Principal Software Engineer, Core Infrastructure
Oracle · Nashville, TN, USA · no salary listed · via jobspy:indeed
Fit analysis
The candidate possesses exceptional senior-level experience in building complex, high-availability distributed applications (IoT/B2B SaaS) and has strong operational acumen. However, the role requires deep expertise in core infrastructure languages (Java/Go/C++) and low-level system design principles that are not demonstrated on the resume.
Where you fit
- Distributed Systems Experience: Developed real-time SaaS platforms aggregating telemetry from 1,800+ machines (Abit Corp LLC), demonstrating experience with large-scale data pipelines and high availability requirements.
- B2B E-commerce Architecture: Architected and deployed headless B2B Shopify storefronts using Next.js (Brooking Technologies), showing expertise in complex enterprise sales workflows and integrations.
- Complex Data Integration: Proficiently integrated multiple systems via GraphQL (Hasura) and PostgreSQL, including bridging live blockchain nodes and disparate e-commerce platforms (SCP Corp LLC).
- Operational Resilience & Scaling: Proven ability to ensure zero disruption during large-scale infrastructure rollouts and managing complex data flows across active sales channels during rapid growth phases (Mission Ready Solutions).
- Full-Stack Proficiency: Strong command of modern full-stack technologies including Next.js, React, Node.js, and Rust, indicating a high level of technical versatility.
- Performance Optimization: Executed SEO strategies and site improvements leading to measurable boosts in performance metrics (Epic Cosplay Wigs; Brooking Technologies).
Where you may struggle
- Core Infrastructure Languages: The job strongly requires strong knowledge of Java, Go, Python, or C++. The candidate's primary languages are JavaScript/TypeScript, Rust, and Node.js, which represents a significant technical stack mismatch for this specific role.
- Low-Level Distributed Systems Design: While the candidate builds distributed *applications*, the JD demands designing core infrastructure components (e.g., implementing redundancy, replication, failover mechanisms) at a system level, requiring deeper knowledge of OS and networking fundamentals beyond application development.
- Hyper-Scale Storage/Data Plane Expertise: The role requires optimizing code for hyper-scale data processing and leveraging data plane platforms. The candidate's experience is focused on consuming or managing data in PostgreSQL/Hasura rather than designing the underlying storage persistence layer itself.
- Advanced Reliability Engineering: The JD specifies implementing complex reliability patterns like load-shedding, throttling, rate-limiting, and designing fault injection/brownout testing protocols; this level of infrastructure resilience design is not explicitly detailed.
Job description
Joining Oracle will give you the opportunity to design and build innovative new systems from the ground up and operate services at scale. Engineers at every level can have significant technical and business impact while delivering critical enterprise level features. You will work as part of a highly collaborative team to build new features/tools for File Storage Service while operating and growing the current service offering. You should understand distributed systems and have a strong knowledge of software architecture. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Duties and tasks are varied and require independent judgment. You will perform software development tasks associated with developing, debugging, and designing software applications. We expect this role to be a leadership role, where the candidate will participate in design activities, work with Product management on service definition and establish operational best practices across the organization. We also expect this role to have an impact in new AI/ML service offerings as well as in enhancements to existing storage services. Basic Qualifications: BS or MS degree or equivalent experience relevant to functional area. 6+ years' experience developing commercial software in a distributed environment. Strong knowledge of Java, Go, Python or C++. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Strong understanding of databases, storage, and persistent technologies. Strong troubleshooting, debugging and performance tuning skills. Leads development and begins architecting components of scalable, elastic distributed systems. Defines and enforces scalability requirements for owned components; optimizes code and data paths for high‑throughput, hyper‑scale workloads; and leverages data plane platforms for large‑scale retrieval, storage, and processing. Designs fault‑tolerant, in‑service‑upgradable systems using redundancy, replication, failover, and policies for partitions, applying load‑shedding, throttling, and rate‑limiting to handle network unreliability while meeting SLOs. Establishes KPIs and telemetry; builds proactive dashboards and alerts; and designs complex validation (fault injection, brownouts), replication, and synchronization for correctness and durability. Proactively diagnoses and resolves production issues, mentors peers, and ensures operational readiness. Implements robust security controls, executes remediation, maintains compliance documentation, and develops IaC and automation that enable safe patching, updates, and rollbacks within change‑management plans. 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.
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Timeline
2026-10-22 04:06:36
scored 70: The candidate possesses exceptional senior-level experience in building complex, high-availability distributed applications (IoT/B2B SaaS) and has strong operational acumen. However, the role requires deep expertise in core infrastructure languages (Java/Go/C++) and low-level system design principles that are not demonstrated on the resume.2026-10-22 04:04:51
found Found via jobspy:indeed