Staff Systems Engineer, Oracle EBS, Integration
At a Glance
- Location
- San Francisco, CA, US; Remote, US
- Work Regime
- remote
- Experience
- 15+ years
- Department
- IT
- Posted
- 2026-07-29T16:32:19-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Finance
- Legal
- Medical
Requirements
15+ years of progressive experience designing, developing, integrating, and supporting Oracle EBS solutions in large-scale enterprise environments.
Strong hands-on experience developing Oracle EBS components, integrations using APIs, web services, middleware, and enterprise integration patterns.
Experience building or contributing to internal platform capabilities, such as Oracle MCP tools, reusable enterprise components, or AI-enabled engineering tools, is a plus.
Familiarity with AI-assisted development and enterprise AI use cases, with the ability to validate outputs and apply AI responsibly in regulated, business-critical environments.
Strong technical knowledge of SQL, PL/SQL, Oracle APIs, EBS extension frameworks, reporting tools, and related Oracle development technologies.
Experience with middleware and enterprise application architecture, including tools and frameworks such as Oracle SOA Suite, WebLogic, REST APIs, messaging systems, and cloud integration platforms.
Responsibilities
Design, build, and support scalable enterprise solutions across the Oracle EBS and Finance systems landscape, with a strong focus on technical architecture, integrations, and platform reliability.
Serve as a senior technical expert for Oracle EBS Financials, driving system design, development, customization, troubleshooting, and optimization across key finance workflows.
Lead the development and management of integrations between Oracle EBS and internal/external platforms using APIs, middleware, event-driven patterns, and cloud-native integration approaches.
Build and enhance finance-related services and integration components leveraging AWS and related cloud technologies to improve scalability, resilience, and operational efficiency.
Contribute to the development of in-house Oracle MCP and AI-powered components, enabling smarter automation, faster issue analysis, and improved engineering productivity within the fintech domain.
Apply AI thoughtfully as a force multiplier in engineering workflows such as system analysis, documentation, debugging, and automation, while maintaining strong technical judgment and accountability for final outputs.