Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4368265202&distance=25.0&f_AL=true&f_TPR=r3600&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&spellCorrectionEnabled=true&start=200 Job Description: OpenReview Share Show more options Cloud Infrastructure Engineer United States · 13 minutes ago · 10 applicants No response insights available yet $120K/yr - $150K/yr Remote Matches your job preferences, workplace type is Remote. Full-time Matches your job preferences, job type is Full-time. Easy Apply Save Save Cloud Infrastructure Engineer at OpenReview Cloud Infrastructure Engineer OpenReview · United States (Remote) Easy Apply Save Save Cloud Infrastructure Engineer at OpenReview Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job 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. 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 jobs@openreview.net. Job search faster with Premium