Principal Software Developer
Listed on 2026-02-28
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Software Development
Software Engineer, Cloud Engineer - Software, DevOps, Backend Developer
Job Description
Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks, etc.
At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for enterprises as a diverse team of creators and inventors. We act with the speed and attitude of a start‑up, not just in theory, but in practice, while maintaining the scale and customer‑focus of the leading enterprise software company in the world. OCI’s values are the foundation of how we deliver excellence, striving for equity, inclusion, and respect for all.
We are constantly learning and taking opportunities to grow our careers and ourselves. You are the builder here, part of a smart, motivated, and diverse team that is given the autonomy and support to do your best work in a dynamic and flexible workplace where you belong and are encouraged.
Be part of a great team building Data Platform inside Oracle Cloud Infrastructure (OCI), delivering Data Warehouse, Data Lake, Big Data, and Business Analytics Solutions a Consulting Member of Technical Staff, you will design, develop, troubleshoot, and own software programs for databases, applications and tools. We are looking for an experienced architect/principal engineer with 6‑10 years of relevant software development experience, who is hands‑on and understands the space.
ResponsibilitiesAs a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with developing, designing and debugging software applications or operating systems.
- Build a global‑scale, self‑service data platform for sourcing and ingesting petabytes of structured and unstructured data to address a wide range of analytical and modeling needs.
- Be very technically hands‑on and own/drive the end‑to‑end product. Experiment with compute, storage, and networking infrastructure, as appropriate, and optimize our operation across multiple dimensions: performance, reliability, cost, etc.
- Own the technical design, development, and test execution to demonstrate alignment with the functional specification.
- Develop and demonstrate a broad set of technology skills in Java technologies, micro‑service design patterns, relevant frameworks, and architectural concepts.
- Collaborate with teams of talented employees who have diverse and complementary skills. Mentor junior engineers and help them succeed in their assignments and careers.
- Work in an extremely fast‑paced and challenging, global environment.
- Work directly with all stakeholders to ensure newer capabilities are built applying the right design principles.
- Work with remote and geographically distributed teams to enable building the right products, using the right building blocks.
- BS/MS in Computer Science or related fields.
- 6‑10 years of successful distributed and scalable system software development experience, including exposure to a broad range of enterprise technologies – Java, J2EE, Web technologies, Machine Learning and Big Data technologies.
- Deep understanding of how distributed, resilient software is built and deployed.
- Prior experience in building, or contributing to, distributed data‑intensive systems.
- Experience delivering and operating large‑scale, highly available distributed systems.
- Experience with Git, Docker, CI/CD, RESTful web services, etc.
- Experience with monitoring/ logging/ observability tools (ex: Elasticsearch, Prometheus, Fluentd).
- Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills.
- Good organization, communication, and interpersonal skills. Experience with relational databases and building modern data pipelines.
- Hands‑on experience working with cloud technologies (OCI, AWS, Azure, GCP).
- Familiarity with Big Data components like Apache Spark, Apache Iceberg, etc.
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