Lead Principal Core Infrastructure Engineer

Oracle•Nashville, TN

1d•$146,300 - $306,400

About The Position

Mentors teams and leads the architecture of highly scalable, interdependent distributed systems. Identifies and removes performance and scalability bottlenecks for hyper-scale workloads, defines scalability requirements with stakeholders, and designs elastic, high-impact systems while advancing innovation in data plane platforms. Engineers and oversees fault-tolerant, in-service-upgradable designs; optimizes resilience mechanisms; and sets SLO-aligned durability and availability standards across dependent services. Establishes KPIs and advanced telemetry, applies formal verification for complex features, and develops robust replication and synchronization strategies. Advises on and leads resolution of complex production issues, sets operational readiness and SOP standards, and directs incident response and root cause analyses. Architects advanced security controls, drives remediation and compliance, and delivers enterprise-level automation and change strategies that enable safe, automated patching, updates, and rollbacks. Oracle's US benefits package includes medical, dental, and vision insurance; disability and life insurance; flexible spending accounts; commuter and parking benefits; a 401(k) plan with company match; paid time off and holidays; paid sick leave and parental leave; adoption assistance; an employee stock purchase plan; financial planning and group legal benefits; and voluntary insurance benefits.

Responsibilities

Mentor teams in the architecture and design of scalable, interdependent distributed systems, including horizontal and vertical scaling and distributed state management.
Identify performance and scalability bottlenecks and recommend solutions for large-scale data processing and high-throughput workloads.
Collaborate with stakeholders to define scalability requirements that meet customer expectations.
Design elastic, high-impact systems and evaluate whether systems meet nonfunctional scalability requirements and anticipated business needs.
Drive innovation in the use of data plane platforms.
Design and oversee fault-tolerant systems that support in-service updates through redundancy, replication, and automatic failover.
Design systems that handle service disruptions, including network partitions, and guide optimization of load-shedding, throttling, and rate-limiting mechanisms.
Set standards for service availability and durability aligned with service level objectives.
Define KPIs and telemetry to identify risks, gaps, and cyclical dependencies in interdependent systems.
Drive the development and customization of dashboards, telemetry systems, and alerting mechanisms to monitor system health and reliability.
Apply industry-standard techniques to verify correctness and formally verify complex features, including through tools such as TLA+.
Develop data replication and synchronization strategies that preserve data integrity and availability.
Advise on diagnosis, debugging, and resolution of complex issues in active systems.
Develop strategies to prevent service interruptions and avoid customer-facing maintenance windows when resolving issues.
Maintain expertise in system dependencies, dependents, and owned systems to support troubleshooting and performance.
Set operational readiness and standard operating procedure standards, and hold third-party partners accountable to those standards.
Oversee operational support rotations, guide incident response, and lead root cause investigations.
Architect security measures for data and applications in multi-tenant environments and lead protection initiatives.
Guide remediation plans for identified security vulnerabilities.
Ensure cloud infrastructure complies with industry standards and regulations, and guide project documentation.
Develop and oversee implementation of enterprise-level automation tools and strategies, such as Infrastructure as Code.
Align change-management plans and organizational initiatives for patching, updates, and rollbacks, and design systems to automate these processes.
Lead specialized problem-solving as an escalation point for complex issues; guide data-driven approaches to ambiguous or novel problems, identify root causes, and implement preventive solutions.
Develop and implement improvements to organizational processes, protocols, and workflows; evaluate their effectiveness, align changes with organizational goals, and define metrics to measure success.