Platform Leverage: Ensure platform capabilities are reused across multiple products.
• Efficiency Gains: Elevate developer productivity and operational efficiency through standardized frameworks.

Pioneering success includes step-function improvements in latency, throughput, reliability, and detection; platform capabilities reused across multiple products; and elevated developer productivity & operational efficiency through standardized frameworks.

The team is a top tier cybersecurity company where you'll collaborate with some of the brightest minds in technology. You will help build and support the tools and infrastructure enabling our developers to release the products that our customers depend on to defend against cyberattacks. Joining this dynamic and fast-paced team will give you the opportunity and thrill of resolving the technical and process gaps that hold back productivity.

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 $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus.

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.