below marketmost similar roles pay hereabove market
This role pays more than
70%
of similar roles. Most pay
$144,350–$208,800
— the blue band above.
At the midpoint, this role pays about
$175k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
Employer
About Oracle
Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.
Oracle currently has
955 open roles
on FindRole.
Listed pay typically runs
$102,300–$234,600
across 790 roles with salary data.
The Principal Core Infrastructure Engineer-Network Capacity is an individual-contributor role within the Oracle Cloud Infrastructure team. You will design and build scalable, data-intensive software capabilities to support infrastructure demand and capacity planning. Your daily responsibilities include developing reliable backend services, APIs, and data-processing workflows while translating complex planning requirements into production-quality software. You will lead architecture, design, and implementation across the software lifecycle, ensuring systems operate reliably at cloud scale. Key technologies include Java, Python, Go, C++, SQL, and relational or non-relational databases. You will also work with Kubernetes, containers, and machine-learning models to solve operational problems in networking, resource planning, and supply planning. The role requires expertise in distributed systems, automated testing, continuous integration, and Linux environments to maintain high-performance infrastructure.
Lead the architecture, design, and implementation of scalable services for infrastructure planning.
Translate complex business and engineering requirements into technical designs and implementation plans.
Build reliable backend services, APIs, data-processing workflows, and system integrations.
Integrate analytical and machine-learning outputs into production applications and planning workflows.
Define clear 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.
Diagnose complex production issues and implement durable corrective actions.
What we're looking for
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
Eight or more years of professional software-development experience.
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.
Java
Python
Go
C++
SQL
OCI
AWS
Azure
Kubernetes
infrastructure-as-code
Distributed Systems
Linux
Machine Learning
Workflow Orchestration
Event-driven Systems