Principal Core Infrastructure Engineer, OCI Planning & Capacity

Location: Nashville, TN — onsite 5 days/week. Relocation assistance is available; this is not a remote position. Job Summary Leads development and begins architecting components of scalable, elastic distributed systems. Defines and enforces scalability requirements for owned components; optimizes code and data paths for high ‑ throughput, hyper ‑ scale workloads; and leverages data plane platforms for large ‑ scale retrieval, storage, and processing. Designs fault ‑ tolerant, in ‑ service ‑ upgradable systems using redundancy, replication, failover, and policies for partitions, applying load ‑ shedding, throttling, and rate ‑ limiting to handle network unreliability while meeting SLOs. Establishes KPIs and telemetry; builds proactive dashboards and alerts; and designs complex validation (fault injection, brownouts), replication, and synchronization for correctness and durability. Proactively diagnoses and resolves production issues, mentors peers, and ensures operational readiness. Implements robust security controls, executes remediation, maintains compliance documentation, and develops IaC and automation that enable safe patching, updates, and rollbacks within change ‑ management plans. About the Team & Organization Oracle Cloud Infrastructure is seeking a motivated Principal Core Infrastructure Engineer to join the OCI Infrastructure Planning and Capacity Management organization. The OCI Infrastructure Planning and Capacity Management team builds software solutions that improve how OCI manages infrastructure capacity, sources resources, and plans for future demand. Our work spans planning and forecasting services, infrastructure sourcing workflows, process automation, data integration, and operational reporting. We focus on improving decision quality, increasing operational visibility, and reducing manual effort across engineering, operations, supply chain, and finance. In this role, you will design, develop, and maintain backend services, APIs, and workflow automation solutions that support critical infrastructure planning and capacity management processes. You will own technical designs and service implementations, contribute to architectural decisions, and collaborate across engineering teams to deliver scalable, reliable production systems. You will work on both new capabilities and enhancements to existing systems, applying strong software engineering fundamentals and modern development practices to solve complex technical and operational challenges. You will also help improve system architecture, performance, reliability, and operational efficiency across infrastructure planning and capacity management solutions. Key Responsibilities System Design & Architecture - System Scalability: –Lead the development and implementation, and begin to architect, components of scalable distributed systems that support horizontal and vertical scaling to meet system demands, including leveraging distributed state management tools. –Optimize code and/or systems for large-scale data processing and high-throughput requirements to support hyper-scale systems. –Define scalability requirements for owned components and ensure design and implementation requirements are met. –Design systems to scale with elasticity (e.g., effectively scaling both up and down). –Leverage data plane platforms to effectively handle large-scale data retrieval, storage, and processing. –Design performance and load testing. System Design & Architecture - System Reliability Design: –Build and design fault-tolerant components and systems capable of withstanding in-service updates by implementing redundancy, replication, and automatic failover mechanisms. –Design systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. –Implement and optimize approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. –Design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: –Define key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. –Build and customize moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health.. System Design & Architecture - Correctness / Availability: –Design and implement functional and correctness requirements for feature sets and/or systems in new or existing systems. –Design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. –Implement data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: –Take a proactive role in diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation, and mentor others in these processes. –Implement strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. –Maintain expertise in owned components and systems to ensure effective troubleshooting and performance. –Meet operational readiness expectations through design and implementation. –Serve in operational support rotations, providing guidance in incident response and root cause investigations. Compliance & Security: –Implement robust security measures to protect data and applications in multi-tenant environments, including encryption techniques and access controls. –Execute remediation plans to address identified security gaps. –Ensure cloud infrastructure is in compliance with industry standards and regulations and that documentation is up to date. Automation & Change Management: –Develop and maintain automation scripts and tools (e.g., Infrastructure as Code (IaC)) to manage cloud infrastructure. –Create and adhere to change management plans for patching, updating, and rolling back applications, and begin designing systems and components to allow for automation of these processes. Org-Specific Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. 7+ years of professional software development experience. Strong programming skills in Java, Python, Go, C#, or a comparable programming language. Experience designing, building, and deploying cloud-native services and APIs in cloud environments. Strong software engineering fundamentals, including data structures, algorithms, system design, and experience with relational and/or distributed databases. Demonstrated ability to translate business requirements into technical designs and independently deliver reliable, maintainable production services. Experience with modern software development practices, including CI/CD, automated testing, source control, monitoring, observability, debugging, and production reliability. Experience owning technical designs, collaborating on architecture decisions, and coordinating implementation across engineering teams. Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical challenges and drive solutions through implementation. Excellent written and verbal communication skills, including the ability to collaborate effectively with engineering teams and cross-functional stakeholders. Experience using AI-assisted development tools to improve software delivery, testing, debugging, and technical documentation. Org-Specific Preferred Qualifications: Experience designing and developing distributed systems, highly scalable backend services, or complex cloud-native applications. Familiarity with data engineering, ETL processes, streaming technologies, data warehousing, forecasting, or operational analytics. Experience with workflow orchestration platfo