About the job
The ideal candidate does not wait for tasks. You see a gap, propose a solution, build consensus, and drive it to production. You bring strong computer-science fundamentals — data structures, algorithms, systems thinking — and you are comfortable operating across layers, from database engine internals to developer-facing API surfaces. Critically, you are not just an ideas person: you think in concepts and architectures, but you also write excellent code and ship it yourself. You also enjoy working directly with customers: we are actively migrating large workloads from MongoDB to Oracle, and this role involves understanding real-world usage, guiding adoption, and feeding customer insights back into the product.
Responsibilities
Design and ship new AI-enabled document interfaces that extend Oracle’s multi-model story beyond today’s SQL/JSON and MongoDB-compatible surface.
Architect and implement capabilities in query processing, indexing, optimization, and execution for JSON workloads at scale. Performance is a first-class concern: you will profile, benchmark, and tune at every layer.
Drive compatibility and feature parity so customers can migrate production workloads from MongoDB to Oracle with confidence. Work hands-on with migration teams and customers to identify gaps and prioritize fixes.
Partner directly with customers migrating to Oracle, understand their workloads, advise on best practices, and channel field insights into product improvements. Support escalations alongside Developer Operations.
Contribute to full-text search, compiler/language-design components, and interoperability across relational and document data models.
Mentor engineers, raise the quality bar through design reviews, and help translate ambiguous requirements into shippable plans.
Qualifications
Minimum
Strong foundations in database internals: storage, query processing, indexing, transactions, or distributed consensus.
Deep concern for performance — you instinctively profile, measure, and optimize, and you have experience tuning systems for latency, throughput, or resource efficiency.
Excellent programming skills with strong command of data structures, algorithms, and systems-level thinking. Experience in Java is expected; C, C++, Rust, or other systems languages are a plus.
Experience with compilers, language design, or query-language implementation.
Solid understanding of SQL and at least one document/NoSQL query model.
Hands-on experience with one or more of: Oracle Database, MongoDB, PostgreSQL, DynamoDB, Elasticsearch/OpenSearch, or Lucene.
Comfort with ambiguity — you can take a vague customer need and turn it into a concrete technical proposal.
Self-directed; you lead projects, not just execute tickets.
Effective communicator — able to present ideas to peers, leadership, and customers. Comfortable engaging with enterprise customers on migration planning and technical adoption.
Preferred
Experience with full-text search engines or information retrieval (e.g., Lucene, Elasticsearch, OpenSearch) is a strong plus.