An employer is seeking a Cloud Engineer to join their team. This role focuses on operating and improving multi-cloud infrastructure, with an emphasis on Google Cloud Platform and AI/LLM enabled workloads, alongside an existing AWS environment. This is a hands-on, operations-focused position that drives infrastructure automation, security, observability, and cost optimization for critical cloud workloads.
- Leverage AI tools and technologies to deliver cloud solutions that enable teams to operate cloud workloads that are performance and cost optimized.
- 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
- 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).
- Proficiency in a modern programming or scripting language for tooling and automation (e.g., Python, Go).
What's On Offer
- Salary Range: $97,700 - $122,100 per year.
- Comprehensive benefits package for full-time employees, including paid vacation, sick leave, and a competitive portfolio of insurance benefits.
- Opportunity to participate in a 401(k) Plan and Employee Stock Purchase Program if eligibility requirements are met.
Apply via Haystack today!