Sr Principal Software Engineer - Sase Ai/Ml Job at Palo Alto Networks (Santa Clara)

Job Description

As a Sr Principal Software Engineer within the Engineering team, you will drive the technical leadership and end-to-end delivery of next-generation solutions. You will collaborate with cross-functional teams to design, implement, and troubleshoot high-scale distributed systems, playing a pivotal role in shaping the future of our network security architecture. This role offers the opportunity to innovate at the intersection of cloud technology and cybersecurity, delivering impactful offerings that protect our digital way of life.

Job Responsibility

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
Simplify complex technical issues to improve end-customer outcomes by working closely with customer support teams
Foster a culture of innovation, intellectual curiosity, and problem-solving within the engineering organization
Design, develop and implement highly scalable software features and data ingestion on our next-generation security platform as part of our Strata Cloud Manager
Work with different development and quality assurances groups to achieve the best quality
Suggest and implement improvements to the development process
Work with DevOps and the Technical Support teams to troubleshoot customer issues

Requirements

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or an 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
Strong understanding of message queuing, stream processing, and highly scalable 'big data' data stores
Deep understanding in Big Data technologies like Kafka, Data Flow, and SQL, including developing APIs
AI first mindset with deep expertise using AI tools like Claude, Gemini etc.
Mastery of the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, peer review, and operations
Experience with RESTful interfaces and Build Management tools (Gradle, Maven)
Experience in continuous integration and design
Experience with Test-Driven Development (TDD)
Experience with distributed computing and object-oriented design and analysis
Strong understanding of microservices-based deployments with the ability to design services
Familiarity with Agile methodologies (e.g., Scrum Process)
Familiarity working with GCP or other Cloud platforms such as AWS
Excellent collaboration and communication skills, with a high degree of energy and a fast learner mentality, able to work effectively in a fast-paced environment

Nice to have

Experience with container orchestration platforms, specifically Docker and Kubernetes
Comprehensive understanding of public cloud design considerations, including microservice architectures, global network infrastructure, and load balancing
Working knowledge of TCP/IP networking protocols and principles
Prior experience working with Google Cloud Platform (GCP) or Amazon Web Services (AWS)

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Sr Principal Software Engineer - Sase Ai/Ml

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