Google Cloud Platform

3 days ago


Delhi, India Strative Full time
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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