Senior Platform Engineer

As a Senior Platform Engineer in the AI/ML infrastructure and deep-tech industry, your role will be crucial in designing and scaling the foundational systems that power AI products. If you are passionate about building robust, efficient, and innovative ML infrastructure, we would love to have you join our core infrastructure team. You will be responsible for designing, building, and operating scalable ML & data infrastructure across on-prem and cloud environments (AWS/Azure/GCP). Your tasks will include: - Designing, building, and operating scalable ML & data infrastructure on on-prem and cloud platforms. - Setting up and automating multinode Kubernetes + GPU clusters, ensuring their health and cost-efficiency. - Creating CI/CD & MLOps pipelines for various workflows using tools like Kubeflow, Flyte, and Ray. - Collaborating with ML engineers to troubleshoot CUDA/K8s issues before production. - Advocating for IaC (Terraform/Pulumi) and config-as-code (Ansible) standards. - Mentoring developers on platform best practices and fostering a platform-first mindset. Qualifications Required: - 5+ years of experience in DevOps/SRE/Platform engineering, with at least 2 years working on ML infrastructure at scale. - Proficiency in Docker, Kubernetes, Helm, and other Kubernetes-native tooling. - Familiarity with distributed GPU scheduling, CUDA drivers, and networking. - Strong skills in Terraform/Pulumi, Ansible, and scripting languages like Bash/Python. - Experience in operating data lakes, high-availability databases, and object stores. - Knowledge of ML orchestration tools like Kubeflow, Flyte, and model registries. - Working understanding of RAG, LLM finetuning, or agentic frameworks is advantageous.,