Sr Software Engineer - Cloud Automation & AI Systems

Oracle•Nashville, TN

15h

About The Position

Oracle Cloud Infrastructure (OCI) is building the future of cloud operations through Incident Response Center as a Service (IRCaaS), a strategic initiative focused on transforming incident management from a highly manual process into an AI-driven, automated platform. Today, thousands of customer-impacting incidents are managed across OCI every year, with a significant portion of engineering effort spent on coordination, communication, workflow execution, and post-incident analysis rather than direct remediation. IRCaaS is designed to automate and orchestrate these activities through intelligent workflows, AI-assisted decision making, and scalable platform services that improve operational efficiency and accelerate incident resolution. As a Software Engineer 3, you will play a key role in designing and building the platform capabilities that power this transformation. You will work across automation, orchestration, user experience, governance, AI-enabled workflows, and cloud-native services to create a highly scalable system that supports the full incident lifecycle—from detection and declaration through investigation, response, recovery, implementation, and closure. This role offers a unique opportunity to work on one of OCI's strategic operational transformation initiatives while developing expertise in AI-driven systems, cloud-scale automation, distributed services, and operational excellence. Engineers on this team will help shape the future of autonomous cloud operations and will be well positioned to influence future AI initiatives across the broader organization.

Requirements

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 Haves

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.

Responsibilities

Designing and building platform capabilities for incident management transformation.
Working across automation, orchestration, user experience, governance, AI-enabled workflows, and cloud-native services.
Creating a highly scalable system that supports the full incident lifecycle.
Developing expertise in AI-driven systems, cloud-scale automation, distributed services, and operational excellence.
Shaping the future of autonomous cloud operations.
Influencing future AI initiatives across the broader organization.