The cloud is a strategic growth area for Oracle. We are committed to providing our customers with best-in-class cloud services, and with Oracle Cloud Infrastructure (OCI), we are leading the transformation with our hyper-scale, multi-tenant cloud, which is deployed in more than 35 regions worldwide.
Our Team
The Horizon team hosts the data lakehouse that OCI uses to collate, manage, and make sense of petabytes of engineering data. Our lakehouse is a core component of OCI, a self-service data platform that engineering teams and other internal partners use to inform decisions that affect nearly every aspect of the OCI business: engineering, support, operations, finance, and more.
Some of the main objectives of the Horizon platform are:
- Leverage big data technologies (e.g., Spark) to ingest, clean, and transform data.
- Provide advanced orchestration using a data lake-based approach.
- Manage both batch and real-time Change Data Capture (CDC) scenarios.
- Efficiently load and transform data into a data warehouse (DWH).
- Integrate with Oracle Autonomous Data Warehouse, object storage, and Oracle Data Catalog.
- Apply machine learning to generate insights and proactively address issues.
Your Opportunity
Apply your extensive technical expertise and architectural skills to evolve and scale the Horizon platform. You will solve difficult problems in distributed, highly available micro-services and virtualized infrastructure, leveraging DWH, Spark, and ML technologies.
Our Ideal Candidate
We are looking for a strong back-end engineer with a focus on data management, someone with a passion for solving difficult problems in distributed systems and highly available services. This is a critical lead role, so we’re looking for someone who’s a hands-on developer/architect, can manage a team of engineers to deliver product features on time and with high quality, works efficiently with other product groups, and can partner with other engineering leads to ensure that we’re building the right product and services.
Basic Qualifications
- BS/MS in Computer Science or related fields
- 8+ 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
- 2+ years of managing engineering teams building enterprise applications
- 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 at least one family of monitoring/logging/observability tools (ex: elasticsearch, prometheus, fluentd)
- Good software engineering skills:
- Understanding of simple and robust designs, including designing APIs
- How to write clean, testable, and maintainable code
- Write documentation
Preferred Qualifications
- Experience with Oracle suite of products including Oracle Database, Oracle Autonomous Data Warehouse, Oracle Application Cloud, Oracle Data Integration
- Hands-on operating systems experience (Unix, Linux)
- Hands-on experience working with cloud technologies (OCI, AWS, Azure, GCP)
- Familiarity with Big Data components like Apache Spark, Apache Hudi, etc.
Career Level - M3
Manage a team of talented employees who have diverse and complementary skills. Mentor junior engineers, and help make them successful in their assignments and their careers.
Own the technical design, development, and test execution to demonstrate alignment with the functional specification and achieve organizational goals.
Develop and demonstrate a broad set of technology skills in Java technologies, micro-service design patterns, relevant frameworks, and architectural concepts.
Build 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 Horizon’s operation across multiple dimensions: performance, reliability, cost, etc.
Work in an extremely fast-paced and challenging, global environment.
Work directly with architects to ensure newer capabilities are built applying right design principles.
Work with remote and geographically distributed teams to enable building the right products, using the right building blocks, and make them easily consumable by other products.
Ensure customer success by supporting issue analysis and fix activities during test phases, as well as production issue resolution.
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