Lead Principal Software Engineer

About the role

We are seeking a Consulting Member of Technical Staff to lead the development of distributed systems for OCI compute control plane services, specifically for Imaging and Container Registry services. This role involves architecting, designing, and operating systems that are multi-tenant, highly available, and horizontally scalable across OCI regions.

Responsibilities

• Architect, design, and operate distributed, highly available, and resilient systems for multi-tenant, horizontally scalable, and cost-efficient architectures that deliver consistent latency, throughput, and durability across OCI regions.
• Collaborate cross-functionally with Compute, Storage, Networking, OKE and other teams to deliver new platform features, focusing on Imaging, Container Registry Services, and enforcing secure-by-default designs.
• Mentor and guide engineers in distributed systems design, high-scale data processing, and operational excellence; set and raise engineering standards across multiple teams.
• Drive operational excellence by owning service-level objectives (availability, latency, durability) and reducing toil through automation, observability, and self-healing mechanisms.
• Own the full service lifecycle from design and implementation to deployment, on-call, and continuous improvement — maintaining high code and reliability standards.
• Define and drive the technical roadmap for OCI Imaging, Container Registry Services.
• Partner with product management and field teams to translate customer needs into roadmap priorities for Oracle Imaging & Container Registry Services.
• Influence how Oracle’s Imaging & Container Registry Services evolve to support mission-critical workloads globally.

Requirements

• 10+ years of development experience with large scale, highly available distributed systems.
• Proficiency in Java programming patterns, programming experience with Scala, Python is preferred.
• Advanced knowledge of data structures, algorithms, and operating systems.
• Experience with operating distributed services at scale.
• Expertise in Linux and operating systems.
• Systematic problem-solving approach, strong communication skills, strong ownership and drive.
• Deep understanding of service metrics and alarms through the development of dashboards, service KPIs, alarming systems.

Qualifications

• BS or MS degree in Computer Science/Engineering or a related IT field or equivalent experience relevant to functional area.
• Proven ability to drive technical outcomes, take ownership of deliverables, and work independently in fast-evolving AI solution spaces.
• Strong communication skills, with the ability to articulate technical concepts and document solution approaches, collaborate across multiple geo distributed teams.
• Demonstrated problem-solving ability leveraging AI, distributed systems, and cloud-native application behaviors.
• A proactive, experimentation-oriented mindset with a strong willingness to learn and guide team on emerging AI technologies, frameworks, and engineering patterns.

Preferred Qualifications

• Experience in management and automation of end-to-end CPU/GPU lifecycles at scale.
• Proficiency with Cloud and CICD environments.
• Proficiency with Kubernetes, OS Images and Terraform.
• Proficiency with modern build tools and pipelines.
• Proficiency building multi-tenant, virtualized infrastructure.
• Proficiency with change control management and mature operating processes.
• Proficiency with Security including Identity, SSL and certificates.
• Proficiency with Database and Data Stores.