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Prisma Access is Palo Alto Networks' cloud-delivered security platform that offers a highly scalable cloud service to address the challenges associated with sizing firewalls and resource allocation. It provides a seamless solution for organizations with distributed networks, minimizing coverage gaps and inconsistencies. By leveraging a cloud-based security infrastructure, Prisma Access enables the operationalization of security deployment for remote networks and mobile users. As a Senior Engineer, your role will involve building and designing distributed backend services that serve as the backbone of our platform. You will have the opportunity to think broadly about all system components and carefully consider trade-offs for each design decision. Working with the latest cloud technologies, you will be responsible for integrating them with service APIs from different cloud providers and implementing development methodologies to achieve optimal outcomes. A foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) is increasingly vital for developing the next generation of predictive and resilient security solutions. In addition to backend services, you will also focus on developing and automating monitoring infrastructure, optimizing data collection, analyzing system disruptions, and creating solutions for improved reliability. This position presents a unique opportunity to take charge of the new product architecture, and build it from scratch. You will play a vital role in shaping the future of our product and contribute to its success in the cybersecurity industry.
Job Responsibility:
Analyze requirements, design, develop, and support highly scalable software features and infrastructure on our next-generation security platform ready for cloud native deployment from inception to completion
Develop algorithms to integrate targeted ML/AI concepts as it relates to operations in our cloud security platform in terms of networking and orchestration
Write clean, testable, readable, scalable, and maintainable code that scales and performs well for thousands of customers
Actively guide testing of critical components in the product, considering complex considerations of multiple platforms, performance, supportability, maintainability, and much more
Collaborate closely with the Product management, Development, Quality Assurance, SRE, and Customer support teams on delivering the roadmap and improving customer outcomes
Strive in results-oriented culture with a strong focus on execution, quality, and speed
Requirements:
B.S, M.S or PhD in Computer Science or a related field with a minimum of 8+ years of proven experience and proficiency in one or more programming languages - Go, Python, or Java
Proficient is problem solving with a strong understanding of data structures and algorithms and solid foundation in operating systems, networking and distributed systems
Experience working with Cloud Provider Infrastructure like AWS, GCP, Azure or OCI
Experience in building complex, large scale SaaS solutions with distributed databases and messaging systems
Good understanding of PKI / Certificates and security principles
Proven record designing and implementing scalable REST APIs, services and data pipelines
Experience handling DevOPs, availability and reliability outcomes for a large cloud product
Experience with Test-Driven Development and CI/CD methodologies
Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures (VPCs, load balancers and firewalls within cloud environment)
Strong understanding of microservices-based deployments with the ability to design services
High energy and the ability to work in a fast-paced environment with a can-do attitude
Experience working with architects, product and program managers to deliver product features on time and high quality
Demonstrate technical leadership and mentorship skills
Nice to have:
Experience with Docker and Kubernetes container orchestration
Experience with IaC tools like Terraform, Cloudformation
Experience with monitoring tools (Promotheus, Grafana) and logging tools (ELK stack, Fluentd)