Palo Alto Sr Manager Software Engineering 

India, Karnataka, Bengaluru 

816424169

Being the cybersecurity partner of choice, protecting our digital way of life.

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.

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.

All your information will be kept confidential according to EEO guidelines.