Research Information Management Systems Engineer
2 weeks ago
Job OpportunityWe are looking for a skilled professional to take on a Backend Engineer role. This person will be responsible for developing and maintaining our Research Information Management System.This is a challenging opportunity that requires strong engineering fundamentals, experience with production Django systems, and the ability to work in a fast-paced environment.Key ResponsibilitiesDesign and implement a scalable API architecture for profiles, publications, analytics, media, and integrations.Ensure the system performs efficiently, has high uptime, optimal caching, and effective query patterns across all surfaces.Develop clean API design, versioning, error structures, and schema evolution.System Administration and DeploymentManage multi-stage environments (local / dev / stage / prod) with strict env-var and secrets hygiene.Oversee web, worker, beat, and Channels/WebSocket processes with stable static/media pipelines (S3/R2 + CDN).Implement secure release flows—including migrations, rollbacks, and safe deploy patterns.Data Layer OperationsAdminister and optimize PostgreSQL (indexing, tuning, migrations, backups, schema evolution).Maintain Redis and Celery with careful attention to queue health, worker reliability, and task monitoring.Implement observability: logs, metrics, alerts, performance tracking, and incident response loops.Integrations and External Research PipelinesOwn and maintain connectors for OpenAlex, Scopus, Clarivate, Google Books, and other scholarly data providers.Operate GenAI/OpenAI enrichment flows, OSync/Importer microservices, and maintain API keys/quotas safely.Ship new data integrations rapidly as product needs evolve.Governance, Security, and Access ControlSteward Django Admin, RBAC, API key systems, and request-scoping headers.Enforce security principles: secrets hygiene, least-privilege access, monitoring, and audit trails.Balance compliance needs with fast product iteration.Quality, Delivery, and Roadmap ExecutionWork closely with product to shape the roadmap, estimate features, plan releases, and manage trade-offs.Drive regression testing, release readiness checks, and post-release monitoring.Enable rapid delivery through lightweight QA cycles, safety nets, and iterative improvement.Documentation and Developer EnablementMaintain runbooks, onboarding guides, environment templates, and architectural diagrams.Document API usage patterns, scoping rules, versioning strategies, and error-handling best practices.Ensure knowledge sharing across engineering, design, and product teams.
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