About Simplismart A bit about our product - Simplismart is an MLOps platform with 3 major suites: Training suite : Assemble and train any model, including LLMs, vision, audio, tabular, and tree models. Deployment suite : Most companies fail to make models production-ready. Our proprietary model deployment suite is 6x faster than HuggingFace’s enterprise suite and 12x faster than replicate.ai . Users can easily deploy (auto-scale) models trained on Simplismart (more optimised), import any model from HuggingFace, or even a Pytorch/Tensorflow artefact: Tensorflow, Pytorch, ONNX, JAX. Observability suite : Monitor model health, including load, latency, uptime, data drift, and concept drift. Position Overview: As a Cloud Engineer, you will contribute to building a highly available, global, multi-cloud PaaS platform using open-source technologies to support Simplismart’s rapid growth. This system encompasses diverse environments (Kubernetes, VMs, bare metal compute) and provides a cohesive and reliable abstraction for running AI workloads. You will be able to work with cutting-edge technologies and solve complex problems. To be successful in this role, you need to be deeply technical, possess strong communication and collaboration skills, and have experience in infrastructure-as-code. Proficiency with tools like Terraform and Ansible and strong software development fundamentals is essential. Additionally, you should have a good understanding of systems knowledge and troubleshooting abilities. Requirements: 1-2 years of experience writing high-performance, well-tested, production-quality code and platform engineering. Proficiency in at least one backend programming language (Python desired; C++ is a plus) Demonstrated experience with high-performance or distributed cloud microservices architectures. Ideally, you should have experience building and operating globally using multiple cloud providers such as AWS, Azure, or GCP. A good understanding of low-level operating systems concepts, including multi-threading, memory management, networking and storage, performance, and scale. Pragmatic, methodical, well-organized, detail-oriented, and self-starting. Experience with Kubernetes, containerization, Terraform and Ansible. Experience with Pytorch or Tensorflow is a plus. (not necessary) Knowledge of GPU programming, NCCL and CUDA is a plus. Responsibilities: Designing the high-level architecture of the MLOps platform from the ground up. Handling formalisation of diverse GPU-based workloads. Developing a robust internal system for continuous deployment of various services and modules in diverse environments. Create frameworks for reliable and fault tolerant systems for mission-critical workloads. Skills and Attributes: Deep technical expertise. Strong communication and collaboration skills. Experience in infrastructure-as-code (Terraform, Ansible). Strong software development fundamentals. Good systems knowledge and troubleshooting abilities. Ability to work independently and as part of a team. Proactive and self-motivated. Why should you join SimpliSmart? Well, let's break away from the conventional perks and instead focus on what you WON’T experience here: Legacy System Headaches: You won't have to endlessly grapple with outdated legacy systems that hinder your productivity and creativity. Bossy Culture: At SimpliSmart, we believe in collaboration and empowerment, not hierarchy. You won't have a boss breathing down your neck but instead, colleagues who support your growth. Dark Circles: Late nights and overwork are not the norm here. We prioritize work-life balance, ensuring you won't be sporting those tired, dark circles under your eyes. Stagnation: Say goodbye to redundant and stagnant tasks. We thrive on innovation and dynamic challenges that keep you engaged and motivated.