Cisco Hiring DevOps Software Engineer

DevOps Software Engineer - Cisco
Location: Bangalore, India
Job Type: Professional
Technology Interest: Cloud & AI (DCN & Compute)

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Meet the Team

The Cisco Networking Tooling team develops and supports productivity tooling for Cisco Networking Operations and Engineering. Our team consists of highly skilled developers who collaborate to deliver an integrated tooling ecosystem for Operations, Product Management, and Engineering.

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Your Impact

We enhance efficiency, collaboration, resource management, innovation, and scalability by providing Engineering and Operations with agile and resilient tooling. This enables teams to achieve strategic goals and deliver value to stakeholders.

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Key Responsibilities

• Design, develop, and maintain full-stack applications using Node.js, React, Python, and modern cloud platforms (AWS, Azure, GCP).
• Integrate Generative AI models (LLMs, text/image/audio generation, etc.) into web applications.
• Optimize AI workflows and APIs for scalability, performance, and security.
• Work with LLM frameworks such as LangChain, LangGraph, Hugging Face & OpenAI API.
• Manage code versions and ensure collaborative coding practices using Git.
• Participate in CI/CD best practices and ensure proper cloud infrastructure management.
• Develop and manage RESTful and GraphQL APIs for AI model integration.
• Troubleshoot and resolve issues with cloud infrastructure and application code.
• Optimize code for performance, scalability, and maintainability.
• Collaborate with front-end and back-end developers, as well as data scientists and UX/UI designers.
• Conduct code reviews, testing, and performance optimizations.

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Minimum Qualifications

• Experience in Full Stack Engineering (Node.js, React, TypeScript, Python).
• Hands-on experience with Generative AI frameworks and APIs (e.g., OpenAI, Hugging Face).
• Strong knowledge of database technologies (MongoDB Atlas, SQL, NoSQL, PostgreSQL).
• Proficiency in cloud services (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Understanding of LLMs, model fine-tuning, and vector databases (e.g., Pinecone, FAISS, ChromaDB).
• Experience in MLOps and AI model deployment is a plus.
• Familiarity with Retrieval-Augmented Generation (RAG) pipelines.
• Knowledge of AI ethics, bias mitigation, and responsible AI development.
• Experience with GraphQL, WebSockets, and real-time applications.
• Strong communication skills and good knowledge of the English language.

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Preferred Qualifications

• Experience in Full Stack Engineering (Node.js, React, TypeScript, Python).
• Hands-on experience with Generative AI frameworks and APIs (e.g., OpenAI, Hugging Face).
• Strong knowledge of database technologies (MongoDB Atlas, SQL, NoSQL, PostgreSQL).

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