Sr. Staff Software Engineer (AI Platform)

Qualifications

• 6+ years of experience in Software Engineering, Platform Engineering, or Distributed Systems with a Bachelor’s degree in a technical field.
• 2+ years of hands-on experience building AI software, integrating LLMs, or developing predictive analytics into production applications.
• Proven track record with LLM APIs & SDKs (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock) alongside practical prompt engineering and agent framework development.
• Strong software engineering fundamentals in Python, TypeScript (Node.js), or Go.
• Deep understanding of software architecture, asynchronous programming, distributed systems design, and performance tuning.
• Preferred Qualifications (Nice to Haves)
• Experience with multi-cloud infrastructure (AWS, Azure, GCP) and Infrastructure-as-Code tools (Pulumi, AWS CDK, Terraform).
• Deep understanding of Kubernetes, service meshes, and cloud-native networking dynamics.
• Background in Linux internals, low-level system performance tuning, or core SRE practices.
• Experience building intelligent CI/CD delivery pipelines (GitHub Actions, GitLab CI) with AI-assisted code reviews.
• Certified Kubernetes Administrator (CKA) or equivalent cloud architecture certifications.
• 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/com-missioned roles) is expected to be the annual range listed below. 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 trailblazers that dream big, 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 accommodations@paloaltonetworks.com.
• 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.