Senior Core Infrastructure Engineer, OCI Planning & Capacity

Oracle Corporation; Nashville (TN); On-site; USD 140,000 - 190,000; Full time

Job summary

Oracle Corporation is seeking a Senior Core Infrastructure Engineer to join the OCI Infrastructure Planning and Capacity Management team in Nashville, onsite. You will design, develop, and maintain backend services and APIs that support capacity planning, infrastructure sourcing, and operational reporting.

The role emphasizes scalable, fault‑tolerant architectures, automation, IaC, security controls, and collaboration with engineering, operations, and finance.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 4+ years of professional software development experience delivering production services or applications.
• Strong programming ability in Java, Python, Go, C#, or a comparable modern language.
• Experience building backend services, APIs, or cloud-native applications.
• Solid fundamentals in data structures, algorithms, testing, debugging, and system design.
• Familiarity with source control, CI/CD, automated testing, monitoring, and observability.

Responsibilities

• Design, develop, and maintain backend services and APIs for OCI planning and capacity management.
• Implement scalable, fault-tolerant components with redundancy and failover mechanisms.
• Build dashboards, telemetry, and alerting for production systems.
• Lead incident responses, RCAs, and runbooks.
• Collaborate across teams to ensure security, compliance, and documentation standards.

Skills

Java

Python

Go

C#

Distributed systems

CI/CD

Monitoring/Observability

Problem solving

Education

Bachelor's degree in CS/Engineering/IS or related field

Tools

Kubernetes

Infrastructure as Code (IaC)

CI/CD pipelines

Job description

Location:Nashville, TN — onsite 5 days/week. Relocation assistance is available; this is not a remote position.

Job Summary

Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers’ implementations for scalability compliance. Builds fault‑tolerant paths (redundancy, replication, automatic failover), applies recovery‑oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met.

About the Team & Organization

Oracle Cloud Infrastructure is seeking a motivated Senior Core Infrastructure Engineer to join the OCI Infrastructure Planning and Capacity Management organization.

The OCI Infrastructure Planning and Capacity Management team builds software solutions that improve how OCI manages infrastructure capacity, sources resources, and plans for future demand. Our work spans planning and forecasting services, infrastructure sourcing workflows, process automation, data integration, and operational reporting. We focus on improving decision quality, increasing operational visibility, and reducing manual effort across engineering, operations, supply chain, and finance.

In this role, you will design, develop, and maintain backend services, APIs, and workflow automation solutions that support critical infrastructure planning and capacity management processes. You will independently deliver software components, collaborate on technical designs, and contribute to the reliability, scalability, and maintainability of production systems.

You will work on both new capabilities and enhancements to existing systems, applying strong software engineering fundamentals and modern development practices to solve complex technical and operational challenges.

Internal Responsibilities

Key Responsibilities

System Design & Architecture - System Scalability:

• Implements and contributes to the development for components of distributed systems that support horizontal and vertical scaling including leveraging distributed state management tools.
• Optimizes code and/or systems for large-scale data processing in large-scale systems.
• Implements scalability requirements for assigned components and reviews implementation of team members.
• Leverages components of data plane platforms to handle large-scale data retrieval, storage, and processing.
• Implements performance and load testing.

System Design & Architecture - System Reliability Design:

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

System Design & Architecture - System Reliability Performance:

• Implements tests and alarm configurations to proactively detect and address issues/failures.
• Supports efforts to recover from failures by drafting and executing runbooks and operational procedures.
• Builds and customizes dashboards, telemetry systems, and alerting mechanisms to monitor component health.

System Design & Architecture - Correctness / Availability:

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

Operational Troubleshooting & Incident Management:

• Diagnoses, debugs, and resolves issues in system components to support ongoing operation.
• Implements basic strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues.
• Designs and implements automation scripts and tooling used to troubleshoot operational issues.
• Participates in operational support rotations, assisting in incident responses and root cause investigations.

Compliance & Security:

• Applies advanced security measures to protect data and applications in multi‑tenant environments, including encryption and access controls.
• Implements remediation plans to continuously improve security.
• Collaborates with the team to ensure cloud infrastructure complies with relevant industry standards and regulations and that documentation is up‑to‑date.

