Principal Engineer Software
- Compensation
- Not disclosed
- Location
- Office - USA - CA - Headquarters
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Full time
- Experience
- 8+ years
- Category
- Not specified
- Posted
Skills
Must have
- B.S. or higher in Computer Science or related technical field (or equivalent practical experience), with 12+ years of professional software engineering experience and a proven track record in a Tech L
- 8+ years of solid experience architecting and developing large-scale, complex applications, distributed microservices, and modern cloud-native systems (preferably AWS, Azure, or GCP).
- Demonstrated, hands-on proficiency with modern AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot, or equivalent agentic IDEs) to accelerate design, implementation, code review,
- Technical Stack & Identity Domain: Deep expertise in enterprise backend development using .NET / C# (or comparable enterprise stack), along with web development and modern test methodologies. Expertis
- Strong knowledge of databases and caching technologies (e.g., PostgreSQL, Redis), data modeling, analytics, and system performance profiling/tracing.
- Solid grounding in secure-by-default design, threat modeling, vulnerability management, Agile practices, and CI/CD automated deployments.
- Strong strategic thinking, problem-solving, negotiation, and written/verbal communication skills to articulate complex technical decisions to both technical and executive audiences.
Full description
Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job SummaryKey Responsibilities
- Lead the Identity Platform’s technical strategy as an individual contributor—architecting resilient, distributed systems and taking end-to-end ownership of major cross-team initiatives.
- Make initiative-level design and architecture decisions in fast-moving, ambiguous conditions; document trade-offs and align cross-functional stakeholders around technical directions without direct reporting authority.
- Set and enforce the engineering bar through design and code reviews, upholding security, scalability, and performance criteria in alignment with Palo Alto Networks engineering practices.
- Prototype, design, and build new platform components and Proof of Concepts (PoCs); Write clean, secure, and performance-optimized code while applying test-driven development, automation, and CI/CD practices.
- Leverage AI/ML to automate incident detection, root cause analysis, and remediation — reducing toil and accelerating mean time to resolution
- Partner with Product, Infrastructure, and Support teams to translate customer and business needs into scalable system designs and delivery plans.
- Mentor senior and junior engineers through code reviews, and design guidance. Partner with engineering managers on hiring to help attract, evaluate, and onboard high-caliber talent.
- Champion AI-augmented engineering across the team using modern AI tools, reusable context assets, and efficient workflows. Critically review AI-generated code for correctness, security gaps, and API accuracy while maintaining strict data privacy, secret security, and risk mitigation standards.