Cisco Software Engineer Jobs Bengaluru | 14+ LPA

Software Engineer (AI & CI/CD Platform) at Cisco

📍 Bengaluru, India 💰 ₹14.0 - 22.0 LPA 🎓 B.E/B.Tech (CS/IT)

📅 Posted: August 23, 2026 ⏳ Deadline: Apply ASAP (Rolling Basis) Join our WhatsApp Channel for Daily Exclusive Job Updates

🏢 About Cisco & The Engineering Team

For over 40 years, Cisco Systems, Inc. has been revolutionizing the way the world connects, communicates, and collaborates. As a global behemoth in IT, networking, and cybersecurity, Cisco operates at a scale that few companies can fathom—powering the very infrastructure of the modern internet. In recent years, Cisco has dynamically shifted from a hardware-centric networking giant to a powerhouse in software-defined networking (SDN), artificial intelligence (AI), and enterprise cybersecurity solutions.

The newly formed team you will be joining sits within the Engineering Systems division of Cisco Collaboration . This specific group is on a high-stakes mission to redefine developer experience (DevEx) internally. You aren’t just building features for a product; you are architecting a modern, AI-native CI/CD (Continuous Integration and Continuous Deployment) and release automation platform. This platform will serve as the backbone for engineering teams across Cisco’s massive enterprise environment. It will enable thousands of developers to build, test, publish, and deploy software via a unified, Git-driven workflow—integrating secrets in HashiCorp Vault, deployment automation in Kubernetes, and robust configuration management.

⭐ 4.2/5 Glassdoor Rating 👨‍💻 83,000+ Global Employees 🌐 Fortune 100 Leader

📝 Role

Software Engineer (Full Stack)

💰 Salary

₹14 - 22 LPA (Est.)

🕒 Work Mode

Hybrid - Bengaluru

🏢 Job ID

2020969

✅ Eligibility & Requirements

• Degree: Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
• Experience: 1 to 3 years of proven experience writing professional production code and tests for large-scale systems.
• Tech Stack Experience: 1-3 years of full-stack expertise specifically utilizing Java/Spring Boot for the backend and React, Angular, or Vue.js for frontend development.
• Database Knowledge: Capable of implementing efficient database designs, schema migrations, and optimizing query performance in relational databases (MySQL, PostgreSQL).
• Agile & AI Adoption: Comfort using AI-assisted development tools (like Cursor, GitHub Copilot, Codex) across the entire Agile SDLC—from requirements gathering to deployment.

📝 Key Responsibilities

• Full-Stack Development: Architect and build a comprehensive web application for a new CI/CD platform that tracks pipeline states, release workflows, and deployment visibility.
• AI Integration: Contribute to AI-native platform capabilities. You will develop MCP servers and AI agents capable of detecting deployment failures, recommending automated rollbacks, and guiding operators through complex troubleshooting.
• Infrastructure as Code: Deploy and maintain platform services in a live production environment using modern GitOps practices, Kubernetes, and major cloud infrastructure (AWS/Azure/GCP).
• Testing & Quality Assurance: Write rigorous unit and end-to-end (E2E) tests for critical CI/CD workflows. Quality validation of AI-assisted code output is a high priority.
• Performance Optimization: Monitor and optimize system performance under production load by profiling services, tuning REST APIs, and refining database configurations.

🚀 Deep Dive: Industry Trends & Career Growth

The Evolution of CI/CD & AI-Native DevOps

The software engineering landscape is currently undergoing a massive paradigm shift. Traditional Continuous Integration and Continuous Deployment (CI/CD) pipelines, which once relied heavily on manual intervention and static shell scripts, are rapidly evolving into intelligent, self-healing platforms. The integration of AI-assisted development tools (such as Cursor, Codex, and specialized LLMs) into the Software Development Life Cycle (SDLC) is no longer a luxury—it is a critical requirement for scaling enterprise applications. In this role at Cisco, you won’t just be using these tools; you will be building the infrastructure that integrates them. By developing Model Context Protocol (MCP) servers and AI agents that can auto-detect deployment anomalies and trigger rollbacks, you are directly contributing to the future of …