Senior Core Infrastructure Engineer; OCI Object Storage

Job Description

NOTE:

This role will sit onsite at our Nashville, TN location.

Are you interested in building large-scale distributed infrastructure for the cloud? Oracle’s Cloud Infrastructure team is building Infrastructure-as-a-Service technologies that operate at high scale in a broadly distributed multi-tenant cloud environment. Our customers run their businesses on our cloud, and our mission is to provide them with industry-leading compute, storage, networking, database, security, and an ever-expanding set of foundational cloud-based services.

As part of this effort, the Object Storage Service team is looking for hands‑on engineers with expertise and passion in solving difficult problems in distributed systems, large-scale storage, and highly available services. If this is you, you can be part of the team that drives the best-in-class Object Storage Service into the next phase of its development. These are exciting times for the service – we are growing fast, and delivering innovative, enterprise-class features to satisfy the most demanding big data and enterprise workloads for our customers.

An engineer at any level can have significant technical and business impact.

• Design, implement, and optimize components in distributed systems with an emphasis on scalability, resiliency, and operability.
• Deliver features and load/performance tests; leverage data‑plane platforms and distributed state tools for high‑volume retrieval, storage, and processing; and review peers’ implementations for scalability compliance.
• Build fault‑tolerant paths (redundancy, replication, automatic fail‑over), apply recovery‑oriented principles, and implement retries, circuit breakers, and timeouts.
• Proactively detect and mitigate issues via tests, alarms, dashboards, and telemetry; author runbooks and participate in incident response and root‑cause analyses.
• Implement standard replication and synchronization techniques, develop automation/IaC for troubleshooting and maintenance, and apply advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met.

• Implement and contribute to the development of components of distributed systems that support horizontal and vertical scaling including leveraging distributed state management tools.
• Optimize code and/or systems for large-scale data processing.
• Implement scalability requirements for assigned components and review implementation of team members.
• Leverage components of data‑plane platforms to handle large-scale data retrieval, storage, and processing.
• Implement performance and load testing.

• Collaborate with the team to build fault‑tolerant components capable of withstanding in-service updates by implementing redundancy, replication, and automatic fail‑over mechanisms.
• Apply recovery-oriented computing principles to design components that effectively handle service disruptions.
• Implement retry mechanisms, circuit breakers, and timeouts to help handle network unreliability.

• Implement tests and alarm configurations to proactively detect and address issues or failures.
• Support efforts to recover from failures by drafting and executing runbooks and operational procedures.
• Build and customize dashboards, telemetry systems, and alerting mechanisms to monitor component health.

• Design and implement functional requirements and testing for assigned features within an existing system.
• Implement test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness.
• Implement standard data replication and synchronization techniques to maintain data integrity and availability.

• Diagnose, debug, and resolve issues in system components to support ongoing operations.
• Implement basic strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues.
• Design and implement automation scripts…