Job Opportunities API

ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are building a high-scale payment orchestration platform that processes millions of financial transactions every month across multiple providers, regions, and products. We are looking for an experienced OpenSearch Engineer to own and scale our AWS OpenSearch infrastructure and the pipelines that synchronize data from PostgreSQL. You will be responsible for search architecture, data ingestion, performance, reliability, reconciliation, and recovery. The role combines search infrastructure, data engineering, and production operations. KEY RESPONSIBILITIES OpenSearch - Own and operate AWS OpenSearch Service in production. - Design indices, mappings, analyzers, templates, aliases, shards, and retention policies. - Optimize search queries, aggregations, filtering, pagination, and bulk indexing. - Investigate slow queries, indexing bottlenecks, hot shards, memory pressure, and rejected requests. - Plan safe upgrades, migrations, reindexing, and capacity scaling. PostgreSQL-to-OpenSearch pipelines - Build and maintain reliable pipelines that synchronize PostgreSQL data with OpenSearch. - Support inserts, updates, deletes, backfills, and full reindexing. - Use AWS-native services such as AWS DMS, OpenSearch Ingestion, Lambda, SQS, S3, ECS, or EKS where appropriate. - Implement retries, idempotency, deduplication, replay, dead-letter handling, and failure recovery. - Monitor ingestion lag, throughput, failed records, and data freshness. - Build reconciliation processes to detect and repair missing, stale, or inconsistent documents. - Ensure ingestion does not negatively affect the transactional PostgreSQL workload. Reliability and operations - Monitor cluster health, search latency, indexing latency, storage, CPU, JVM pressure, and shard distribution. - Build CloudWatch dashboards, alerts, and operational runbooks. - Design snapshot, restore, backup, and disaster-recovery procedures. - Participate in production incident response and root-cause analysis. - Implement secure access using IAM, role-based access control, encryption, and least-privilege principles. Collaboration - Work closely with backend, database, infrastructure, and product teams. - Help design efficient OpenSearch document models for payments, customers, subscriptions, and transactions. - Define standards for searchable fields, schema changes, and index versioning. - Document architecture, data flows, and recovery procedures. QUALIFICATIONS - Strong production experience with OpenSearch or Elasticsearch. - Hands-on experience with AWS OpenSearch Service. - Experience building data pipelines between PostgreSQL and OpenSearch. - Strong understanding of: - Index and shard design - Mappings and analyzers - OpenSearch Query DSL - Aggregations, sorting, filtering, and pagination - Bulk indexing and cluster performance - Data consistency, retries, idempotency, and replay - Experience with large datasets and high indexing or query volumes. - Experience performing backfills and reindexing safely. - Strong troubleshooting and production-operations skills. NICE TO HAVE - Experience with AWS DMS or OpenSearch Ingestion. - Experience with Lambda, SQS, S3, ECS, EKS, or Terraform. - Experience building custom ingestion services in Go, Java, or Python. - Experience in payments, billing, fintech, or subscription systems. - Experience with multi-tenant or high-volume search platforms. - Familiarity with ClickHouse, Tinybird, or similar analytical