Sr Staff Engineer Software - NetSec - Bangalore

requirements, apply your knowledge to functional design, utilize your programming skills for efficient and robust implementation, and interact with quality assurance and field support teams in the whole software development cycle. You will focus on using AI to transform how the solutions will be built. The culture at Palo Alto Networks is creative, dynamic and inspiring to tackle real work Cyber-attacks. Key

Responsibilities Responsible for developing NextGen Network Security Components and Protocols for State-of-the-art firewalls deployed in Enterprise, Data Center, Cloud, and Service Provider environments. Build L2-L4 network security features, including stateful TCP/UDP inspection and manageability software, across both on-premises hardware and virtual platforms. Support critical customer escalations and provide timely root cause analysis. Effective decision-maker who takes ownership and independently drives and leads tasks and assignments Build and deploy LLM-based agents and multi-step evaluation workflows for everything you develop and drive development using AI.

Qualifications Required

Qualifications 5+ years of strong experience in C Programming and large scale software development on Unix/Linux. Expert in common network protocols such as TCP/IP, IPv4, IPv6, multicast. Expert in computer architecture, cybersecurity, distributed systems. In-depth understanding of linux systems. Expert C, Python programming skills. Practical experience building LLM-based applications (agents, stateless as well as stateful (multi-turn) systems, evaluators (RAG based or Rule Based). Understanding of model fine-tuning, embedding optimization, and prompt engineering Hands-on experience working directly with AI models, including training, evaluating, and deploying models, as well as building LLM-based applications (agents, multi-turn systems, evaluators). Advanced Agent Development & MCP: Proven experience building autonomous AI agents with hands-on integration of the Model Context Protocol (MCP) to securely connect AI models to external tools, data sources, and internal APIs. Understanding of model fine-tuning, embedding optimization, and prompt engineering. Experience with broader LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI). Knowledge of LLM orchestration frameworks (LangChain, LlamaIndex, Pydantic AI, or custom solutions). Familiarity with model architecture and demonstrating strong judgment on when to fine-tune versus when to utilize prompt engineering. Knowledge of LLM orchestration frameworks ( LangChain, LlamaIndex, Pydantic AI, custom solutions) Preferred

Qualifications BS/MS degree in Computer Science/Engineering or equivalent experience Can-do attitude and ability to take initiative and drive open issues to completion Strong communication skills to work effectively with multi-functional groups. Strong Experience in C++/JAVA programming and XML/JSON understanding is desirable. 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. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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