Our MissionAt Palo Alto Networks , we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place.
Who We AreIn order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
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 SummaryAs a Principal Software Engineer, Data Platform on the Prisma AIRS Runtime Security team, you will serve as a technical visionary and strategic leader shaping the future of our enterprise data infrastructure. You will partner with executive leadership, product management, ML engineers, data scientists, and cross-functional software teams to conceptualize, architect, and deliver cutting-edge, enterprise-grade distributed processing solutions. You will be at the vanguard of innovation for our platform in the rapidly evolving space of real-time streaming and high-throughput batch data processing. Your responsibilities will transcend traditional pipeline development to lead continuous performance and efficiency optimizations, enabling multi-source data ingestion and transformation to power AI model lifecycle workflows, operational analytics, and automated security policy recommendations. You will drive technical excellence across the organization, set architectural standards, and act as a force multiplier by mentoring other engineers on the team.
Key Responsibilities- Partner with Product Management, SRE, ML Engineering, Security Researchers, and Quality Engineering to design and deliver high-throughput data platform capabilities and streaming services.
- Architect and build resilient, multi-source batch and streaming engines to power analytical workflows, business insights, and internal feature improvements.
- Profile, benchmark, and tune distributed execution DAGs, state storage, and compute resources to maximize throughput, lower processing latency, and optimize cloud expenditure at scale.
- Evangelize and implement modern software engineering best practices, including spec-driven development, comprehensive testing frameworks, and agentic coding workflows.
- Act as a force multiplier by mentoring senior and junior engineers, conducting rigorous architectural reviews, and cultivating a culture of technical excellence across the team.
Qualifications Required Qualifications- Bachelor's degree in Computer Science or a related field with 10+ years of relevant industry experience, or a Master's degree with 8+ years of experience.
- Deep domain expertise in designing, building, and operating highly scalable, fault-tolerant distributed systems, with exceptional programming skills in Golang and Python.
- Hands-on experience building backend data platform infrastructure using distributed execution engines such as Apache Beam or Apache Spark.
- Hands-on experience architecting, building, or deploying complex agentic workflows, tool-use pipelines, or multi-agent orchestrations within data infrastructure.
- Proven track record of profiling, benchmarking, and tuning high-throughput distributed pipelines to improve latency and resource efficiency.
- Broad experience with cloud-native data stacks (Google Cloud Platform/Dataflow preferred), messaging (Pub/Sub, Kafka), storage engines (BigQuery, Iceberg), and infrastructure tooling (Kubernetes, Terraform).
- Demonstrated ability to drive consensus across multi-team boundaries, solve complex technical problems, and mentor senior engineering talent.
Preferred Qualifications- Active contributions or committer status in open-source big data projects (Apache Beam, Spark, Airflow, Iceberg, etc.).
Compensation DisclosureThe 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/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$147,000.00 - $237,500.00/yr
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
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.
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