Senior Principal Engineer, Developer Productivity
Palo Alto Networks3 days ago
Base Salary
$243k - $335k/yr
Responsibilities
- Design, prototype, and productionize AI agents and workflows for requirements, coding, code review, testing, documentation, deployment, and operations.
- Build reusable agent skills, integrations, evaluation frameworks, templates, reference implementations, and developer-platform integrations.
- Modernize complex and poorly documented systems using AI-assisted analysis, refactoring, migration, test generation, documentation, and dependency mapping.
- Establish safe agentic-workflow controls including least-privilege access, sandboxing, approvals, audit trails, rollback, observability, and human traceability.
- Partner with Security, Privacy, Legal, Risk, Compliance, application owners, and business stakeholders to implement practical controls and preserve intended system behavior.
- Drive adoption of AI capabilities across engineering teams through reusable patterns, golden paths, workshops, architecture reviews, mentoring, and technical demonstrations.
- Define baselines and measure delivery speed, review cycle time, test effectiveness, change-failure rate, security findings, recovery time, developer experience, and cost.
- Represent the organization externally through conferences, technical forums, publications, reference architectures, case studies, and industry communities.
Requirements
- Bachelor’s degree and 15 years of related experience, or a Master’s degree and 12 years, or a PhD and 8 years of software-engineering experience, or equivalent demonstrated technical impact.
- Experience operating at Senior Principal, Principal, or equivalent scope across multiple teams or engineering domains.
- Strong hands-on software-engineering skills and a recent record of building and operating production systems.
- Practical experience with large language model APIs, tool-using agents, agent orchestration, context engineering, evaluation frameworks, and AI observability.
- Experience integrating AI capabilities into developer workflows, engineering platforms, or enterprise applications.
- Strong knowledge of distributed systems, APIs, event-driven architectures, CI/CD, cloud infrastructure, testing, observability, and production operations.
- Experience modernizing complex, business-critical, or poorly documented systems.
- Ability to influence technical direction across organizations without direct authority and communicate clearly with technical, executive, and non-technical audiences.
- Preferred experience introducing AI-assisted or agentic development workflows in large or regulated enterprises and working with ERP, CRM, HRIS, CLM, finance, or customer-support platforms.
- Preferred experience implementing AI security controls for data protection, permission boundaries, auditability, and prompt-injection defenses.
- Familiarity with developer-productivity frameworks such as DORA and SPACE, plus technical publications, open-source contributions, or conference presentations.
Benefits
- Most teams work from the office full time, with flexibility when needed.
- Employee benefits are described through the employer’s benefits information, but specific benefits are not listed in the posting.
Categories
About Palo Alto Networks
Palo Alto Networks builds cybersecurity products for enterprises and governments, including next-generation firewalls, cloud security (Prisma Cloud/Prisma Access), and SOC tools (Cortex). It sells subscriptions and appliances with cloud-delivered threat intelligence, securing networks, endpoints, and applications across data centers and public clouds. Founded in 2005 and headquartered in Santa Clara, California, the company is publicly traded on the NYSE under the ticker PANW.