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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Software Engineer - **Company:** Palo Alto Networks - **Location:** United States - **Experience:** Expert - **Salary:** $106,000.0 - $170,500.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, AI Evaluation, JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Application Performance Management, Automation of Tests, Microsoft Azure, BigQuery, Code Review, Databases, Continuous Integration, Data Structures, Cursor, Django Web Framework, Fault Tolerance, Python (Programming Language), PostgreSQL, MongoDB, Systems Development Life Cycle, Search Technologies, Software Engineering, Software Systems, TypeScript, Google Cloud, ReactJS, System Availability, Large Language Models, Prompt Engineering, Google Vertex AI, Vector Embeddings, Reliability of Systems, Generative AI, Backend, Agentic-AI, Fastapi, Data Layers, Build Management, Containerization, Data Analytics, Graphql, Front End Software Development, Prompt Injection, Agent SDK, Docker, Microservices, Agent2Agent Protocol - **Published:** November 6, 2026 - **Apply:** https://startup.jobs/sr-it-software-engineer-paloaltonetworks-com-10688773 ## About the Role * Bachelor's degree and at least 2 years of related experience; or an advanced degree without experience; or equivalent work experience. * Professional backend development experience with Python, using frameworks like Django or FastAPI to design and build fault-tolerant microservice architectures. * Professional experience deploying, maintaining, and optimizing Generative AI or LLM-powered applications in production. * Hands-on experience with LLM orchestration and agentic frameworks (e.g., LangChain, LangGraph, or native cloud Agent SDKs). * Strong technical understanding and hands-on experience with Retrieval-Augmented Generation (RAG) architectures, including vector embeddings, semantic search, and working with vector databases. * Demonstrated experience implementing LLM guardrails, prompt engineering best practices, and prompt injection defenses. * Demonstrated expertise in frontend development with JavaScript, TypeScript, and React. * Strong proficiency in containerization and orchestration using Docker and Kubernetes (GKE). * Proven track record of delivering complex software solutions from concept to production. * Strong proficiency in one or more databases (e.g., BigQuery, MongoDB, Postgres, etc.). * Experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices. * Solid understanding of software engineering fundamentals: data structures, algorithms, system design, and testing. * Strong communication and collaboration skills, with the ability to work cross-functionally., * Proven track record of architecting, deploying, and scaling production-grade Generative AI and LLM-powered applications. * Experience implementing robust AI evaluation (Evals) workflows, selecting metrics, and building automated testing methodologies for generative AI applications. * Deep, hands-on experience with Google Cloud Platform, particularly Google Vertex AI (including Vertex AI Evaluation services). * Production-level knowledge of Agent SDK, LangChain, or LangGraph frameworks, as well as A2A protocols and the implementation of MCP servers. * Experience using Agentic IDEs (e.g., Cursor, Windsurf) in a professional development environment. ## Description The Senior Software Engineer on the Data & Analytics team will design, build, and support full-stack applications; integrate AI technologies into existing and new applications to deliver high-impact business solutions; and champion AI tooling and the AI SDLC using spec-based development and harness engineering. This role will also collaborate closely with developers and IT Product Management to align deliverables, oversee CI/CD pipeline deployments, and provide essential production support to maintain system reliability., We are seeking a dynamic Sr. IT Software Engineer to lead the design and delivery of our next-generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform, you will evolve our core architecture and drive our transition into AI-native engineering. As a technical engineer, you will ensure our systems-including traditional microservices and emerging agentic workflows-are resilient, scalable, and innovative., * Design, develop, test, deploy, and support full-stack applications across the front end, back end, and data layers. * Apply AI-SDLC methodology throughout the development lifecycle, leveraging AI-assisted coding, testing, and review tools to improve engineering velocity and quality. * Design and build agentic workflows end-to-end, including agent orchestration, tool integration, evaluation, and production monitoring using the Vertex AI Agent SDK (or alternative frameworks such as LangChain / LangGraph) and A2A protocols to enable seamless interoperability among autonomous enterprise services. * Collaborate with product managers, designers, and other engineers to translate requirements into scalable technical solutions. * Own the full feature lifecycle, including architecture, implementation, testing, deployment, and ongoing production support. * Write clean, maintainable, well-tested code and participate in code reviews. * Troubleshoot and resolve production issues to ensure high availability and application performance. * Take ultimate accountability for cross-team project outcomes, ensuring AI and software solutions meet rigorous enterprise-grade standards for security, quality, and performance. * Contribute to engineering best practices, documentation, and continuous improvement of development processes.