rdbms jobs in San Diego

Senior SW Development Engineer on the Platform Service team will design and build low-latency, fault-tolerant cloud-based APIs and web applications for healthcare data delivery, customer onboarding, and hospital/partner integrations. You'll work full-stack across frontend and backend systems in a distributed, containerized environment, participate in technical design and architecture decisions, and support product teams in gathering requirements and resolving issues.…See more Expected skills include proficiency in languages like Java, Kotlin, TypeScript, or Scala; cloud platforms (AWS, Azure, GCP); modern auth frameworks (OAuth 2.0, OpenID, SAML); NoSQL and relational databases; Kubernetes and CI/CD pipelines; and comfort with on-call responsibilities.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices while providing technical mentorship in PySpark, SQL, dbt, and Fivetran. Design and optimize scalable, reliable data infrastructure across cloud and on-premise ecosystems (AWS, GCP, Azure) using Databricks, BigQuery, and Snowflake.…See more Manage end-to-end data sourcing, processing, integration, and delivery projects to meet business objectives and predetermined success criteria. Require 10+ years managing Data Engineering teams and 7+ years working with cloud-native data platforms and advanced SQL/Python/PySpark expertise.

Staff Software Engineer at Art of Problem Solving, responsible for driving full-stack web development using TypeScript, React, Next.js, and PostgreSQL. The role involves architecting modern platforms, refactoring legacy systems, mentoring junior engineers, and providing technical leadership on product strategy.…See more Requires 4+ years of professional experience in full-stack web development, deep JavaScript expertise, and a proven track record of owning large projects and building consumer-facing products.

Staff Engineer II leads the enterprise observability platform as technical SME for Elasticsearch, Kibana, Logstash, and supporting infrastructure. Responsibilities include designing and optimizing Elasticsearch index templates, data lifecycle management policies, and shard allocation strategies; engineering Logstash data ingestion pipelines with log parsing and transformation; managing Azure monitoring services including Log Analytics Workspaces and Event Hubs; and developing Ansible automation for deployment and configuration management across Linux/Unix environments.…See more The role requires 7+ years in IT App Support, IT Development, IT Networking, or similar; a bachelor's degree; proficiency in Elasticsearch, Kibana, Logstash, KQL, Bash, and PowerShell/Azure CLI; and proven leadership experience managing cross-functional teams and multiple projects simultaneously.