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!