This is an engineering management position for someone with a strong software development background, experience shipping mission-critical production software, and the leadership skills to help engineers and teams grow. The manager will have direct technical impact on Oracle Database MLE through feature development, sustaining, release-line support, QA coordination, performance validation, and GraalVM upstream coordination. At the same time, they will help strengthen the Casablanca engineering organization by supporting local engineers, maintaining organizational standards, partnering with project leads, and building a strong local engineering culture.
The role also includes helping the team use modern AI-assisted engineering practices effectively and responsibly. The manager will help evolve standards for using agentic coding and AI across the software development lifecycle while preserving the rigor required for enterprise database software.
What you will do
- Lead and contribute to Oracle Database MLE engineering: directly manage MLE developers and actively contribute to feature development, sustaining, bug fixing, and release-line support for a shipping Oracle Database product feature.
- Drive execution and prioritization: balance roadmap work, customer-impacting issues, internal engineering needs, and release requirements.
- Own quality and release readiness: improve planning, code quality, testing, performance validation, regression prevention, and delivery predictability.
- Evolve AI-assisted engineering practices: define practical team standards for using agentic coding and AI across the software development lifecycle.
- Coordinate across Oracle engineering: work closely with Oracle Database QA, Release Engineering, Support, GraalVM, and partner development teams to resolve issues and deliver reliably.
- Support and grow the Casablanca engineering organization: provide local management support for engineers across Database Technologies projects, partner with dotted-line project managers, maintain local standards, coach engineers, and strengthen the local engineering culture.
Ideal candidate profile
The ideal candidate combines deep engineering credibility with strong people leadership. They have experience developing and shipping mission-critical production software, can engage senior engineers on architecture and technical tradeoffs, and are comfortable contributing directly to technically demanding work.
They can lead a product engineering team through ambiguity, delivery pressure, quality expectations, and cross-team dependencies, while also supporting a broader local engineering community. They should be able to represent the team effectively across Oracle’s global engineering organization, build a collaborative local culture, and help evolve modern engineering practices, including responsible use of AI-assisted development across the SDLC.
Required qualifications
- 8+ years of professional software engineering experience, including substantial work on complex production software.
- Prior experience managing or formally leading software engineers.
- Strong hands-on technical background in Java and C development.
- A good understanding of one or more of the following areas: systems programming, database systems, runtime systems, distributed systems, or comparable infrastructure software.
- Experience with coaching, feedback, performance management, career development, and delivery accountability.
- Ability to lead engineering work across feature development, sustaining, quality, and release delivery.
- Familiarity with agentic coding tools and practical uses of AI in the software development lifecycle.
- Strong communication skills and experience working with distributed engineering, QA, release, support, product, or partner teams.
Preferred qualifications
- Several years of direct engineering management experience.
- Experience as a player-coach or hands-on technical manager.
- Experience owning a product area across multiple releases.
- Experience with Oracle Database and/or GraalVM.
- Experience improving engineering standards for quality, test automation, performance testing, release readiness, sustaining, or AI-assisted development.
- Experience supporting engineers in a multi-site or matrixed organization.
#LI-Onsite
Career Level - M2