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Kubernetes Platform Engineer - AI Infrastructure (8+ Years)

Cisco · Bangalore, India

Full-time Posted 4 days ago

About this role

<p><b>Meet the Team</b></p><p>You will be pivotal in contributing to the team responsible for designing and developing the next generation of scalable Kubernetes' infrastructure with machine learning platforms that support both traditional ML and state-of-the-art Large Language Models (LLMs). This is a position for experienced engineers where you will lead the technical direction, ensuring the performance, reliability, and scalability of AI systems while collaborating closely with data scientists, researchers, and other engineering teams.</p><p></p><p><b>Your Impact</b></p><p>You will take ownership of sophisticated & highly scalable Kubernetes Platforms for microservices workload. Your leadership will be pivotal in driving the adoption and integration of both established Kubernetes platforms and emerging AI/ML technologies

You will mentor junior engineers to reinforce the team’s core technical expertise, ensuring a strong foundation in traditional container orchestration as well as modern AI-driven solutions. This role is ideal for someone passionate about tackling engineering challenges in dynamic environments, with a commitment to delivering scalable, high-impact solutions that blend proven infrastructure methodologies with innovative AI/ML advancements.</p><p></p><p><b>Core Responsibilities</b></p><p>As a Platform Engineer with AI/ML Experience you will:</p><ul><li><p><span>Architect and evolve an enterprise-grade AIOps platform for Kubernetes-based environments.</span></p></li><li><p><span>Design intelligent agentic frameworks capable of ingesting signals from metrics, logs, events, and external systems</span></p></li><li><p><span>Define scalable architecture and framework for ML based subsystems for various data intensive tasks like Anomaly Detection, Predictive analysis</span></p></li><li><p><span>Participate in on-call rotations, contributing to round the clock support, owning production reliability and incident response.</span></p></li><li><p><span>Build a

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