Home Jobs OpenReview Is Growing — We’re Hiring a Cloud Infrastructure Engineer

OpenReview Is Growing — We’re Hiring a Cloud Infrastructure Engineer

We're cross posting for our colleagues at OpenReview

---

As OpenReview continues to expand its reach and impact across the global research community, we’re excited to announce a new opportunity to join our team: Cloud Infrastructure Engineer (Remote).

Over the past decade, OpenReview has become a cornerstone of modern scientific publishing, supporting the peer review workflows for thousands of venues — including nearly every flagship conference in artificial intelligence. With more than 2 million active monthly users and continuous year-over-year growth, we’re scaling our systems and our team to meet the demands of this vibrant community.

This new position reflects both our success and our commitment to excellence in reliability, security, and open infrastructure. OpenReview runs lean, but we run strong — powered by a collaborative, mission-driven team that values innovation, transparency, and service to the research community. Joining OpenReview means working closely with talented engineers and scientists who are passionate about building technology that makes science more open and fair.

If you’re excited by the idea of scaling infrastructure that directly supports the world’s leading AI conferences — and doing so in a supportive, purpose-driven environment — we’d love to hear from you.

Job Opening: OpenReview Cloud Infrastructure Engineer

Organization Overview

OpenReview is a mission-driven nonprofit that develops and deploys cutting-edge technology driving the peer review workflow for scientific conferences, workshops, and journals––including the majority of flagship venues in artificial intelligence such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, TMLR, and many more.

OpenReview’s broader mission is to revolutionize scientific communication by providing innovative and extensible mechanisms transforming peer review, assessment, mentorship, discussion, and discovery. OpenReview has had a significant impact on open science, responsible use of AI in peer review, and fairness in scientific discourse.

OpenReview was launched in 2013, and has nearly doubled in usage and impact every year. In 2025 we have over 2 million active monthly users, and will serve over 3000 scientific publishing venues. Our fully-remote 10-person team is collaborative, engaged, service-minded, and growing.

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

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
  • Travel twice per year to a work-week-long in-person team strategic planning retreat.

Other Duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Compensation:

The starting pay range for this remote role is $120,000 to $150,000 . Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. Historically most years all employees also receive a yearly bonus.

How to Apply:

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