Sr Staff Engineer Software (Platform)

Palo Alto Networks•Santa Clara, CA

6h•Onsite

About The Position

We are seeking a highly skilled and experienced Sr Staff Engineer to join our Engineering Productivity/Platform team that can challenge the status quo, thrive in an evolving and fast-paced environment to find creative, efficient and high quality solutions to complex problems. We expect you to take healthy risks as you collaborate with engineering teams across the company to empower them in developing and delivering their products with the highest quality and velocity while ensuring security throughout the lifecycle. As a Sr Staff Engineer on the Engineering Productivity/Platform team, you will be instrumental in elevating the innovation within the team as we champion a world-class engineering culture across the company. You will tremendously impact thousands of engineers and drive initiatives in source code management, build and test tooling, end-to-end CI/CD pipeline workflows while automating everything (well, everything that matters and should be automated). We are looking for a self-motivated and passionate engineer with an extensive engineering development background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. The way this engineer will deliver impact may vary depending on the situation but they will be expected to deliver complete solutions to existing problems from ideation to production and effectively communicate with stakeholders.

Requirements

Proficiency in object-oriented programming languages such as Python, Javascript, Go (Nice to have)
Experience with web frameworks such as Django, NodeJS, React
Knowledge of containerization technologies (Docker, Kubernetes)
Proficiency in algorithms, data structures, Relational DB (Postgres), and system design
Understanding of Unix/Linux, SSH, and networking fundamentals
6+ years of experience in software engineering, DevOps, or related fields
Experience with cloud platforms (GCP, AWS and Azure)
Excellent problem-solving skills and the ability to troubleshoot complex issues
Experience debugging CI build pipelines for any issues
Knowledge of infrastructure as code (IaC) and config mgmt tools like Terraform and ansible
Familiarity with monitoring and logging tools (Prometheus, Grafana)
Strong communication skills and the ability to work collaboratively across teams
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent military experience

Nice To Haves

Hands-on experience with GitLab/Bitbucket, Jenkins, and Artifactory in complex environments
Previous experience in a cybersecurity or high-tech environment
Experience with AI tools and infrastructure for developer productivity

Responsibilities

Set the example for high levels of accountability
Execute and deliver impact both individually and through the team
Implement the infrastructure, tools and frameworks needed to keep our thousands of developers in sync while sharing code, building, testing, releasing, and deploying their applications and services continuously
Design, build and maintain tools and frameworks to automate the commit-deploy pipeline (including development, testing, release/deployment and monitoring) of our products and services
Design, develop, and maintain comprehensive CI/CD templates for use across various engineering teams
Simplify and increase visibility into the CI pipelines and enable easier and faster insights into potential problems
A working knowledge of foundational AI/ML concepts and experience leveraging relevant AI tools, libraries, or APIs to enhance engineering workflows
A proven ability or keen interest in applying Generative AI and other intelligent technologies to optimize developer processes
An ability to understand and utilize relevant engineering data to identify opportunities for AI/ML integration that drives measurable improvements in developer efficiency and output quality
Monitor the performance and health of the engineering productivity tools
Troubleshoot and resolve issues promptly to minimize downtime and impact on developer productivity
Identify opportunities for automating repetitive tasks, improving workflows, and enhancing overall developer productivity
Stay updated with industry trends and emerging technologies to implement innovative solutions