15 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and architect reliable, scalable infrastructure and services while forecasting demand and managing capacity.
- Perform incident response, root-cause analysis, troubleshooting, maintenance, provisioning, and post-mortem activities for production services.
- Build monitoring, observability, alert-correlation, notification, escalation, and automated remediation capabilities.
- Develop reusable AI/LLM agents that use monitoring data, incident history, and remediation actions to recommend operational next steps.
- Create Python automation tools and backend services to gather metrics, analyze issues, mitigate failures, and improve reliability.
- Provide health, performance, capacity, security, and service-impact reporting and communicate changes across teams.
- Participate in on-call rotations, resolve issues across multiple services, and help achieve SLOs.
- Evaluate new tools and approaches, improve performance and deployment efficiency, and mentor junior team members.
- Coordinate moderately complex projects and initiatives, provide technical oversight, and participate in candidate interviews.
Requirements
- 5+ years of hands-on experience across software development, site reliability engineering, monitoring, and automation, including ownership of production platforms.
- Strong Python programming skills and experience developing backend services, integrations, and event-driven workflows.
- Experience building monitoring and observability solutions using alerts, metrics, logs, and service context.
- Hands-on experience integrating AI/LLM capabilities into applications for incident analysis, recommendations, and operational decision support.
- Experience building reusable agents, alert-correlation and prioritization systems, and automated remediation workflows with controls, validation, audit trails, and safeguards.
- Experience integrating monitoring platforms with incident-management systems, knowledge repositories, notification services, and escalation workflows.
- Strong understanding of distributed systems, Linux, networking, databases, and application performance.
- Experience with automated testing, code reviews, CI/CD, version control, and secure development practices.
- Ability to evaluate platform reliability and AI output quality and improve capabilities using engineer feedback.
- Excellent communication and collaboration skills with monitoring teams, service owners, and engineers.
- Preferred experience with agentic AI frameworks, tool calling, retrieval-augmented generation, vector databases, anomaly detection, time-series analysis, predictive techniques, centralized notification services, and incident communication workflows.
- Preferred familiarity with OCI, Kubernetes, Terraform, Ansible, OCI Observability, Prometheus, Grafana, Oracle Database, Exadata, SLOs, error budgets, and incident metrics.
- Preferred experience using AI coding assistants to improve operational scripts and validate proposed changes.
Benefits
- Competitive benefits including flexible medical, life insurance, and retirement options.
- Employee volunteer programs supporting community involvement.
Tech Stack
Categories
AI ApplicationsSite Reliability
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.