Distinguished Software Engineer, Palo Alto Networks
Data Security, Distributed Systems, Big Data & AI
$230-300k
Office located in Santa Clara, CA
Leading cybersecurity protections and software platform
Be an early applicant
Leading cybersecurity protections and software platform
1001+ employees
Be an early applicant
$230-300k
Office located in Santa Clara, CA
1001+ employees
Company mission
To be the cybersecurity partner of choice, protecting our digital way of life.
Role
Who you are
- 12+ years of experience in a high-scale data-intensive environment, with a minimum of 3+ years operating as a Distinguished or Principal-level Engineer/Architect
- Mastery of Google Cloud Platform (GCP) with extensive, hands-on experience architecting and scaling solutions using BigQuery and Vertex AI or equivalent AWS, Azure, or other Big Data & AI services
- Expertise in Big Data processing frameworks and managed services, specifically with building and scaling data and analytics pipelines using Dataflow, Pub/Sub, and GKE (or equivalent technologies like Apache Spark/Kafka)
- Strong experience in SQL & NoSQL databases (e.g., MongoDB, Cassandra, Spanner), with an understanding of their respective architectural trade-offs for distributed systems
- Demonstrated ability to design scalable data models and systems that enable high-precision
- Proven ability to build and optimize clean, well-structured analytical datasets for large-scale business and data science use cases
- Demonstrated experience in implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics
- Prior experience in the security domain (especially DLP, Data Security, or Cloud Security) is a significant advantage
- Exceptional ability to influence technical and business leaders, translating ambiguous problems into clear, executable technical designs
- BS/MS in Computer Science or Electrical Engineering or equivalent experience or equivalent military experience required
What the job involves
- As a Distinguished Engineer on the Enterprise DLP team, you will be the foremost technical leader responsible for architecting and scaling the data platform that underpins our industry-leading cloud-delivered DLP servic
- Your mission is to establish the standards and systems necessary to process and analyze massive volumes of sensitive data, leveraging cutting-edge AI/ML, to ensure our customers' data remains protected across all network, cloud, and user vectors
- As a Distinguished Engineer, you will own the long-term technical direction and execution for all data and analytics infrastructure within Saas Data Security and AI
- Define Architectural Roadmap: Set the 3-5 year technical strategy and architectural vision for the Enterprise DLP data platform, emphasizing scalability, performance, security, and cost-efficiency
- Big Data & AI Foundation: Drive the design, implementation, scaling, and evangelism of the core BigQuery, Vertex AI, Nvidia Triton, Kubeflow platform components that enable high-velocity data ingestion, transformation, and Machine Learning model serving for DLP detections
- Real-time Decisioning: Architect and implement ultra-low latency data ingestion and processing systems (utilizing Kafka, Pub/Sub, Dataflow) to enable real-time DLP policy enforcement and alert generation at massive enterprise scale
- Cross-Functional Influence: Act as the technical voice of the DLP data platform, collaborating with Engineering VPs, Product Management, and Data Science teams to align platform capabilities with product innovation
- Big Data Pipeline Mastery: Architect and Lead the design and implementation of highly resilient, optimized batch and real-time data pipelines (ETL/ELT) to transform raw data streams into high-quality, actionable datasets
- Optimized Datasets: Expertly design and optimize clean, well-structured analytical datasets within BigQuery, focusing on partitioning, clustering, and schema evolution to maximize query performance for both operational analytics and complex data science/ML feature generation
- Database Strategy: Provide deep, hands-on expertise in both SQL and NoSQL databases like MongoDB, Spanner, BigQuery, advising on the optimal data persistence layer for diverse DLP data use cases (e.g., policy configurations, high-speed telemetry, analytical fact tables)
- MLOps Implementation: Establish robust MLOps practices model deployment & execution pipelines like Vertex AI, Nvidia Triton for DLP models, including automated pipelines for continuous training, versioning, deployment, and monitoring of model drift
- Performance Engineering: Debug, optimize, and tune the most challenging performance bottlenecks across the entire data platform, from initial data ingestion to final analytics query execution, often dealing with PBs of data
- Technical Mentorship: Mentor and develop Principal and Staff-level engineers, raising the bar for engineering craftsmanship and data platform development across the organization
- Operational Health: Define and implement advanced observability, monitoring, and alerting strategies to ensure the end-to-end health and SLOs of the mission-critical DLP data service
Our take
With cyber threats evolving at lightening speed, businesses need robust solutions to protect their data and infrastructure. And the global cybersecurity market is projected to grow significantly, driven by increasing cyberattacks and the adoption of digital transformation initiatives. Because of this, companies are seeking security platforms that can address these challenges efficiently.
