Senior Core Infrastructure Software Engineer

Oracle Cloud Infrastructure is seeking a Senior Core Infrastructure Software Engineer to join the AI Innovation team! This is an senior, experienced, hands-on software engineering role responsible for designing, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will work on building production-grade cloud distributed systems, agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments.

The Senior Core Infrastructure Software Engineer is a Senior experienced, hands-on software engineer role responsible for designing, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will work on building production-grade cloud distributed systems, agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments.

This role owns moderately complex components within OCI Cloud platform services or SDKs; leads team-level improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of distributed services, driving fixes that protect downstream consumers and upgrade paths. Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations. Authors and curates team-scoped documentation, samples, and adoption guidance. The ideal candidate combines deep distributed systems experience with practical AI-native engineering.

Key Responsibilities include:

• Implements and contributes to the development for components of distributed systems that support horizontal and vertical scaling including leveraging distributed state management tools.
• Design, implement, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-step task orchestration, and safe human-in-the-loop escalation.
• Implement scalability, performance, availability, and durability requirements for owned services and components.
• Designs and implements functional requirements and testing for assigned features within an existing system
• Optimize services for high-throughput, low-latency, and large-scale cloud workloads.
• Implement systems that handle network unreliability, service disruptions, and partition scenarios while meeting SLOs.
• Establish telemetry, KPIs, dashboards, and alerts to monitor service health, performance, reliability, and customer impact.
• Drive performance testing, load testing, fault injection, brownout testing, and other validation strategies to ensure correctness and resiliency.
• Implement secure infrastructure controls for multi-tenant cloud environments, including access controls, encryption, and remediation of security gaps.
• Develop automation, Infrastructure as Code, and deployment tooling to support safe patching, updates, rollbacks, and operational recovery.
• Designs and implements automation scripts and tooling used to troubleshoot operational issues.
• Take ownership of production operations, including troubleshooting, incident response, root cause analysis, and ongoing service improvements.
• Adheres to change management plans for patching, updating, and rolling back applications.
• Strengthen operational readiness by improving runbooks, monitoring, change management, deployment safety, and recovery processes.
• Applies advanced security measures to protect data and applications in multi-tenant environments, including encryption and access controls.
• Collaborates with the team to ensure cloud infrastructure complies with relevant industry standards and regulations and that documentation is up-to-date

• Bachelor's, Master's, or Ph.D. in Computer Science, AI/ML, Engineering, or a related field, or equivalent practical experience.
• 3-7+ years of professional software engineering experience
• Experience in designing and developing high-scale distributed systems, cloud services, infrastructure platforms, or AI/ML platform services.
• Strong programming skills in Java or Golang or Python and ability to contribute high-quality production code, reviews, tests, and debugging in complex distributed environments.
• Strong expertise with Kubernetes, Docker, cloud-native infrastructure, service-to-service communication, scalability, fault tolerance, observability, and performance analysis.
• Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery
• Excellent written and verbal communication, * Experience with large scale cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud).
• Practical experience with orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar ecosystems.
• Understanding of LLM application patterns, including prompt design, structured outputs, function/tool calling, context management, RAG, memory, tool safety, and evaluation.
• Experience using AI-assisted software development tools such as Codex, Claude Code, Cursor, Copilot, or similar systems in large-scale engineering environments

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

 Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

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