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Senior Core Infrastructure Software Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Oracle
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, Backend Developer
Salary/Wage Range or Industry Benchmark: 92500 - 209500 USD Yearly USD 92500.00 209500.00 YEAR
Job Description & How to Apply Below

Job Description

The Senior Core Infrastructure Software Engineer is a senior, hands‑on software engineer 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.

Responsibilities
  • Implements and contributes to the development of components of distributed systems that support horizontal and vertical scaling, including leveraging distributed state management tools.
  • Designs, implements, and delivers scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi‑step task orchestration, and safe human‑in‑the‑loop escalation.
  • Implements 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.
  • Optimizes services for high‑throughput, low‑latency, and large‑scale cloud workloads.
  • Implements systems that handle network unreliability, service disruptions, and partition scenarios while meeting SLOs.
  • Establishes telemetry, KPIs, dashboards, and alerts to monitor service health, performance, reliability, and customer impact.
  • Drives performance testing, load testing, fault injection, brownout testing, and other validation strategies to ensure correctness and resiliency.
  • Implements secure infrastructure controls for multi‑tenant cloud environments, including access controls, encryption, and remediation of security gaps.
  • Develops 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.
  • Takes 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.
  • Strengthens 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 Lang Graph, Lang Chain, CrewAI, Auto Gen, Llama Index, 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.
Benefits
  • US Salary Range: $92,500 – $209,500 per year (eligible for bonus and equity).
  • Medical, dental, and vision insurance.
  • Short‑term…
Position Requirements
10+ Years work experience
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