Senior Staff Software Engineer
Role Overview
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.
As a Senior Staff Software Engineer, you will be a technical cornerstone of our engineering organization.
You will design, build, and scale highly complex, distributed microservices that power our enterprise ecosystem.
This role requires a blend of deep hands-on technical expertise, systems thinking, and a passion for modern engineering practices.
You won’t just write code; you will architect scalable systems, champion code quality, and pave the way for AI-driven development methodologies
System Architecture & Design: Design and evolve highly scalable, resilient, and fault-tolerant distributed systems capable of handling enterprise-level throughput.
Hands-on Development: Deliver high-quality, clean, and maintainable code using C# (.NET Core), Java, or Python within cloud-native microservice environments.
Complex Integrations: Deconstruct and map intricate enterprise integrations, understanding how disparate systems interact to build cohesive, scalable solutions.
DevOps & Automation: Drive containerization and orchestration strategies using Docker, Kubernetes, and OpenShift.
Own and optimize modern CI/CD pipelines (GitHub, Jenkins, Artifactory).
Engineering Excellence: Champion rigorous code reviews, robust testing frameworks, and strict API design standards (RESTful APIs).
Constantly challenge the status quo to optimize performance and tech stack efficiency.
Infrastructure as Code: Leverage AWS and AWS CDK to build and manage secure, scalable, and automated cloud infrastructure.
Technical Leadership: Act as a force multiplier by mentoring peers, driving spec-driven development, and integrating next-gen AI tools into the team's daily workflow
Key Skills for This Role
Full Job Posting
Qualifications
- Technical Expertise
- 5+ years of professional experience in large-scale, enterprise-level software environments.
- 5+ years of deep hands-on development experience in C#, Java, or Python, with a strong emphasis on.NET Core in cloud-based environments.
- Expert-level understanding of Distributed Systems Design, including design patterns, caching strategies, and asynchronous messaging.
- Strong experience with containerization and orchestration technologies, specifically Docker, Kubernetes, and Red Hat OpenShift.
- Proven track record with AWS cloud environments and Infrastructure as Code (AWS CDK, Python, or equivalent).
- Deep experience designing, building, and securing REST APIs and developing automated testing/automation frameworks.
- Expertise with modern CI/CD tools (GitHub Actions/Workflows, Jenkins, and JFrog Artifactory).
- Soft Skills & Leadership
- Exceptional cognitive capacity to grasp complex, heavily integrated legacy and modern system architectures.
- A fierce passion for code design, refactoring, and maintaining a high bar for engineering discipline.
- Excellent communication skills with the ability to articulate complex technical trade-offs to both technical and non-technical stakeholders.
- Preferred & Bonus Qualifications (The "AI-Forward" Edge)
- AI-Tool Driven Delivery: Familiarity or hands-on experience leveraging AI-assisted coding tools (e.g., Claude, Cursor, LLM prompts) to accelerate delivery and code generation.
- Spec-Driven Development: Experience using AI tools to interpret, generate, or validate technical specifications and test cases before writing code.
- AI Agents & LLMs: Basic understanding of integrating AI agents, LLM APIs, or retrieval-augmented generation (RAG) frameworks into enterprise workflows is a massive plus.
- 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 [email protected].
- 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.
About Palo Alto Networks
Palo Alto Networks is a cybersecurity company. It develops platforms and services that help organizations protect networks, cloud environments, endpoints and security operations, and it also provides threat intelligence and incident response services.
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