Oracle Database Automation Engineer

Quick Facts

• Role: Oracle Database Automation Engineer

• Focus: Enterprise automation for Oracle database infrastructure and production-safe autonomous agent frameworks

Description

Design and build scalable automation at scale for Dell database infrastructure. Collaborate with database engineers to architect, standardize, and manage highly available, secure, scalable, resilient global database platforms. Create agentic AI frameworks for reasoning, planning, multi-step execution, diagnostics, and autonomous tool use, with rigorous testing and safety guardrails including human-in-the-loop escalation.

Responsibilities

• Design and deliver scalable agentic AI frameworks for Oracle Database services, including reasoning, planning, and autonomous diagnostics/tool use

• Establish testing, tracing, evaluation suites, and production safety guardrails with human-in-the-loop escalation paths

• Implement Infrastructure as Code using Ansible to standardize OS hardening, storage provisioning via REST APIs, credential injection, and fleet-wide configuration enforcement

• Build and maintain GitLab CI/CD pipelines and reusable templates to support multi-stage deployments and promotion workflows across production environments

Requirements

• 5+ years of experience with Oracle database technologies (RAC, ASM, DataGuard)

• Ability to implement Infrastructure as Code across the full server lifecycle (OS hardening, storage provisioning via REST APIs, credential injection, fleet-wide configuration enforcement) driven by version-controlled Ansible with no hardcoded secrets

• Deep Linux system administration expertise (kernel tuning, storage management, sudoers policy)

• Strong Ansible proficiency (playbooks, roles, Jinja2 templating, dynamic task dispatch) plus scripting skills in Bash, Python, and SQL

• Hands-on experience designing and maintaining GitLab CI/CD pipelines, including shared pipeline templates and artifact management via JFrog Artifactory

• Proficiency building reusable GitLab CI templates for multi-project mono-repos with linting, syntax validation, integration testing, and promotion workflows across environments

• Well-versed in Spec Driven Development, tool calling, context management, Model Context Protocol (MCP) integration, multi-agent coordination, and policy enforcement

• Ability to work within a Git-disciplined workflow (feature branching, merge requests targeting develop, traceable commit messages, code review)

Benefits

Not specified in the provided posting.