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Cisco Bangalore Full-time Fresher Not Disclosed Posted 2 days ago
Our team specialises in delivering high-impact Proof of Concepts (PoCs) for AI-driven and massively scalable data‑centre solutions. We work directly with customers to understand complex requirements and architectures, taking full ownership of system configuration and end‑to‑end PoC execution. In these engagements, we rigorously analyse any convergence related test case that doesn’t give expected result —drilling deep into protocols, system behaviour, and configuration to identify and resolve performance gaps. This enables us to deliver actionable optimisation insights, fine‑tuning recommendations, and design guidance that achieve lower convergence, low latency and superior performance. We perform thorough root‑cause analysis to ensure reliability and repeatable results, and collaborate closely with development engineering teams to track and resolve defects or enhancement requests, ensuring production‑ready outcomes.
AI Network Infrastructure Deployment Testing & Automation
At Cisco, innovation is part of our DNA. We are driven by the mission to create systems that enhance customer and user experience, ensuring every solution we deliver is rigorously tested and exceeds expectations.
We’re looking for engineers who are passionate about exploring emerging technologies, collaborating with senior architects, and delivering excellence that defines Cisco’s standards. Join us to shape the future of AI fabric networking and automation with creativity, precision, and purpose.
We are looking for inquisitive and passionate engineers who can develop and enhance Python‑based automation frameworks to provision and test scaled IP fabrics. Automate test result collection, and analysis workflows. Build and maintain automation scripts for configuring fabric switches. Integrate automated tests into CI/CD pipelines for continuous validation and deployment.
Contributes to the design and build of test frameworks and utilities needed to make the automation easier. Develops, modifies, and executes automated scripts and programs for quality assurance.
Create and maintain detailed test plans, automation documentation, and configuration templates.
Generate comprehensive test reports and performance summaries for engineering and management reviews.
Collaborate cross‑functionally with hardware, software, and AI platform teams to enhance fabric performance and reliability.