Principal Core Infrastructure Engineer

Oracle • Nashville, TN

4d

About The Position

Oracle Cloud Infrastructure (OCI) is seeking a Principal Core Infrastructure Engineer to design and build scalable software capabilities that support infrastructure demand and capacity planning. The role develops reliable, secure, data-intensive services used by engineering and planning teams, working closely with Software Developers, Data Scientists, domain experts, and product stakeholders to turn complex planning requirements into production-quality software.

This individual-contributor role has significant technical ownership and cross-functional influence. It provides technical leadership across architecture, design, implementation, testing, deployment, and operations; addresses ambiguous problems; establishes engineering standards; and helps build systems that operate reliably at cloud scale.

Oracle describes itself as a provider of data, infrastructure, applications, and expertise, with AI embedded across its products and services. The company states its commitment to an inclusive workforce, equal employment opportunity, and competitive benefits that support employees.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience; additional qualification pathways include specified related degrees or a doctorate with experience.
• At least eight years of professional software-development experience in the basic qualifications; the minimum-job-qualifications section gives experience pathways of 11 years without a degree, 7 years with a bachelor’s degree, 5 years with a master’s degree, or 3 years with a doctorate in specified related fields.
• Significant experience designing and delivering production software systems.
• Strong programming skills in Java, Python, Go, C++, or another modern programming language.
• Strong understanding of data structures, algorithms, object-oriented design, and software-design principles.
• Experience designing distributed systems, backend services, APIs, or data-intensive applications.
• Experience with relational or non-relational databases and proficiency with SQL.
• Experience developing, testing, deploying, and operating software in Linux and cloud environments.
• Knowledge of source control, automated testing, code reviews, continuous integration, and continuous delivery.
• Experience troubleshooting complex systems and resolving production issues.
• Ability to lead technical design and execution across multiple components or workstreams.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with engineering, data, product, and business stakeholders.
• Demonstrated ability to analyze and interpret data to produce actionable business insights.
• Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery.
• Demonstrated ability or knowledge in automation, compliance, quality assurance, scripting languages, software test plans, user experience development, code review, embedded systems, and software estimation.
• Three years of academic or professional experience with cloud platforms such as AWS, Azure, Google, or Oracle Cloud.
• Five years of experience working in testing and automation at the system level.
• Four years of experience delivering and operating large-scale distributed systems.

Nice To Haves

• Experience building software for cloud infrastructure, networking, capacity planning, resource planning, supply planning, or other large-scale operational domains.
• Experience with cloud-native technologies, containers, Kubernetes, and service-oriented or microservice architectures.
• Experience with workflow orchestration, event-driven systems, batch-processing systems, or distributed data-processing platforms.
• Experience building applications that integrate machine-learning models, forecasting services, optimization methods, or analytical workflows.
• Familiarity with machine-learning lifecycle concepts, including feature generation, model serving, evaluation, and monitoring.
• Experience building internal enterprise applications or decision-support systems.
• Experience with infrastructure-as-code, automated deployment, and configuration-management practices.
• Experience with security, access control, auditability, and data-governance requirements.
• Experience with OCI, AWS, Azure, or another major cloud platform.
• Ability to influence technical direction across teams without direct management authority.
• Preferred qualifications repeat the specified software-development education and experience pathways; the people leadership/management section lists one year of experience with cloud platforms.

Responsibilities

• Lead the architecture, design, and implementation of scalable services and applications supporting infrastructure planning.
• Translate complex and ambiguous business and engineering requirements into technical designs and implementation plans.
• Build reliable backend services, APIs, data-processing workflows, and integrations.
• Develop software that incorporates analytical and machine-learning outputs into production applications and planning workflows.
• Define interfaces and data contracts across software, data, and machine-learning components.
• Design systems for scalability, availability, security, maintainability, and operational efficiency.
• Establish observability through metrics, logs, traces, dashboards, and automated alerting.
• Own software throughout its lifecycle, including design, development, testing, deployment, production support, and continuous improvement.
• Diagnose complex production issues, perform root-cause analysis, and implement corrective actions.
• Improve system performance, reliability, and cost efficiency through measurement and engineering analysis.
• Partner with Data Scientists and Machine Learning Engineers to integrate predictive and analytical capabilities into production systems.
• Collaborate with infrastructure and domain experts to ensure software behavior reflects operational requirements.
• Participate in architecture, design, code, and operational-readiness reviews.
• Establish reusable engineering patterns, development standards, and best practices across the team.
• Mentor engineers and improve the organization’s overall technical quality.
• Communicate technical decisions, tradeoffs, risks, and recommendations to engineering leaders and cross-functional stakeholders.

Benefits

• Competitive benefits supporting employees with flexible medical, life insurance, and retirement options.
• Volunteer programs that encourage employees to give back to their communities.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal