Senior Platform Engineer

Role :Senior Platform Engineer (MLOps / LLMOps) Experience :3 to 6 Years Location :Bangalore / Mumbai / Trivandrum (Hybrid)Job Summary: Join our dynamic team as aPlatform Engineerand leverage your expertise in production-scale platforms within theGenAI or ML domain . In this role, you'll be instrumental in developing and maintaining cutting-edge build and test environments for critical GenAI workloads running on foundational cloud infrastructure. You'll partner with architects to design and implement highly robust and scalable systems, while also providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale. We're seeking an engineer who champions Quantiphi's dedication toCloud-Native development , with a particular emphasis onKubernetes .Job Responsibilities:As aPlatform Engineer , you will play a pivotal role in designing, implementing, and optimizing our cutting-edge infrastructure. Your responsibilities will include: Implementing state-of-the-art GPU compute clustersto support critical workloads. Developing comprehensive automated testing strategies and frameworksacross unit, integration, API, and end-to-end levels for critical commerce flows. Ability to create robust performance testing frameworksto validate platform scalability, resilience, and identify optimization opportunities. Experience in developing comprehensive monitoring solutionswith alerting systems to track platform health and ensure SLA compliance. Building a scalable automation infrastructurethat supports growing platform capabilities with consistent test environments. Troubleshooting, diagnosing, and performing root cause analysisof system failures, isolating components and failure scenarios in collaboration with internal and external partners. Optimizing cluster operationsfor maximum reliability, efficiency, and performance.Job Requirements:We are seeking a highly skilled and passionatePlatform Engineerwith: Over 3 years of hands-on experiencein large-scaledirect experience building and deploying production-ready services on Kubernetes. A proven history ofengaging with and contributing to open-source projects . Acollaborative spirit , demonstrated by prior work developing scalable software solutions for cloud services. The ability toeffectively communicate complex technical designs and decisionswith internal team. Anunderstanding of GPU computing and AI infrastructure . A strongpassion for solving complex technical challengesand optimizing system performance. Working knowledge of cluster configuration management toolssuch as BCM or Ansible, and infrastructure-level applications including Kubernetes, Terraform, and MySQL. In-depth understanding of container technologieslike Docker and Containers. Proficiency in programming with Python and Bash scripting.Ways To Stand Out From The Crowd:Candidates who possess the following will be highly competitive: Significant experience with sophisticated infrastructure tooling , including Kubernetes Cluster API, Terraform, Helm, and Operator Framework. Practical, production-level experience across major cloud platforms : Azure Cloud, Google Cloud Platform (GCP), or Amazon Web Services (AWS). A strong track record ofsuccessfully refactoring and optimizing software for deployment within Kubernetes environments . Understanding of the CNCF landscapeand its associated tooling. The ability todecompose complex problems into simpler sub-problemsand leverage existing solutions for efficient implementation, along with designing simple, self-sustaining systems. Experience leveragingAI/ML to proactively detect and resolve incidents , automate alert triaging, perform log analysis, and streamline repetitive workflows.