Site Reliability Engineer

Cisco is hiring a Site Reliability Engineer in Bangalore.

Meet the Team Team Overview: Database Engineering & Automation We are a specialized team of software engineers dedicated to the orchestration, management, and automation of enterprise-grade database technologies. Our mission is to reduce operational friction and accelerate development cycles by providing robust, scalable, and automated database solutions across diverse data ecosystems. Core Competencies & Technical Scope

Responsibilities

• Plan and deploy scalable, cloud-native full-stack applications that integrate seamless AI-driven workflows into the core user experience.
• Engineer and optimize high-performance database schemas to support the intensive data requirements of real-time Agentic AI processing.
• Develop and maintain robust automation pipelines, reducing manual operational overhead through intelligent, self-healing system integrations.
• Bridge the gap between front-end interfaces and back-end AI models, ensuring low-latency communication and intuitive data visualization for end-users.
• Collaborate with cross-functional teams(DBA’s) to design and implement modular, reusable components that accelerate our transition toward a fully automated, AI-first infrastructure.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• Minimum of 2-3 years of professional experience in full-stack web development using tools Jira, service platform and frameworks such as Django, Python, FastAPI, Angular, or React, LangChain, Langsmith and LangGraph.
• Proven proficiency in managing and optimizing both relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases, including schema design and query performance tuning.
• Hands-on experience integrating AI/ML models or vector databases (e.g., Weaviate) into production-level applications.
• Demonstrated technical proficiency in DevOps practices, specifically deploying and managing containerized applications using Docker and Kubernetes within cloud environments.

Preferred qualifications

• Proven expertise in architecting and deploying end-to-end applications using modern Agentic AI frameworks, specifically LangChain, LangGraph, or MCP, with a demonstrated ability to integrate these models into production-grade environments.
• Advanced proficiency in full-stack development, combined with experience in automating CI/CD pipelines to streamline deployment workflows and improve system reliability.
• A highly collaborative mindset with the ability to translate complex technical concepts into clear, actionable insights for cross-functional stakeholders, ensuring alignment between business goals and technical execution.
• Strong analytical problem-solving skills, with a proactive approach to identifying operational bottlenecks and implementing innovative, automated solutions that drive efficiency and scalability.
• A commitment to continuous learning and technical agility, characterized by a track record of rapidly adopting emerging Generative AI technologies and applying them to solve unique, large-scale engineering challenges.

Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

About Cisco

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