Principal Software Engineer - SASE AI/ML
Listed on 2026-05-27
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Software Development
Cloud Engineer - Software, Software Engineer, DevOps
Job Summary
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.
TheTeam
Engineering – Our engineering team is at the core of our products and connected directly to our mission of preventing cyberattacks. We constantly innovate – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
Job DescriptionYour responsibilities include leading technical design, architecting cloud-native services, developing code, and mentoring teams. You will work closely with product, SRE, QA, customer support, and Dev Ops to deliver secure, scalable, and reliable software solutions that protect users and infrastructure.
Key ResponsibilitiesProvide 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 high-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 assurance groups to achieve the best quality.
Suggest and implement improvements to the development process.
Work with Dev Ops and the Technical Support teams to troubleshoot customer issues.
Required Qualifications
Education and Experience:
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.
Technical Expertise (Distributed Systems and Cloud):
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, Pub/Sub) and data storage (Big Query, 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, Pub/Sub, 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.
Development Practices:
Mastery of the full software development life cycle, including coding standards, code reviews,…
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