Oracle

Compensation

Full Description

We are seeking a Senior Software Developer to work on the Backend of the next generation Oracle Health Clinical Applications. Help architect and operate the core services behind Oracle Health’s mission-critical platforms. You’ll design highly available, multi-tenant microservices and versioned enterprise APIs, engineer data models across SQL/NoSQL systems, and deliver rock-solid reliability at scale. From performance tuning and observability to security-by-design and automation-first operations, you’ll drive the backbone that enables AI-driven, innovative healthcare experiences worldwide Key responsibilities Design and implement microservices and service control-plane components Build enterprise-grade APIs with clear versioning and strong contracts Ensure HA/failover, scalability, and performance; lead load/perf tuning and capacity planning Implement data models and integrations across SQL/NoSQL, caches, and eventing Establish CI/CD, automated testing, metrics/logging/tracing, and SRE-aligned operations Champion security, compliance, and privacy-by-default practices Required qualifications BS in CS or related field (MS preferred) or equivalent experience 3+ years building distributed backend systems in cloud environments Expert in Java; plus experience with Node.js and/or Python is a plus Microservices frameworks: Spring, Micronaut, Helidon, Dropwizard API design/versioning; REST and/or GraphQL Data: RDBMS and NoSQL (Oracle, Postgres, MongoDB), Redis; plus Kafka/Elasticsearch is a plus Cloud and containers: OCI/AWS/Azure/GCP, Docker, Kubernetes, Helm; Linux DevOps and tooling: Git, Gradle/Maven, Jenkins/TeamCity; Terraform/IaC preferred Strong fundamentals: data structures, algorithms, OS, distributed systems, networking (TCP/IP, HTTP) Observability and reliability: logs, metrics, traces; blue/green, canary, and rollback strategies Preferred/bonus Knowledge of Oracle 23ai, vector databases, Snowflake, Cassandra Experience designing and operating public cloud service control planes Exposure to ML/AI services or platforms