We’re looking for a highly adaptable software engineer with expertise in designing, developing, and implementing OCI cloud solutions in distributed systems and data processing platforms. The ideal candidate will have strong programming skills in Java, JEE, REST, Spring, Hibernate/EclipseLink, JDBC, and a deep understanding of Docker, Kubernetes, Spring Boot & Microservices. Knowledge of Cloud Infra development, Terraform, and scripting is an added advantage.

Our Team: Oracle Analytics Cloud (OAC) is a fully managed cloud-based BI and analytics platform designed to provide self-service data access, data enrichment, business scenario modelling , and enterprise reporting. OAC is building a Gen2 cloud data management platform, integrating AI-driven data services such as Cloud Data Catalog, Cloud Data Integration, and Data Access.

Your Opportunity: OAC values innovation, iteration, and customer feedback to build future-ready solutions. As a software engineer, you will collaborate with top industry minds, solving high-scale challenges and contributing to the evolution of data connectivity solutions. Your role will involve development, design, and execution of cutting-edge data services.

 

Your Responsibilities:

Design and develop robust, scalable, and high-performance data connectors for diverse data systems, including relational (Oracle, MySQL, PostgreSQL, SQL Server), non-relational (MongoDB, Cassandra, DynamoDB), NoSQL, and file-based sources (S3, HDFS, Google Cloud Storage). Architect and implement connectors for enterprise applications such as SAP, Salesforce, Workday, ServiceNow, and other SaaS platforms, ensuring seamless data integration and interoperability. Develop efficient and optimized data ingestion and transformation pipelines to support real-time, batch, and event-driven data flows using Spark, Kafka, and OCI Data Flow. Apply microservices architecture principles to build modular, reusable, and extensible connector frameworks that support dynamic schema evolution and high-throughput data movement. Ensure security, compliance, and data governance best practices in connector design, leveraging authentication protocols such as OAuth, SAML, and API security mechanisms. Work directly with architects to design newer capabilities, ensuring connectors are highly available, performant, and scalable. Collaborate with geographically distributed teams to deliver high-quality software components that integrate seamlessly with Oracle’s cloud ecosystem. Troubleshoot and optimize data transfer performance, addressing bottlenecks and implementing caching, batching, and parallel processing strategies. Stay updated with emerging trends in data integration technologies, connector frameworks, and cloud-native development.

Your Qualifications:

BS/MS/PhD in Computer Science or a related field. Minimum 8 years of relevant experience in software engineering and data integration. Strong programming skills in Java and deep understanding of data integration paradigms. Experience with REST API development and familiarity with GraphQL, gRPC, and SOAP. Expertise in JDBC, ODBC, and native SDKs for various databases and enterprise applications. Hands-on experience with Spring Boot, Hibernate, and microservices-based architectures. Familiarity with containerization technologies (Docker, Kubernetes) and cloud orchestration. Knowledge of Terraform and Infrastructure as Code (IaC) principles. Strong problem-solving and analytical skills, with the ability to diagnose and resolve complex data integration challenges. Understanding of Agile development methodologies and CI/CD pipelines. Experience with Apache Spark, Kafka, or other streaming and distributed processing frameworks is a plus. Prior experience in developing data connectors or middleware solutions is an added advantage.

 

Career Level - IC4