Sr Manager, IT Software Engineering

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 take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Your Career

We are seeking an experienced Senior Engineering Manager to lead the design and development of our SW Platform for Cloud and AI Services. In this critical role, you will drive technical strategy, build a self-serving platform that provides services and building blocks for all Cloud and AI-powered applications across the enterprise, and abstract the complexity of Cloud and AI infrastructure. Your leadership will empower development teams to build, ship, and iterate on Enterprise Applications and AI-powered features faster and more securely.

Your Impact

• Lead the architecture and development of our end-to-end Cloud and AI platform engineering services.

• Collaborate intimately with the AI Tools team to ensure seamless rollout of new AI tools and platforms, prioritizing ease of onboarding, security, and governance.

• Work closely with engineers to deeply understand their workflows, ensuring the platform provides frictionless "golden paths" from prototyping to deployment and hassle-free post-deployment operations.

• Build, mentor, and grow high-performing software engineering teams, fostering a culture of technical excellence, innovation, and continuous improvement.

• Partner closely with Product Management, SRE, and other cross-functional engineering teams to define roadmaps, gather requirements, and ensure seamless feature delivery.

• Ensure the scalability, reliability, security, and performance of the platform across various deployment environments (e.g., cloud, on-premise).

• Actively participate in roadmap discussions, technical reviews, and strategic planning, aligning technical initiatives with overall business objectives.

• Drive best practices in software development, data governance, AIOps, and operational excellence.

Qualifications

Your Experience 

• Engineering Degree in Computer Science, Applied AI or a related technical field.

• 12+ years of progressive experience in software engineering, with at least 8+ years in building Cloud Native Distributed Systems, Cloud Platform Services, AI Enabled Applications and Services. 

• Deep understanding and hands-on experience with the latest AI Infrastructure Services & Platforms, including Models, Vector DBs, AI frameworks (e.g., Langchain, Langgraph), and Platforms (e.g., Vertex AI, AWS Bedrock).

• Proven expertise in solving multiple complex use cases by building AI solutions powered by RAG, Agents, and Agentic workflows & techniques.

• Proven expertise in leading the design and development of large-scale, high-performance distributed systems & applications.

• Experience working directly with customers to understand their needs, translate requirements into technical solutions, and drive adoption of intelligent systems.

• Proficiency in relevant programming languages such as Python, Go, or similar.

• Extensive experience with cloud platforms (AWS, Azure, GCP) and container orchestration technologies (e.g., Kubernetes).

• Proven leadership, team-building, and mentoring skills, with a track record of attracting and retaining top engineering talent.

• Ability to thrive in a fast-paced, dynamic environment, balancing innovation with a strong bias for action.

Additional Information

The Team

The IT Infrastructure Platform Engineering team plays a critical role in software development, focusing on scalability and adaptability of the infrastructure across the organization. Their work has sweeping effects on all infrastructure verticals, encompassing areas such as Compute, Network, DB, IAM, etc

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  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.