Sr Software Engineer - Cloud Automation & AI Systems

Software Engineer 3 – Cloud Automation & AI Systems

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.

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.

• 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.

• 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.

• 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…