Principal Software Engineer – SASE AI/ML

Palo Alto Networks

. Provide technical leadership for the end-to-end delivery of solutions, ensuring alignment with cross-functional Product Management and Quality Assurance teams.

Posted 5/23/2026full-timeSanta Clara • California • 🇺🇸 United StatesLead💰 $170,000 - $277,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSBigQueryCloudGoGoogle Cloud PlatformJavaKafkaKubernetesPythonRedisSQL

About the role

Key responsibilities & impact

Provide technical leadership for the end-to-end delivery of solutions, ensuring alignment with cross-functional Product Management and Quality Assurance teams.
Design, implement, and troubleshoot robust next-generation cloud security solutions to address complex network security challenges.
Drive the development of scalable cloud security architecture through hands-on coding and strategic architectural planning.
Manage the full product development lifecycle, from definition and design through implementation, testing, and deployment.
Collaborate proactively with Product Management, SRE, and Quality Engineering to deliver high-quality security-as-a-service offerings to market.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or equivalent field.
10 years of relevant software engineering experience.
Minimum of 5 years of hands-on programming experience in Python or Java, with additional proficiency in Go.
Proven experience designing and developing high-performance, high-scale distributed software applications in a cloud environment.
Strong technical proficiency with cloud technologies such as data ingestion (Data Flow, Flink, Apache Beam), message queue (Kafka/PubSub), and Data Storage (BigQuery/SQL/Bigtable/Redis).
Demonstrated expertise in backend development, including REST APIs, databases, and serverless computing for distributed cloud applications.
Experience in developing services in the cloud/Kubernetes.
Experience with building data pipelines and analytics pipelines using tools like Dataflow, PubSub, or GKE.
Deep understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Familiarity working with GCP or other Cloud platforms such as AWS.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaGocloud securitybackend developmentREST APIsserverless computingdata pipelinesanalytics pipelinesdistributed software applications

Soft Skills

technical leadershipcollaborationproactive communicationstrategic planning