Software Engineer​/Architect — AI JSON​/MongoDB

Software Engineer / Architect — AI JSON/MongoDB

United States

• Job Identification 330319
• Job Category Product Development
• Posting Date 05/08/2026, 05:39 PM
• Job Type Regular Employee
• Does this position require a security clearance? No
• Years 10+ years
• Additional Info Visa / work permit sponsorship is not available for this position
• Applicants are required to read, write, and speak the following languages English

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 Mongo

DB to Oracle, and this role involves understanding real-world usage, guiding adoption, and feeding customer insights back into the product.

Design and ship new AI-enabled document interfaces that extend Oracle’s multi-model story beyond today’s SQL/JSON and Mongo

DB-compatible surface.

Architect and implement capabilities in query processing, indexing, optimization, and execution for JSON workloads formance 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 Mongo

DB 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.

Most of the roadmap is new. You will shape products, not just patch them.

Oracle’s AI roadmap and OCI’s strength as a cloud for AI workloads give this team outsized impact on how developers build intelligent applications.

Oracle is making generational investments in AI infrastructure. This team is where that investment meets the data layer — a compelling place to build a career for the next decade.

The Oracle API for Mongo

DB is one-of-a-kind: full Mongo

DB wire-protocol compatibility backed by a converged, enterprise-grade engine. Few teams anywhere work on this kind of problem.

Features you build ship to one of the largest installed bases in enterprise software.

You will collaborate with engineers who have decades of database‑systems expertise.

We work with a fully AI‑enabled developer ecosystem:
Codex, AI‑assisted code review, and intelligent testing. You will build with the same AI technologies you are building for.

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/No

SQL query model.

Hands‑on experience with one or more of:
Oracle Database, Mongo

DB, Postgre

SQL, Dynamo

DB,…