Principal Core Infrastructure Engineer

Oracle Cloud Infrastructure (OCI) is hiring a Principal Core Infrastructure Engineer to join the Next Gen Network Observability team. Help build cloud-scale intelligence systems that enable OCI networks to detect, diagnose, and respond to failures automatically—advancing the vision of self-healing networks through automated network control.

Description

In this high-impact role, you will design and build distributed systems and algorithms that measure, analyze, and explain network behavior across OCI’s data centers and WAN. You will combine active measurements, network topology, routing state, flow signals, and switch telemetry to identify where latency, congestion, packet loss, and failures originate.

The broader vision is to make observability an active part of the network control loop. The platform will transform trusted, confidence-scored insights into signals that automated controllers can use to steer traffic, mitigate congestion, isolate faults, and restore network health safely. These capabilities will provide the intelligence foundation for increasingly autonomous, self-healing cloud networks while maintaining explainability, policy controls, and operational safeguards.

This position requires deep systems expertise and hands-on experience with networking, algorithms, telemetry, and distributed computing. You will develop topology-aware observability capabilities, congestion-triangulation and queue-wait reconstruction algorithms, confidence-scored fault localization, and production services that operate reliably at cloud scale.

Responsibilities

Key Responsibilities

• Design, implement, and maintain critical components of OCI’s Next Gen Network Observability platform.
• Build scalable, topology-aware measurement, analytics, and inference systems for data center and WAN networks.
• Develop algorithms for path reconstruction, congestion triangulation, queue-wait estimation, fault localization, root cause analysis, and customer-impact attribution.
• Ingest and correlate signals from active probes, routing and topology systems, switches, ASICs, queues, flows, logs, metrics, events, and streaming telemetry.
• Produce ranked, confidence-scored diagnoses that localize problems to the responsible path, link, queue, device, or shared network resource.
• Convert observability insights into safe, explainable, and controller-consumable signals for automated traffic steering, congestion mitigation, fault isolation, and service recovery.
• Design control-loop safeguards that account for uncertainty, stale or conflicting evidence, policy constraints, and unintended interactions between automated actions.
• Design systems that remain accurate and available despite missing or delayed telemetry, topology changes, clock uncertainty, and partial network failures.
• Build validation frameworks that measure detection and localization time, accuracy, false-positive rates, confidence calibration, corrective-action effectiveness, and resilience across complex failure scenarios.
• Apply AI-assisted software development lifecycle practices across design, implementation, testing, debugging, code review, documentation, and operational analysis while maintaining engineering, security, and quality standards.
• Write robust, well-tested production code in languages such as Java, Go, C++, Rust, or Python.
• Own and resolve complex production issues involving distributed services, large-scale telemetry pipelines, real-time network state, and automated control workflows.
• Lead design, and code reviews while maintaining high standards for correctness, scalability, reliability, safety, and operational readiness.
• Mentor engineers and help establish strong engineering practices for network measurement, analytics, inference, and automated remediation systems.
• Partner with network controller, SRE, hardware, network operations, security, AI/ML, and product teams to deliver closed-loop capabilities end to end.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent professional experience.
• 6-10+ years of experience building large-scale distributed systems, network modeling software, network measurement platforms, or telemetry and observability systems.
• Strong knowledge of networking fundamentals, including L2/L3 forwarding, routing, switching, BGP, ECMP, data center fabrics, queues and buffers, congestion, and packet loss.
• Advanced programming experience in at least one language such as Java, Go, C++, Rust, or Python.
• Strong understanding of algorithms, distributed systems, data structures, system reliability, and performance engineering.
• Experience with one or more of the following: active network measurement, streaming telemetry, time-series or stream processing, graph algorithms, statistical inference, probabilistic modeling, or multi-source data fusion.
• Familiarity with ML pipelines and models, including data preparation, training and evaluation, deployment, versioning, monitoring, and integration into production systems.
• Hands-on experience using AI-assisted development tools and workflows across the software development lifecycle.
• Experience building systems that process high-volume, time-sensitive data and operate reliably under incomplete, delayed, or contradictory inputs.
• Demonstrated ability to validate complex algorithms and models against ground truth and translate experimental results into production-quality systems.
• Experience designing automated or closed-loop systems with appropriate safety controls, rollback mechanisms, and human oversight.
• Track record of technical leadership, mentorship, and delivery across complex, cross-functional projects.
• Experience operating production systems in cloud-scale or large enterprise environments.

Join the OCI Networking – Next Gen Network Observability team to build the intelligence and automation foundation for self-healing networks—where measurement, inference, and automated control work together to detect problems, select safe corrective actions, and restore network health at cloud scale —helping Oracle’s cloud networks operate with greater visibility, resilience, and efficiency.

Responsibilities

Key Responsibilities
System Design & Architecture - System Scalability:
–Lead the development and implementation, and begin to architect, components of scalable distributed systems that support horizontal and vertical scaling to meet system demands, including leveraging distributed state management tools. 
–Optimize code and/or systems for large-scale data processing and high-throughput requirements to support hyper-scale systems. 
–Define scalability requirements for owned components and ensure design and implementation requirements are met. 
–Design systems to scale with elasticity (e.g., effectively scaling both up and down). 
–Leverage data plane platforms to effectively handle large-scale data retrieval, storage, and processing. 
–Design performance and load testing.
System Design & Architecture - System Reliability Design:
–Build and design fault-tolerant components and systems capable of withstanding in-service updates by implementing redundancy, replication, and automatic failover mechanisms. 
–Design systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. 
–Implement and optimize approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. 
–Design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department.
System Design & Architecture - System Reliability Performance:
–Define key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. 
–Build and customize moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health..
System Design & Architecture - Correctness / Availability:
–Design and implement functional and correctness requirements for feature sets and/or systems in new or existing systems. 
–Design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. 
–Implement data replication and synchronization techniques to maintain data integrity and availability.
Operational Troubleshooting & Incident Management:
–Take a proactive role in diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation, and mentor others in these processes. 
–Implement strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. 
–Maintain expertise in owned components and systems to ensure effective troubleshooting and performance. 
–Meet operational readiness expectations through design and implementation. 
–Serve in operational support rotations, providing guidance in incident response and root cause investigations.
Compliance & Security:
–Implement robust security measures to protect data and applications in multi-tenant environments, including encryption techniques and access controls. 
–Execute remediation plans to address identified security gaps. 
–Ensure cloud infrastructure is in compliance with industry standards and regulations and that documentation is up to date.
Automation & Change Management:
–Develop and maintain automation scripts and tools (e.g., Infrastructure as Code (IaC)) to manage cloud infrastructure. 
–Create and adhere to change management plans for patching, updating, and rolling back applications, and begin designing systems and components to allow for automation of these processes.

Core Responsibilities
Planning & Execution:
–Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately-sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines.
Collaboration & Partnership:
–Collaborates across the organization to align on expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.
Problem Solving:
–Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices. Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions. Reviews, contributes to, and documents problem solving strategies.
Continuous Learning:
–Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices. Proactively seeks and leverages ongoing feedback and training to improve skills. Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams.
Continuous Improvement:
–Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solicits feedback from others on ideas for alternative approaches and methods for continued improvement.
Performance and Development:
–Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations.

Qualifications

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

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