This role pays less than
70%
of similar roles. Most pay
$174,600–$241,550
— the shaded band above.
At the midpoint, this role pays about
$175k
versus about
$208k
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
366 open roles
on FindRole.
Listed pay typically runs
$102,300–$209,500
across 336 roles with salary data.
As a Principal Software Engineer, Core Infrastructure, you will join the team responsible for the foundational distributed systems powering Oracle Cloud Infrastructure. You will lead the design, implementation, and evolution of high-scale data-plane services, ensuring they meet rigorous requirements for scalability, elasticity, durability, and availability. Your daily work involves optimizing high-throughput data paths for retrieval, storage, and processing while implementing robust security controls and infrastructure as code for automated operations. To succeed, you must possess expertise in distributed systems design, data structures, algorithms, and networking. You will utilize programming languages such as Java, C++, C#, or Go to build fault-tolerant systems. The role focuses on solving complex technical challenges related to multi-tenant cloud infrastructure, specifically addressing problems involving replication, state management, and high-volume data processing in a production environment.
What does a Software Engineer earn?
Median $197875 from 2180 postings across 138 companies.
Lead the design and evolution of core distributed systems and data-plane services at hyperscale.
Define scalability, durability, and availability requirements for owned components and infrastructure.
Optimize high-throughput data paths for large-scale retrieval, storage, and processing using replication patterns.
Design fault-tolerant systems that support in-service updates through redundancy and automatic failover.
Implement distributed system controls such as load shedding, throttling, rate limiting, and retries.
Establish service-level objectives, telemetry, and proactive alerting for critical infrastructure.
Lead performance, load, and fault-injection testing to validate system resilience and readiness.
Manage production incident diagnosis, root-cause analysis, and Infrastructure as Code automation.
What we're looking for
Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
7+ years of professional software-engineering experience with impact on large-scale distributed systems or cloud infrastructure.
Proficiency in one or more object-oriented or systems programming languages such as Java, C++, C#, or Go.
Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software development.
Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response.
Demonstrated experience leading technical architecture and mentoring engineers.
Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms (preferred).
Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing (preferred).
Distributed Systems
Infrastructure as Code (IaC)
Data Processing
System Design
Telemetry
Monitoring
Alerting
rate‑limiting
Fault Injection
Encryption
Automation
Scalability
Distributed Systems
Infrastructure as Code (IaC)
Data Processing
System Design
Telemetry
Monitoring
Alerting
Fault Injection
rate‑limiting
Encryption
Automation
Scalability
Distributed Systems
Infrastructure as Code (IaC)
Data Processing
Telemetry
Monitoring
Alerting
rate‑limiting
Fault Injection
Data Replication
Security Controls
Encryption
Automation
System Design
Scalability
High-Throughput
Distributed Systems
Infrastructure as Code (IaC)
Data Processing
System Design
Telemetry
Monitoring
Alerting
rate‑limiting
Fault Injection
Encryption
Automation
Scalability