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Distinguished Software Engineer; DLP Platform Architecture, Scale, and Advanced DLP Detection

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-01-04
Job specializations:
  • Software Development
Job Description & How to Apply Below
Position: Distinguished Software Engineer (DLP Platform Architecture, Scale, and Advanced DLP Detection)

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

Join to apply for the Distinguished Software Engineer (DLP Platform Architecture, Scale, and Advanced DLP Detection) role at Jobs via Dice.

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.

Company Description

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.

Job Description

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.

Your Impact Architecture & Strategic Vision
  • 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
  • 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 Rocks

    DB, Redis, and Cassandra.
  • Performance Optimization: demonstrate proven experience with high‑performance, multi‑tenant systems and end‑to‑end performance optimization.
  • Cloud Infrastructure: ensure a strong grasp of cloud infrastructure (Google Cloud Platform/AWS/Azure), Kubernetes, observability, and SLO management is applied across the platform.
Mentorship & Operational Excellence
  • 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 (Rocks

    DB, Redis, Cassandra).
  • Strong grasp of cloud infrastructure (Google Cloud Platform/AWS/Azure), Kubernetes, observability, and SLO management. Proven experience with high‑performance, multi‑tenant systems and end‑to‑end performance optimization.
  • Background in data privacy, policy engines, or content inspection/DLP systems preferred. Excellent communicator able to influence across teams and align engineering strategy with business goals.
  • BS/MS degree in Computer Science or equivalent or equivalent military experience required.
Additional Information

You’ll be working in a top‑tier cybersecurity company and collaborating with some of the brightest minds in…

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