Sr Software Engineer - Cloud Automation & AI Systems

About the role

Oracle Cloud Infrastructure (OCI) is transforming incident management through Incident Response Center as a Service (IRCaaS), an initiative aimed at automating and orchestrating incident handling processes using AI.

Responsibilities

• Design, develop, test, deploy, and operate cloud-native software services supporting AI-powered operational automation and cloud management workflows.
• Build intelligent automation, orchestration, and workflow capabilities to reduce manual effort and enhance operational efficiency.
• Create AI-assisted services for context gathering, issue investigation, coordination, summary generation, and action recommendation.
• Develop scalable backend services, APIs, data models, and user interfaces for 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 to 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 automation opportunities, and develop solutions to improve resiliency and customer outcomes.
• Help establish patterns and best practices for AI-enabled automation and autonomous operations that can be applied across future OCI initiatives.
• 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.

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 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 Qualifications

• 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.

Pay

Hiring Range in USD: $89,200 - $209,500 per year. May be eligible for bonus and equity.

Schedule

Not specified.