Key Responsibilities
Provide technical and organizational leadership for globally distributed engineering teams.
Lead architecture evolution toward modular mobile applications backed by cloud-native microservices.
Drive adoption of AI-enabled Software Development Lifecycle (AI-SDLC/ADLC), including AI-assisted design, coding, testing, documentation and code reviews.
Champion Agentic SDLC practices and responsibly integrate AI coding assistants to improve engineering productivity.
Mentor engineering managers and senior engineers through coaching, career development and technical leadership.
Own hiring, performance management, succession planning and team growth.
Partner with Product Management, UX, Security and Platform Engineering to deliver customer-centric capabilities.
Establish engineering metrics including DORA, Flow Metrics, deployment frequency, MTTR and developer productivity KPIs.
Drive engineering excellence through CI/CD, automated testing, DevSecOps, observability and secure coding practices.
Lead production readiness, operational excellence, incident management and continuous improvement.
Qualifications
Required Qualifications
12+ years of software engineering experience with 5+ years leading high-performing engineering teams.
Deep expertise in Android (Kotlin) and iOS (Swift) native development with MVVM, MVI, Clean Architecture, modular architecture, Jetpack Compose and SwiftUI.
Strong understanding of enterprise mobile security including OAuth2, OpenID Connect, biometrics, certificate pinning and secure storage.
Experience designing cloud-native backend systems using Java/Spring Boot, .NET Core, Go or Node.js.
Strong knowledge of REST, GraphQL, gRPC, event-driven architectures and microservices.
Hands-on experience with Docker, Kubernetes/EKS and AWS or Azure.
Experience with CI/CD, GitHub Actions/Azure DevOps, Infrastructure as Code and DevSecOps.
Experience leveraging GitHub Copilot, Cursor, Claude Code or similar AI engineering tools.
Knowledge of AI agents, Agentic SDLC, LLM-assisted development and responsible AI engineering.
Excellent communication, stakeholder management and strategic leadership skills.
Preferred Qualifications
Experience building reusable mobile platforms, SDKs and shared components.
Experience leading monolith-to-microservices modernization.
Experience with Platform Engineering and Internal Developer Platforms.
Knowledge of RAG, MCP, AI agents and enterprise AI integration patterns.
Experience in Identity Security, IAM or Cybersecurity products.
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.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.