Automation & Change Management:

• Maintains automation scripts and tools (e.g., Infrastructure as Code (IaC)) for managing cloud infrastructure.
• Adheres to change management plans for patching, updating, and rolling back applications.

Org-Specific Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• 4+ years of professional software development experience delivering production services or applications.
• Strong programming ability in Java, Python, Go, C#, or a comparable modern language; candidates do not need every language listed.
• Experience building backend services, APIs, or cloud-native applications, with relational and/or distributed databases.
• Solid fundamentals in data structures, algorithms, testing, debugging, and system design.
• Familiarity with source control, CI/CD, automated testing, monitoring, and observability.
• Strong problem‑solving and communication skills, with the ability to work independently and collaborate across teams.
• Experience using AI‑assisted development tools to improve implementation, testing, debugging, and documentation.

Org-Specific Preferred Qualifications:

• Distributed systems, scalable backend services, and workflow-based applications.
• Data pipelines, ETL, streaming, and operational analytics.
• Capacity management, demand planning, sourcing, supply chain, or data center operations experience.
• OCI or another major cloud platform; Kubernetes, containers, and microservices.

#LI-AJP

External Responsibilities

Key Responsibilities

System Design & Architecture - System Scalability:

• Implements and contributes to the development for components of distributed systems that support horizontal and vertical scaling including leveraging distributed state management tools.
• Optimizes code and/or systems for large-scale data processing in large-scale systems.
• Implements scalability requirements for assigned components and reviews implementation of team members.
• Leverages components of data plane platforms to handle large-scale data retrieval, storage, and processing.
• Implements performance and load testing.

System Design & Architecture - System Reliability Design:

• Collaborates with team to build fault‑tolerant components capable of withstanding in‑service updates by implementing redundancy, replication, and automatic failover mechanisms.
• Applies recovery oriented computing principles to design components that effectively handle service disruptions.
• Implements retry mechanisms, circuit breakers, and timeouts to help handle network unreliability.

System Design & Architecture - System Reliability Performance:

• Implements tests and alarm configurations to proactively detect and address issues/failures.
• Supports efforts to recover from failures by drafting and executing runbooks and operational procedures.
• Builds and customizes dashboards, telemetry systems, and alerting mechanisms to monitor component health.

System Design & Architecture - Correctness / Availability:

• Designs and implements functional requirements and testing for assigned features within an existing system.
• Implements tests scenarios (e.g., fault‑injection, brown‑out) to evaluate system correctness.
• Implements standard data replication and synchronization techniques to maintain data integrity and availability.

Operational Troubleshooting & Incident Management:

• Diagnoses, debugs, and resolves issues in system components to support ongoing operation.
• Implements basic strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues.
• Designs and implements automation scripts and tooling used to troubleshoot operational issues.
• Participates in operational support rotations, assisting in incident responses and root cause investigations.

Compliance & Security:

• Applies advanced security measures to protect data and applications in multi‑tenant environments, including encryption and access controls.
• Implements remediation plans to continuously improve security.
• Collaborates with the team to ensure cloud infrastructure complies with relevant industry standards and regulations and that documentation is up‑to‑date.

Automation & Change Management:

• Maintains automation scripts and tools (e.g., Infrastructure as Code (IaC)) for managing cloud infrastructure.
• Adheres to change management plans for patching, updating, and rolling back applications.

Org-Specific Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• 4+ years of professional software development experience delivering production services or applications.
• Strong programming ability in Java, Python, Go, C#, or a comparable modern language; candidates do not need every language listed.
• Experience building backend services, APIs, or cloud‑native applications, with relational and/or distributed databases.
• Solid fundamentals in data structures, algorithms, testing, debugging, and system design.
• Familiarity with source control, CI/CD, automated testing, monitoring, and observability.
• Strong problem‑solving and communication skills, with the ability to work independently and collaborate across teams.
• Experience using AI‑assisted development tools to improve implementation, testing, debugging, and documentation.

Org-Specific Preferred Qualifications:

• Distributed systems, scalable backend services, and workflow-based applications.
• Data pipelines, ETL, streaming, and operational analytics.
• Capacity management, demand planning, sourcing, supply chain, or data center operations experience.
• OCI or another major cloud platform; Kubernetes, containers, and microservices.

#LI-AJP