Senior IT Software Engineer
Palo Alto Networks · Bengaluru · 5+ yrs experience · Posted 2026-06-08
Tech stack: Docker, Go, Java, Jenkins, Kubernetes, SQL, Spring Boot
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About the role
We are seeking a Sr Staff IT Software Engineer to join our CPQ (Configure Price and Quote) team, responsible for designing and developing AI-powered systems for our go-to-market platform. This role will engage with multiple product and engineering teams, playing a critical part in building great products and elevating our engineering best practices. As a Senior IT Software Engineer, you will drive technical design, consistently deliver high-quality, scalable technology products, and thrive in a fast-paced environment, adapting to new business requirements and emerging technologies. Responsibilities: Design and develop scalable, highly reliable AI-powered business systems across multiple services and teams. Proactively collaborate and exchange information with product managers, architects, and other engineering teams to accomplish shared objectives and ensure alignment. Establish and champion engineering standards and best practices within an agile development environment. Challenge the status quo curiously and positively, applying learned insights to simplify complex technical challenges and improve system design. Balance technical debt, product stability, and new features against a backdrop of go-to-market pressures and timelines. Focus on the details by writing high-quality, maintainable, and well-tested code to deliver robust solutions. Mentor junior engineers, empowering them through knowledge sharing and constructive code reviews. Represent the engineering team in cross-functional technical discussions, ensuring alignment and clear communication of complex topics. Qualifications: Required Qualifications A minimum of 5 years of related experience with a Bachelor’s degree; or 3 years with a Master’s degree; or a PhD in Computer Science or a related technical field. Proven ability to develop and maintain scalable web applications and integrations using a microservices architecture. Strong server-side software development experience using Spring/Spring Boot, Java, Go, or other comparable technologies. In-depth knowledge of object-oriented programming, data structures, algorithms, and design patterns. Experience building production applications with LLM APIs (e.g., Google Vertex AI/Gemini, OpenAI, Anthropic). Familiarity with Large Language Models (LLMs), vector embeddings, semantic search, and similarity-based retrieval patterns. Understanding of prompt engineering best practices and LLM security considerations like input validation and prompt injection prevention. Preferred Qualifications Experience architecting conversational AI platforms, chatbots, or Text-to-SQL systems. Proficiency with CI/CD platforms and tools such as Kubernetes, Jenkins, Git, Spinnaker, or Docker. Functional knowledge of Configure, Price, Quote (CPQ) platforms (e.g., Salesforce CPQ, Oracle CPQ).
Qualifications
- Required Qualifications A minimum of 5 years of related experience with a Bachelor’s degree
- 3 years with a Master’s degree; or a PhD in Computer Science or a related technical field.
- Proven ability to develop and maintain scalable web applications and integrations using a microservices architecture.
- Strong server-side software development experience using Spring/Spring Boot, Java, Go, or other comparable technologies.
- In-depth knowledge of object-oriented programming, data structures, algorithms, and design patterns.
- Experience building production applications with LLM APIs (e.g., Google Vertex AI/Gemini, OpenAI, Anthropic).
- Familiarity with Large Language Models (LLMs), vector embeddings, semantic search, and similarity-based retrieval patterns.
- Understanding of prompt engineering best practices and LLM security considerations like input validation and prompt injection prevention.
- Preferred Qualifications Experience architecting conversational AI platforms, chatbots, or Text-to-SQL systems.
- Proficiency with CI/CD platforms and tools such as Kubernetes, Jenkins, Git, Spinnaker, or Docker.
- Functional knowledge of Configure, Price, Quote (CPQ) platforms (e.g., Salesforce CPQ, Oracle CPQ).
Responsibilities
- Design and develop scalable, highly reliable AI-powered business systems across multiple services and teams.
- Proactively collaborate and exchange information with product managers, architects, and other engineering teams to accomplish shared objectives and ensure alignment.
- Establish and champion engineering standards and best practices within an agile development environment.
- Challenge the status quo curiously and positively, applying learned insights to simplify complex technical challenges and improve system design.
- Balance technical debt, product stability, and new features against a backdrop of go-to-market pressures and timelines.
- Focus on the details by writing high-quality, maintainable, and well-tested code to deliver robust solutions.
- Mentor junior engineers, empowering them through knowledge sharing and constructive code reviews.
- Represent the engineering team in cross-functional technical discussions, ensuring alignment and clear communication of complex topics.