What are the responsibilities and job description for the Cloud Engineer position at Haystack?
We're working with a visionary electric vehicle manufacturer dedicated to pioneering sustainable transportation solutions and pushing the boundaries of automotive innovation.
The Role
The Role
- Design, operate, and continuously improve multi-cloud infrastructure, focusing on Google Cloud Platform expansion and existing AWS environments.
- Leverage AI tools and technologies to deliver cloud solutions that optimize performance and cost for cloud workloads.
- Secure and operate 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.
- 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).
- Opportunity to contribute to a sustainable future.
- Comprehensive benefits package for full-time employees.
- Potential for annual performance bonus and equity awards.
- Engage with cutting-edge AI/ML technologies and cloud platforms.
Salary : $97,700 - $122,100