Strative | Google Cloud Platform
1 day ago
Job Summary
We are seeking an experienced GCP Engineer to design and implement scalable cloud infrastructure for our AI-powered document processing platform. Working directly with the CTO, you will architect cost-efficient infrastructure using Infrastructure as Code (IaC) principles for high-volume document processing and 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 GCP services
- Develop comprehensive Infrastructure as Code (IaC) using Terraform
- Optimize cloud infrastructure for cost-efficient 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 CTO on infrastructure architecture decisions
Required Skills and Qualifications
GCP Expertise:
- 3+ years 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
- 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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Strative | Google Cloud Platform
1 day ago
india Strative Full timeJob SummaryWe are seeking an experienced GCP Engineer to design and implement scalable cloud infrastructure for our AI-powered document processing platform. Working directly with the CTO, you will architect cost-efficient infrastructure using Infrastructure as Code (IaC) principles for high-volume document processing and LLM API integration. This...
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Strative | Google Cloud Platform
1 day ago
india Strative Full timeJob Summary We are seeking an experienced GCP Engineer to design and implement scalable cloud infrastructure for our AI-powered document processing platform. Working directly with the CTO, you will architect cost-efficient infrastructure using Infrastructure as Code (IaC) principles for high-volume document processing and LLM API integration. This...
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