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

Company 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.

Who We Are

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 Description

Your Career

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.

Your Impact

​​Architecture & Strategic Vision

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.

High-Scale Platform Engineering & Performance

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.

Mentorship & Operational Excellence

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

• Step-function improvements in latency, throughput, reliability, and detection.
• Platform capabilities reused across multiple products.
• Elevated developer productivity & operational efficiency through standardized frameworks.

Qualifications

Your Experience 

• 12+ years of experience building large-scale distributed systems or SaaS platforms with a minimum of 3+ years operating as a Distinguished or Principal-level Engineer/Architect.
  Deep expertise in microservices, streaming systems (Kafka/Pulsar/Kinesis), and stateful architectures (RocksDB, Redis, Cassandra).
• Strong grasp of cloud infrastructure (GCP/AWS/Azure), Kubernetes, observability, and SLO management.
  Proven experience with high-performance, multi-tenant systems and en