Senior Staff Software Engineer (Prisma Access) at Palo Alto Networks

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

190000.0

Posted On

13 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Cloud Technologies, Distributed Systems, Machine Learning, Artificial Intelligence, DevOps, Networking, SaaS Solutions, REST APIs, Data Pipelines, Test-Driven Development, CI/CD, Microservices, Docker, Kubernetes, Terraform

Industry

Computer and Network Security

Description

Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are 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 Description Your Career 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. Your Impact 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 Drive a results-oriented culture with a strong focus on execution, quality, and speed Qualifications Your Experience B.S, M.S or PhD in Computer Science or a related field with a minimum of 7+ 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 Preferred 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) Hands on experience with Graph databases Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about creating products to solve problems no one has tackled before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Our engineering team is provided with an unrivaled opportunity to build the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people's products can transform a business, this is the team for you. If you don’t wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career. Compensation Disclosure The 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/commissioned roles) is expected to be between $175,000 - $190,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that 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 [email protected]. 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.

Responsibilities

The Senior Staff Software Engineer will analyze requirements, design, develop, and support scalable software features for the Prisma Access platform. They will also develop algorithms for integrating ML/AI concepts and automate monitoring infrastructure.