Cloud Infrastructure Engineer for AI-Powered Document Processing
2 days ago
Cloud Infrastructure Engineer for AI-Powered Document Processing
About Strative:We are a leading technology company leveraging cutting-edge AI to transform document processing. Our innovative approach requires an experienced Cloud Infrastructure Engineer to design and implement scalable cloud infrastructure.
Salary:$140,000 - $180,000 per year, based on experience and location.
Job Description:The successful candidate will work directly with our CTO to architect cost-efficient infrastructure using Infrastructure as Code (IaC) principles for high-volume document processing and Large Language Model (LLM) API integration. This foundational role offers rapid growth opportunities into our core technical leadership team.
Key Responsibilities:- Design and implement scalable document processing pipelines using Google Cloud Platform (GCP) services.
- Develop comprehensive IaC using Terraform to ensure efficient infrastructure deployment.
- Optimize cloud infrastructure for cost-effective LLM API usage and vector storage.
- Build secure API gateways and document storage solutions.
- Implement monitoring and observability for high-volume processing systems.
- Design asynchronous processing workflows with status tracking.
- Manage and optimize GCP services including Cloud Storage, Cloud Functions, and Cloud Run.
- Implement security controls and compliance measures for data protection.
- Create cost monitoring and optimization strategies.
- Establish CI/CD pipelines for reliable deployments.
- Enable comprehensive logging and monitoring systems.
- Collaborate with the CTO on infrastructure architecture decisions.
- At least 3 years of hands-on experience with GCP services.
- Strong knowledge of serverless computing (Cloud Functions, Cloud Run).
- Experience with document storage and processing at scale.
- Proficiency in API Gateway and load balancing configuration.
- Understanding of GCP cost optimization strategies.
- Strong experience with Terraform and IaC principles.
- Knowledge of CI/CD pipelines and deployment automation.
- Understanding of asynchronous processing architectures.
- Experience with high-volume data processing systems.
- Hands-on experience with IAM, VPCs, and security controls.
- Knowledge of data protection and compliance requirements.
- Experience with secure API design and implementation.
- Proficiency in Python for infrastructure automation.
- Experience with monitoring and observability tools.
- Knowledge of vector databases and storage solutions.
- GCP Professional Cloud Architect certification.
- Experience with LLM API integration and optimization.
- Knowledge of document processing architectures.
- Background in infrastructure cost optimization.
- Experience with enterprise-scale infrastructure.
- Familiarity with RAG systems and vector search.
- Understanding of batch processing systems.
- Track record of technical leadership.
- Competitive base compensation ($140,000 - $180,000 per year).
- Remote-first work environment.
- Fast-track to technical leadership role.
- Professional development opportunities.
- Work with cutting-edge AI technologies.
- Impact on core infrastructure decisions.
- Collaborative engineering culture.
- Direct collaboration with CTO.
- Opportunity to shape technical direction.
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