Senior Core Infrastructure Software Engineer

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.
 

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: $92,500 to $209,500 per annum. May be eligible for bonus and equity.


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.

Career Level - IC3

Responsibilities:

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

 

Required Qualifications:

* 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
 

Preferred Qualifications:
* 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

 

Salary : $92,500 - $209,500