That's where Palo Alto Networks steps in, a frontrunner in the cybersecurity arena. It offers a suite of AI-powered security solutions designed to safeguard enterprises across various sectors. Its platforms, such as Cortex XSIAM and Prisma AIRS, integrate advanced threat detection, zero trust architecture, and real-time response capabilities so organizations are ready to manage and mitigate risks.
Its leadership is evident too, with impressive growth and strategic partnerships. Recently the company surpassed $1.5M in sales through the Google Cloud Marketplace, highlighting the demand for its innovative security solutions. Additionally, a collaboration with AT&T aims to enhance cybersecurity offerings, further solidifying its position in the market.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2022
$34m
SERIES A
May 2022
$11m
SEED
Total funding: $45m
Company benefits
- Healthcare: We value your health and provide options so you can choose what best supports your lifestyle and personal health goals. Various nationwide plans — including Blue Shield of California, Kaiser Permanente, Delta Dental, VSP, and more — are available to you and your family. Our providers offer the flexibility you want and the coverage you need
- Wellness: With a large on-site gym and daily, instructor-led exercise classes at HQ in Santa Clara, Palo Alto Networks actively supports employee fitness. Our juice bar, Gym & Juice, features fresh juice blends, a quick and nutritious option pre- or post-workout. And our ongoing wellness speaker series highlights the latest trends in health and wellness
- Development: Professional development is serious business at Palo Alto Networks, where the Talent Development team offers 25+ courses to help employees boost their careers and develop leadership capability
- Financial: Most roles are eligible for equity grants, and we now offer new hires a quarterly vesting schedule right away. We want you to be fairly compensated and rewarded as soon as you make an impact – on our team, that happens immediately! And because we consider every employee a stakeholder in our long-term success, we offer an Employee Stock Purchase Plan (ESPP) with a 24-month lookback. From life insurance to health savings accounts, we provide ways to help you protect and grow your wealth. Palo Alto Networks offers both traditional and Roth 401(k) options, along with a company match of 50% to a max annual amount of $1,000
- Time Off: In addition to paid corporate holidays, Flexible Time Off programs empower our employees to balance their work schedules with personal time off. We offer 12 weeks of full pay for medical leave and 6 weeks of full pay for parental leave. As a company with strong ties to the military and veterans, we also offer 26 weeks of full pay for military leave
- Perks: Our corporate discount program provides employees with significant discounts on merchandise, travel and entertainment. We offer many on-site perks at headquarters, including cafeterias, fuel service, dry cleaning service, EV charging stations, and a company store. We also provide complimentary drinks, fresh fruit, and snacks in break rooms across our campus to help everyone power through the day. Life at Palo Alto Network
Company HQ
Santa Clara, CA
Leadership
Nikesh Arora
(CEO & Chairman)Previously the President and COO at SoftBank, CBO at Google, and CMO at T-Mobile.
Nir Zuk
(Founder & CTO)Previously CTO at NetScreen Technologies, which was acquired by Juniper Neworks in 2004. They also co-founded OneSecure where they served as CTO and was the Principal Engineer at Check Point Software Technologies.
Lee Klarich
(CPO)Initially joined Palo Alto in 2006 as the EVP of Product Management and became CPO in 2018. Prior to this, they were the Director of Product Management at Juniper Networks and a Product Line Manager at NetScreen Technologies.
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