Sr Software Engineer - Cloud Automation & AI Systems

Oracle Oracle · Enterprise · Nashville, TN +1

Software Engineer to design and build platform capabilities for an AI-driven incident management system (IRCaaS) within Oracle Cloud Infrastructure. The role focuses on automation, orchestration, AI-enabled workflows, and cloud-native services to transform incident management from manual to automated.

What you'd actually do

  1. Design, develop, test, deploy, and operate cloud-native software services that support AI-powered operational automation and cloud management workflows.
  2. Build intelligent automation, orchestration, and workflow capabilities that reduce manual effort and improve operational efficiency.
  3. Develop AI-assisted services that help users gather context, investigate issues, coordinate response activities, summarize operational state, and recommend next actions.
  4. Create scalable backend services, APIs, data models, and user-facing experiences that support critical operational workflows.
  5. Build integrations across telemetry platforms, observability systems, operational data sources, ticketing systems, collaboration tools, notifications, and workflow engines.

Skills

Required

  • Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
  • 3-5+ years of professional software engineering experience developing production-quality applications or services.
  • Strong programming skills in Java, Python, Go, C#, or similar object-oriented programming languages.
  • Experience designing, developing, and maintaining distributed systems, microservices, or cloud-native applications.
  • Experience building backend services, APIs, workflow systems, automation platforms, or operational tooling.
  • Knowledge of software engineering fundamentals including data structures, algorithms, testing, debugging, and performance optimization.
  • Experience working with service integrations, event-driven architectures, or asynchronous processing patterns.
  • Familiarity with cloud computing concepts and large-scale production systems.
  • Strong problem-solving, communication, and collaboration skills.

Nice to have

  • Experience with Oracle Cloud Infrastructure (OCI), AWS, Azure, or Google Cloud Platform.
  • Experience building workflow automation, orchestration platforms, or event-driven systems.
  • Experience with observability, monitoring, telemetry, logging, tracing, incident management, or service health platforms.
  • Exposure to AI/ML-enabled applications, LLM integrations, retrieval systems, agent-based workflows, or intelligent automation solutions.
  • Experience integrating operational systems such as ticketing platforms, knowledge bases, collaboration tools, or workflow engines.
  • Experience developing internal platforms, developer tools, or operational automation frameworks.
  • Familiarity with Kubernetes, Docker, Terraform, or infrastructure-as-code technologies.
  • Experience working in highly available, mission-critical, or regulated production environments.
  • Interest in applying AI technologies to improve engineering productivity, operational efficiency, and customer outcomes.

What the JD emphasized

  • AI-driven, automated platform
  • AI-assisted decision making
  • AI-enabled workflows
  • AI-driven systems
  • AI initiatives
  • AI/ML-enabled applications
  • LLM integrations
  • agent-based workflows
  • intelligent automation solutions
  • applying AI technologies

Other signals

  • AI-driven, automated platform
  • AI-assisted decision making
  • AI-enabled workflows
  • AI-driven systems
  • AI initiatives
  • AI/ML-enabled applications
  • LLM integrations
  • agent-based workflows
  • intelligent automation solutions
  • applying AI technologies