Strative | Google Cloud Platform

1 day ago


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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