Cloud Infrastructure Engineer Save

Position Overview

OpenReview is seeking a versatile Cloud Infrastructure Engineer to join us in a remote position to manage and optimize our cloud-based platform that serves the scientific research community. This remote, hybrid role combines cloud engineering, system administration, security, data engineering, and data analysis responsibilities. Candidates must be based in the United States and have valid authorization to work in the U.S.

Key Responsibilities

Cloud Infrastructure Management

• Manage and optimize our Google Cloud Platform environment, including Compute Engine instances, Vertex AI services, nginx web servers, MongoDB databases, Redis databases, and Elasticsearch clusters
• Implement,maintain, and analyze comprehensive logging, monitoring, and alerting systems across all services
• Optimize cloud resource utilization and costs to ensure efficient spending while maintaining performance standards
• Design and implement infrastructure as code practices for scalable and reproducible deployments
• Configure permissions using IAM

System Administration & Reliability

• Monitor and ensure platform performance and availability, especially during high-traffic conference submission periods (4-5 major conferences annually)
• Proactively identify and resolve performance bottlenecks before they impact users
• Maintain high availability and disaster recovery procedures
• Implement security best practices and ensure compliance with data protection requirements

Data Engineering & Migration

• Design and execute data migration strategies to support evolving schema requirements
• Ensure data consistency and integrity across all database systems
• Develop automated data validation and quality assurance processes
• Create and maintain data backup and recovery procedures
• Collaborate with development teams to optimize database performance and query efficiency
• ETL pipeline design and implementation to import data from external academic databases and conference systems, as well as export OpenReview data to publishers, repositories, and research platforms

Collaborative Support & Knowledge Transfer

• Work closely with the Engineering Lead to transition infrastructure responsibilities and gain deep understanding of existing systems
• Collaborate with development and support teams to troubleshoot and resolve user-reported issues
• Learn existing architectural decisions and operational procedures while contributing fresh perspective on improvements
• Participate in incident response and post-mortem analysis
• Document system architecture, procedures, and troubleshooting guides as you learn and improve systems

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent experience
• 3+ years of experience with cloud services such as Google Cloud Platform, AWS, Azure, etc.
• Strong experience with Linux system administration and command-line tools
• Experience with CI/CD pipeline management
• Knowledge of automated deployment strategies and release processes
• Strong experience with database administration, particularly MongoDB, Redis, and Elasticsearch
• Knowledge of web server configuration and optimization (nginx, load balancing)
• Experience with Redis configuration, clustering, and performance optimization
• Experience with infrastructure monitoring and logging tools
• Scripting skills in Python, Bash, or similar languages
• Understanding of data migration strategies and ETL processes

Preferred Qualifications

• Experience with Google Cloud administration
• Experience with machine learning platforms and Vertex AI
• Knowledge of academic publishing workflows and peer review processes
• Experience with high-traffic web applications and scaling challenges
• Experience with CI/CD pipelines in GitHub Actions
• Experience with cost optimization tools and cloud financial management
• Knowledge of data privacy regulations and compliance requirements
• Previous experience in academic or research-oriented environments

How to Apply:
Send your resume and a cover letter to [email protected].