Early Career Cloud Engineer

A pioneering company is building the future of sustainable transportation and energy, creating innovative electric adventure vehicles and advanced charging solutions. They are expanding their cutting\-edge multi\-cloud infrastructure and seeking passionate individuals to contribute to their mission. The Role * Design, operate, and continuously improve multi\-cloud infrastructure with a focus on Google Cloud Platform and AWS environments. * Leverage AI tools and technologies to deliver cloud solutions that optimize performance and cost. * Operate and secure core networking, accounts, and workload identities (IAM/SSO) in Google Cloud Platform. * Enable and operationalize cloud services to support AI/ML and LLM workloads, including AWS Bedrock and Google Cloud Platform AI platforms. * Automate infrastructure end\-to\-end using Terraform (IaC), AWX/Ansible, and CI/CD best practices. * Maintain and troubleshoot critical workloads, including EKS/Kubernetes environments, HPC clusters, and large\-scale storage. What You'll Need * Growth mindset with the ability to evaluate and learn new technologies quickly. * Hands\-on experience operating production workloads on Google Cloud Platform (AWS is a plus). * Expertise in Infrastructure\-as\-Code (Cloud Formation, CDK, Terraform) and configuration management (Ansible/AWX). * Strong knowledge of core Google Cloud Platform services (GKE, networking, Vertex AI/Gemini). * Practical experience with observability tools (e.g., Datadog) and strong debugging skills across distributed systems. * Proficiency in a modern programming or scripting language for tooling and automation (e.g., Python, Go). What's On Offer * Opportunity to work on mission\-critical cloud workloads in a multi\-cloud environment. * Engage with cutting\-edge AI/LLM technologies. * Contribute to a company dedicated to environmental sustainability. * Comprehensive benefits package including medical, dental, vision, 401(k), and potential equity awards. Apply via Haystack today!