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Oracle SCM Developer – AI-Focused SDLC Engineer

Astreya — United States · Posted ~8 hours ago

Mid Full-time Hybrid

Skills

Oracle SCM Cloud Oracle EBS AI-assisted software development AI-driven testing software architecture requirements analysis solution design AI SDLC

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Summary ✨ AI‑Generated

Join an enterprise engineering team as an Oracle SCM specialist who uses AI across requirements, architecture, coding, refactoring, testing, deployment, and support. You will modernize supply-chain applications, improve engineering quality, and help reduce delivery and testing effort.

Highlights

Full-time engineering role focused on modernizing enterprise supply-chain software with AI throughout the SDLC, with opportunities to improve delivery speed, quality, deployment, and testing efficiency.

Description

Job Title: Oracle SCM Developer – AI-Fueled SDLC Engineer Location: Atlanta, GA (On-site / Hybrid) Employment Type: Full-time (W2) Role Overview We are seeking an AI-First Engineer with deep Oracle Supply Chain Management (SCM) expertise to transform how enterprise SCM applications are designed, developed, tested, deployed, and supported. This role is tailored for an engineer who consistently leverages artificial intelligence technologies across the entire Software Development Lifecycle (SDLC) to drive measurable delivery outcomes—including reduced cycle times, higher code quality, accelerated deployments, and lower testing effort. Key Focus Areas & Responsibilities AI-Assisted Architecture & Design: Apply AI capabilities to accelerate requirements analysis, technical specification drafting, and solution design.AI Code Generation & Refactoring: Drive AI-powered development, refactoring, and modernization initiatives across Oracle SCM Cloud and Oracle EBS environments.AI-Driven Testing & QA: Leverage AI-assisted testing frameworks to streamline test automation, regression strategies, and quality assurance.DevOps & Operational Efficiency: Implement AI-enabled code reviews, automated documentation generation, and faster production issue resolution. Technical Qualifications Oracle SCM Expertise: Deep hands-on development and technical experience with Oracle SCM Cloud and/or Oracle EBS applications.AI Engineering Tools: Proficiency with GitHub Copilot, Agentic AI frameworks, Prompt Engineering, and Retrieval-Augmented Generation (RAG) patterns.SDLC Integration: Proven track record of adopting AI-assisted developer workflows to improve productivity, code quality, and software delivery pipelines.