Senior IT Software Engineer, Full Stack (Java / React / GCP AI)
Palo Alto Networks (India) Technologies Private Limited
Bengaluru, Karnataka, IndiaSENIOR
FullstackAI Integration
Job Description
Design, build, and scale backend microservices alongside modern frontends focusing on AI integration.
Responsibilities
- Develop secure backend microservices.
- Establish architectural patterns for Java and GCP ecosystem.
- Lead technical reviews and mentor engineers.
Qualifications
- 3+ years of professional software engineering experience, with a proven track record of operating at a Staff, or Tech Lead level.
- 2+ years of hands-on experience designing, fine-tuning, and building autonomous AIagentic solutions, LLM architectures, and RAG pipelines in a production setting.
- Expert-level experience with Java and Spring Boot (or equivalent enterprise frameworks like Go or advanced Node.js) building resilient distributed systems and secure RESTful APIs. Experience with SQL (MySQL) and NoSQL (MongoDB, Cassandra) schema design and performance tuning.
- Deep experience building complex, production-grade web applications using React, TypeScript, Next.js, and Node.js. Strong understanding of SSR (Server-Side Rendering), state management, and building intuitive, responsive interfaces for data-dense AI workflows.
- Strong experience designing and deploying distributed systems on Google Cloud Platform, specifically using Google Kubernetes Engine (GKE) or Cloud Run, alongside modern CI/CD tools (Harness, Jenkins).
- A strong focus on the end-user. You understand how to handle the unique UI/UX challenges of Generative AI, such as streaming model responses, conversational state management, and elegant fallback UI states.
- Exceptional ability to articulate complex technical, cloud, and AI concepts to both deeply technical engineers and non-technical business stakeholders.
- Preferred / Bonus Points
- Proficiency in Python for backend development, quick AI prototyping, and data
- processing.
- Google Cloud Certified Professional Cloud Architect or Professional Data Engineer.
- Familiarity with cybersecurity principles for AI applications.
Nice to have
- Proficiency in Python.
- Google Cloud Certification.
Benefits
- Flexible office model.