Note: The job is a remote job and is open to candidates in USA. Apolis is seeking an AI-First Engineer with deep Oracle SCM expertise to transform the design, development, testing, deployment, and support of Oracle SCM Cloud and/or Oracle EBS applications. The role applies AI technologies throughout the software development lifecycle, including requirements analysis, code generation, testing, DevOps, modernization, and operational support, while measuring improvements in delivery speed, quality, and productivity.
Responsibilities
- Leverage AI and LLM technologies to analyze business requirements, BRDs, user stories, process flows, and SCM functional specifications
- Generate technical designs, impact assessments, traceability matrices, solution alternatives, and effort estimates using AI-assisted workflows
- Utilize AI to accelerate fit-gap analysis and quarterly Oracle Cloud upgrade impact assessments
- Apply AI-driven knowledge discovery to reduce analysis and design cycle times
- Use GitHub Copilot, Oracle Code Assist, Agentic AI frameworks, and similar tools to accelerate development across PL/SQL, Java, JavaScript, Groovy, VBCS, OIC, and APEX
- Implement AI-assisted code generation, code optimization, refactoring, reverse engineering, and legacy modernization initiatives
- Develop Oracle SCM customizations, integrations, extensions, reports, and automation solutions using AI-enabled development practices
- Apply AI to automate integration mappings, API creation, report generation, and technical documentation
- Build AI-powered testing strategies covering functional, integration, regression, performance, and user acceptance testing
- Utilize AI for automated test case generation, test data creation, defect identification, and test maintenance
- Implement AI-enhanced regression testing frameworks to support Oracle Cloud quarterly releases
- Leverage AI tools for defect triage, root cause analysis, and predictive quality insights
- Integrate AI-assisted code reviews, security analysis, static code scanning, and quality gates into CI/CD pipelines
- Utilize AI to generate deployment documentation, release notes, implementation guides, and operational runbooks
- Apply AI-powered monitoring and analytics to assess Oracle quarterly release readiness and business impact
- Support AI-driven deployment automation and environment management practices
- GitHub Copilot
- Oracle Code Assist
- ChatGPT
- Claude
- Agentic AI frameworks
- OCI Generative AI
- Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications
- Ability to quantify and communicate outcomes from AI adoption, including: Development cycle time reduction; Improved code quality; Reduced defect rates; Reduced testing effort; Faster deployment cycles; Faster incident resolution; Increased developer productivity
Skills
- Deep Oracle SCM expertise
- Proven track record of applying AI across the entire Software Development Lifecycle (SDLC)
- Ability to demonstrate and quantify measurable business outcomes achieved through AI adoption
- Experience with AI-assisted requirements and solution design
- Experience with AI-driven code generation and refactoring
- Experience with AI-assisted testing, test automation, and regression strategies
- Experience with AI-enabled DevOps, code review, documentation generation, and operational support
- Experience with GitHub Copilot, Oracle Code Assist, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows
- Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications
Benefits
- Remote work – preferred Atlanta, Dallas, or New Jersey
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