Oracle Cloud Infrastructure (OCI) delivers mission-critical cloud services to enterprises worldwide. The Physical Networking Automation and Tooling team builds innovative solutions that improve the productivity and efficiency of Network Engineering teams through automation, observability, and actionable insights at hyperscale.
As a Principal Core Infrastructure Engineer, you will design, build, and deliver scalable automation frameworks and advanced platforms that leverage AI/ML to drive operational excellence across OCI’s global network. You will develop event-driven data pipelines that process network signals such as failures and power capabilities including anomaly detection, automated remediation, self-healing operations, model training, and real-time inference.
You are passionate about building software that solves real-world operational challenges. You thrive in a fast-paced environment, are comfortable working with complex distributed systems, and value simplicity, scalability, and collaboration.
Key Responsibilities
- Lead the design of distributed, event-driven systems that ingest and correlate network failures, performance, power, capacity, topology, and change data at global scale.
- Architect AI decision systems for anomaly detection, fault diagnosis, capacity forecasting, and remediation. Establish how models and agents use network context, express uncertainty, and escalate decisions to engineers when needed.
- Direct the development of agent workflows that discover and invoke approved capabilities, coordinate tools and services, maintain execution state, and recover safely from partial failures.
- Establish controls for actions affecting production networks, including identity and authorization, approval gates, validation, limits on the impact of failures, cancellation, rollback, and audit trails.
- Define evaluation and observability standards for AI-driven capabilities. Measure diagnostic accuracy, false positives, action quality, latency, cost, and operational outcomes before and after deployment.
• Set architecture and engineering standards across APIs, backend services, data pipelines, workflow execution, testing, deployment, and production operations.
Minimum Qualifications
- At least 6 to 10+ years of experience in software engineering, network automation, cloud infrastructure, or a related field, including technical leadership of initiatives spanning multiple teams.
- Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
- Strong programming skills in Java and Python, with experience building and operating production software.
- Deep experience designing distributed systems, APIs, event-driven data pipelines, workflow systems, or cloud-native services.
- Experience defining technical architecture and leading complex projects from concept through production operation.
- Experience with network operations, data center infrastructure, or other large-scale infrastructure systems.
- Experience building AI/ML or LLM-based capabilities to operational problems, including evaluating their output and defining when human review is required.
- Strong knowledge of Linux, software development practices, CI/CD, observability, and production incident response.
- Demonstrated ability to influence senior stakeholders, resolve architectural tradeoffs, and mentor experienced engineers.
Preferred Qualifications
- Experience developing AI/ML automation workflows with network telemetry, device connectivity, configuration validation, or automated remediation in large-scale networks.
- Track record of architecting agentic systems, including planner and executor patterns, tool orchestration, agent handoffs, state management, checkpointing, retries, and durable workflows.
- Hands-on work integrating agents with enterprise tools through MCP, A2A, or similar protocols, including authentication, tool schemas, context handling, approval gates, and failure handling.
- Knowledge of AI evaluation, quality, observability, and governance practices for production systems.
- Proficiency with Kubernetes, containers, and operating cloud-native platforms(e.g., AWS, Azure, Google GCP, Oracle Cloud) in production.
- Practical use of AI-assisted development tools for coding, testing, review, and debugging.
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.
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:
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- 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.
- 11 paid holidays
- 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.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- 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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