Cloud Infrastructure Engineer for AI-Powered Document Processing

2 days ago


India Strative Full time
Job Title:

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.
Required Skills and Qualifications:GCP Expertise:
  • 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.
Infrastructure and Automation:
  • 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.
Security and Compliance:
  • Hands-on experience with IAM, VPCs, and security controls.
  • Knowledge of data protection and compliance requirements.
  • Experience with secure API design and implementation.
Technical Skills:
  • Proficiency in Python for infrastructure automation.
  • Experience with monitoring and observability tools.
  • Knowledge of vector databases and storage solutions.
Preferred Qualifications:
  • 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.
What We Offer:
  • 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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