Live opening · Posted 7 hours ago

Senior Core Infrastructure Engineer

Oracle · BENGALURU, KARNATAKA, India
Oracle
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyOracle
LocationBENGALURU, KARNATAKA, India
SourceOracle
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

Oracle Cloud Infrastructure (OCI) builds high-performance GPU platforms for demanding AI, machine learning, and high-performance computing workloads. We are seeking a Senior Software Development Engineer to join the Raw Metal Cloud (RMC) team and help deliver reliable, scalable AI infrastructure.
RMC builds the software platform that manages the AI infrastructure lifecycle, from hardware onboarding and inventory through networking, provisioning, validation, rack certification, and customer handoff. Our software connects physical infrastructure with distributed orchestration services to prepare GPU capacity for customer workloads efficiently and reliably.
As an IC3 engineer, you will drive the design, development, and operation of services across Burninator, Inventory, and Hardware Ingestion. You will build scalable workflows to onboard hardware, maintain accurate asset and component records, and orchestrate burn-in testing and validation. Your work will reduce manual intervention, improve hardware readiness, and increase the speed and predictability of GPU capacity delivery.
You will own complex features from design through production, guide technical decisions across service boundaries, and improve system reliability, performance, and operational visibility. You will collaborate with hardware, networking, and operations teams to resolve dependencies and support data center deployments.
We value clear technical judgment, simple designs, ownership, and collaboration. You will influence RMC’s technical direction, mentor engineers, and build software with a direct impact on OCI’s AI infrastructure.
Key Responsibilities:
development of scalable distributed services for RMC’s infrastructure lifecycle platform.
Build reliable workflows for hardware discovery, inventory, configuration, provisioning, validation, certification, and handoff.
Develop automation for GPU and server health checks, burn-in testing, diagnostics, triage, and remediation.
Design orchestration systems that handle long-running operations, retries, partial failures, dependencies, and recovery across large hardware fleets.
Establish consistent infrastructure state and readiness tracking through APIs, data models, telemetry, and auditable workflow transitions.
Investigate issues across services, Linux hosts, management controllers, GPUs, and networking components; turn recurring problems into durable software improvements.
Define and improve service reliability, performance, observability, security, and operational practices.
Drive technical decisions across teams, lead design and code reviews, and mentor engineers.
Own components throughout the software development lifecycle, including deployment, production operation, and continuous improvement.
Build operational tools, dashboards, and alarms to improve troubleshooting and reduce manual effort.
Improve service scalability, availability, and performance through load testing, failure handling, and performance tuning.
Write automated unit and integration tests, review code, and maintain technical documentation and runbooks.
Troubleshoot production issues and collaborate with infrastructure, security, hardware, and operations teams.
Required Qualifications:
Bachelor's or master's degree in computer science or a related technical discipline, or equivalent practical experience.
Demonstrated experience developing and maintaining production software, with ownership of service components from design through deployment.
Strong programming skills in Java, python or a comparable backend language.
Solid understanding of data structures, algorithms, object-oriented design, concurrency, and distributed systems fundamentals.
Experience developing REST APIs, integrating services, and handling asynchronous data processing.
Working knowledge of relational databases, SQL, data modeling, and query optimization.

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