Oracle believes in empowering people to do more, through world class capabilities in analytics. We are the Data Services team within Oracle Analytics, responsible for innovating, building, and supporting data service management technologies and capabilities that support our diverse portfolio of products.
Data Services organization mission is to provide an easy way to develop advanced analytical and AI applications combining data from across the entire Oracle ecosystem including Databases, Applications, and Object Storages. Data Services already provides a wide array of capabilities for data management and processing, through Big Data Service, Data Catalog, Data Flow, Data Integration Service, and Data Lake. However, customers must integrate and navigate through these services to implement their use cases such as Lakehouses, AI/ML model training, or BI dashboards.
We are building a new data product to give customers a single pane of glass where they can load and secure data, author (Py)Spark notebooks, define data feeds and pipelines, train ML models, query data with SQL and share data to others. Developer experience is a key part of the new data service, enabling enterprise customers to solve complex business problems in a productive way. We will be providing code assist experience to build data and AI projects faster, through context-aware AI assistant.
This is a great opportunity to join a team that is building a cutting-edge service from scratch. We are in aggressive growth journey with a team of highly energetic, technology savvy engineers and are looking to grow further to meet the demands of building a powerful data platform. You should be comfortable working in a fast-paced environment which requires agility, ability to adapt as priorities shift, and a passion to deliver high quality solutions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to contribute.
You’ll be responsible for, and lead efforts in, designing and building scalable, distributed, and resilient software components and services to support our new product. You’ve built and operated high-scale cloud infrastructure services and understand how to continuously improve the technology. You can balance feature delivery with iteration and incremental improvements.
This is a senior technical leadership position, and we expect you to think long term, mentor, and empower other engineers. As a technical leader on the team, you will own the complete software development lifecycle, from design, development, testing, to operating in production. You will take an active role in the definition and evolution of standard practices and procedures. Provide leadership and expertise in the development of new features and infrastructure, frequently operating at the leading edge of technology.
Responsibilities:
- Accountable for broad software design, code quality and architecture decisions.
- Lead and direct architecture discussions, design sessions and code reviews for functional correctness, architectural maintainability, and performance.
- Develop long-term technical roadmap for solution area.
- Code for high-risk projects that have solution dependencies within and outside current team.
- Analyze, understand and develop complex architectures, design and associated sub-systems.
- Ability to understand someone else’s complex code very quickly.
- Ability to multi-task and deal with changing priorities.
- Collaborate with multiple stakeholders such as Development leads, Product Management, Operations, Release Management to make, adopt and communicate technical decisions and shape the development and delivery of software.
Qualifications:
- BS/MS/PhD in Computer Science or related field, with 10+ years of professional experience.
- Excellent design and programming skills with expertise in Java, Python, SQL.
- Experience designing and building distributed systems.
- Experience building micro services on container orchestrator like Kubernetes.
- Solid understanding of designing systems for performance, efficiency, and availability with a strong customer focus.
- Strong work ethic, flexibility, and proven attention to quality and detail.
- Strong collaboration and communication skills.
- Excellent troubleshooting and performance tuning skills in a Cloud environment.
- Cloud development experience on one of the major platforms (Oracle, AWS, Azure, GCP).
- Big plus:
- Experience with Generative AI, LLM models, RAG.
- Experience with Search technologies.
- Experience with Code Generation Assisting technologies.
- Big Data skills with open source frameworks like Apache Spark.
- Experience working with Notebook technologies.
