Senior Cloud Automation & AI Systems Engineer

Oracle

Honolulu (HI)

On-site

USD 89,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision
401(k) matching
Paid time off

Job summary

Oracle is seeking a Software Engineer 3 for Cloud Automation & AI Systems in Hawaii. You will design and build platform capabilities powering AI-driven automation, orchestration, and cloud-native services across the full incident lifecycle, from detection to closure.

You will work on scalable backend services, APIs, and intelligent workflows that automate and optimize incident response, with strong collaboration across product, SRE, and operations teams.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
  • 3–5+ years of professional software engineering experience.
  • Strong programming skills in Java, Python, Go, C#, or similar object-oriented 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 data structures, algorithms, testing, debugging, and performance optimization.
  • Experience 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.

Responsibilities

  • Design, develop, test, deploy, and operate cloud-native software services that support AI-powered operational automation and cloud management workflows.
  • Build intelligent automation, orchestration, and workflow capabilities that reduce manual effort and improve operational efficiency.
  • Develop AI-assisted services that help users gather context, investigate issues, coordinate response activities, summarize operational state, and recommend next actions.
  • Create scalable backend services, APIs, data models, and user-facing experiences that support critical operational workflows.
  • Build integrations across telemetry platforms, observability systems, operational data sources, ticketing systems, collaboration tools, notifications, and workflow engines.
  • Develop event-driven architectures and automation frameworks that improve reliability, consistency, and auditability of operational processes.
  • Collaborate with product managers, engineers, SREs, and operational stakeholders to define requirements and deliver high-impact solutions.
  • Contribute to platform governance, security, compliance, and operational excellence practices.
  • Analyze production issues, identify opportunities for automation, and develop solutions that improve resiliency and customer outcomes.
  • Participate in architecture reviews, design discussions, code reviews, testing, and engineering best practices.
  • Measure and optimize service performance, scalability, reliability, and operational effectiveness through data-driven improvements.
  • Help establish patterns and best practices for AI-enabled automation and autonomous operations that can be leveraged across future OCI initiatives.
  • Contribute to a culture of innovation, ownership, continuous learning, and operational excellence.

Skills

Java
Python
Go
C#
Distributed systems
Backend services
APIs & microservices
Cloud concepts
Problem solving
Communication

Education

Bachelor's degree in Computer Science/Engineering

Tools

Kubernetes
Docker
Terraform

Job description

Oracle is seeking a Software Engineer 3 for Cloud Automation & AI Systems in Hawaii. You will design and build platform capabilities powering AI-driven automation, orchestration, and cloud-native services across the full incident lifecycle, from detection to closure.

You will work on scalable backend services, APIs, and intelligent workflows that automate and optimize incident response, with strong collaboration across product, SRE, and operations teams.

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