Senior Software Engineer

Oracle Oracle · Enterprise · Nashville, TN +1

Senior Software Engineer for Oracle Cloud Infrastructure (OCI) App Configuration Service team. The role involves building a new platform service with an AI-first approach, using AI-assisted development, automation, and intelligent operational workflows. Responsibilities include designing, developing, testing, and operating components, improving engineering workflows, and contributing to AI-enabled tools for code review, test generation, documentation, and operational triage. The role requires cloud experience, distributed systems knowledge, and interest in applying AI tools to software engineering.

What you'd actually do

  1. build scalable distributed systems
  2. improve engineering workflows
  3. contribute to AI-enabled tools and automation that support code review, test generation, documentation, operational triage, release workflows, configuration analysis, and engineering knowledge retrieval

Skills

Required

  • 3+ years of software engineering experience
  • Experience developing service-oriented architectures, APIs, or distributed systems
  • Development experience in Java, C++, or C#, as well as scripting languages
  • Experience working with cloud platform teams and accommodating requirements from areas such as compute, networking, search, and storage
  • Written and verbal communication skills with the ability to present complex information clearly and concisely
  • Comfortable working in a collaborative, agile development environment
  • Interest or hands-on experience applying AI-assisted development tools, agents, LLM-based automation, or developer productivity tooling to software engineering workflows
  • Good judgment around safe AI usage, including data privacy, access control, and responsible use of generated code or recommendations

Nice to have

  • Experience building distributed systems, backend services, or operating services in a cloud environment
  • Familiarity with distributed computing and cloud-based platforms
  • Understanding of cross-functional platform feature areas in cloud platforms
  • Experience with CI/CD, automated testing, observability, incident response, or release workflows
  • Experience using AI tools for code generation, code review, test generation, documentation, debugging, operational analysis, or workflow automation
  • Experience improving developer productivity through tools, automation, documentation, or platform workflows

What the JD emphasized

  • build and operate in an AI-first way from the start
  • using AI-assisted development, automation, and intelligent operational workflows
  • shape modern AI-enabled engineering practices
  • applying AI-assisted development tools, agents, LLM-based automation, or developer productivity tooling to software engineering workflows
  • Good judgment around safe AI usage, including data privacy, access control, and responsible use of generated code or recommendations

Other signals

  • AI-first way from the start
  • AI-assisted development
  • intelligent operational workflows
  • AI-enabled engineering practices
  • AI-enabled tools and automation