Infrastructure Architect

We are seeking an Infrastructure Architect and Deployment Specialist, responsible for planning, designing, and implementing robust infrastructure setups for both staging and production environments. The ideal candidate will have a strong understanding of infrastructure requirements, networking, security, deployment automation, and AI development environments. 

Key Responsibilities:

1. Infrastructure Planning and Design:
   - Assess requirements for compute, storage, network, and security.
   - Design infrastructure layout ensuring high availability and disaster recovery.
   - Select suitable data center providers meeting operational needs and compliance standards.
   - Provide on-prem managed hosting services with adherence to SLAs.

2. Network Setup:
   - Configure internal networking, subnets, firewalls, and routing.
   - Establish robust external connectivity for API access and user connectivity.
   - Define connectivity to necessary cloud services (e.g. Google Tesseract, OpenAI, etc.).

3. Server and Hardware Setup:
   - Provision servers according to specified requirements.
   - Configure storage solutions optimized for performance and cost.
   - Set up necessary databases and backup systems.

4. Security Implementation:
   - Install firewalls, IDS/IPS systems for network protection.
   - Implement data encryption at rest and in transit.
   - Ensure compliance with industry standards and data protection laws.

5. Software and Platform Setup:
   - Install and configure operating systems, build & release agents, and application pools.
   - Set up HTTPS protocols and container orchestration using Kubernetes.
   - Install and configure databases ensuring replication, backups, and failover systems.

6. Deployment Automation:
   - Set up CI/CD pipelines using GitHub Actions for automated testing and deployment.
   - Define GIT branching policy and enforce pull request approval process.
   - Implement Infrastructure as Code (IaC) using tools like Terraform or Ansible.

7. Monitoring and Maintenance:
   - Implement monitoring tools and centralized logging solutions.
   - Set up automated alerts for critical system aspects.
   
8. API and Microservices Deployment:
   - Configure API gateway for effective management and authentication.
   - Deploy and configure microservices, integrating with APIs and frontend.

9. Prepare Environment for AI Development:
   - Set up servers/environments for AI and LLM model development.
   - Ensure secure and efficient data access for AI training.
   - Manage Python code hosting and integration with the application.

10. Documentation and Training:
    - Create detailed documentation of architecture and setup procedures.
    - Provide training to operational teams on system management and troubleshooting.

Server Requirements:

Production (7 Servers):
- (2) Web Servers
- (2) App Servers
- (1) Vector DB Server
- (1) Local LLM Server
- (1) Postgres DB Server

Staging (5 Servers):
- (1) Web Server
- (1) App Server
- (1) Vector DB Server
- (1) Local LLM Server
- (1) Postgres DB Server

Qualifications:

- Bachelor’s degree in Computer Science, Information Technology, or related field.
- Strong experience in infrastructure planning, deployment, and automation.
- Proficiency in networking, security, and deployment tools.
- Experience with AI development environments and microservices architecture.
- Excellent documentation and communication skills.

If you’re passionate about designing and implementing scalable and secure infrastructure setups, and you thrive in a dynamic environment, we’d love to hear from you! 😎💪