At Umbo Computer Vision, the infrastructure engineer is a special position that helps us improve reliability, performance, efficiency, and scalability of our services. Infrastructure engineers work with our application engineers throughout the whole lifecycle of our products – from architecture design and review, through implementation, to operation. As an infrastructure engineer, you will gain an in-depth understanding of our systems, and provide insights into potential failures and continual improvement.
You'll be joining a company full of fellow creative engineers at Umbo CV. We design cloud-native applications and deliver cutting-edge AI technologies all atop world-class infrastructure. Our infrastructure team plays a crucial role in our engineering processes. We are looking for talented engineers who aren't afraid of taking up the challenges of DevOps and cloud technologies, processes, and tools to improve our infrastructure and services.
What you'll be doing:
Design and develop internal tools to improve automation, efficiency, and transparency, such as: CI/CD pipelines, logging, monitoring and alerting for our micro-services.
Help design infrastructures for scalability, reliability, high availability, as well as good software maintenance and operational experience.
Help our developers adopt cloud-native designs.
Share operation duties with our engineers. And contribute to incident responses and no-blame postmortem analysis and review.
What you'll need: BS in Computer Science/Engineering or related experiences Ability to work with container technologies like Docker Familiar with one of Python, Golang, and shell scripts Experience with public clouds like AWS or GCP Experience of developing and running applications on a cloud Pluses: Experience with Kubernetes CI/CD experience with Jenkins Experience with Packer and Terraform Experience with configuration management such as Ansible and SaltStack Experience with operating GPU workloads on Kubernetes Experience with machine learning tools such as PyTorch and Tensorflow Experience with machine learning pipeline design or implementation