The Oracle ERP Cloud Operations team is looking for passionate innovative high caliber team oriented people that seek being a major part of a transformative revolution in the development of modern business cloud based applications. As part of the market leading ERP Cloud Oracle ERP Cloud Operations offers a broad suite of modules and capabilities designed to empower the development organization with world-class service reliability engineering disciplines and deliver customer success with streamlined process increased productivity and improved business decisions.
Service Reliability Engineer will work on latest and greatest software stack to provide exceptional service to internal and external customers. Ideal candidate will have a solid understanding of microservices architecture with hands on experience in Kubernetes Prometheus Grafana . You will be responsible for the full-stack service reliability from APP to Database in the Oracle Cloud.
Key Responsibilities
- End-to-end service ownership: design for telemetry security resiliency scalability and performance; lead sizing/architecture; drive service health reviews and process simplification.
- Incident management and prevention: lead postmortems/RCAs coordinate fixes define repair items and implement data-driven prevention and continuous improvement.
- AI/ML and GenAI delivery: design and integrate solutions such as LLMs RAG agentic workflows and conversational AI; build low-latency model serving and retraining pipelines; create PoCs in java / python and productionize them.
- Application engineering: develop performant microservices for distributed containerized cloud-native systems in java / python; apply SDLC best practices and CI/CD.
- Automation: eliminate toil by automating operational workflows recovery procedures code delivery and configuration management; build internal tools and reusable scripts/services to accelerate delivery and reduce errors.
- Observability: define and implement monitoring logging alerting and tracing strategies; establish SLOs/SLIs/error budgets; improve diagnostics and performance visibility for rapid triage.
- Cross-functional collaboration: partner with product operations and data teams to translate requirements into secure scalable solutions; communicate effectively with technical and non-technical stakeholders.
Minimum Qualifications
- BS/MS in Computer Science or related field; 10 years of software engineering in cloud environments.
- Strong in distributed systems/microservices using java / python; SQL/data modeling; python for AI/automation.
- SRE/DevOps expertise: systems and networking fundamentals application security observability performance analysis and incident response.
- Proven SDLC excellence: code quality reviews version control CI/CD testing and release engineering.
- Excellent written and verbal communication; English fluency.
Preferred/Technical Skills
- AI/ML/GenAI: experience with foundational models RAG agentic architectures; model deployment optimization monitoring and retraining.
- Cloud and containers: experience with containerization orchestration and resilient fault-tolerant microservices.
- Observability: hands-on experience designing dashboards alerts traces logs and metrics; defining SLOs/SLIs and error budgets; on-call readiness and runbook quality.
- Operations: performance tuning across java / python and SQL for large-scale enterprise applications; strong Linux/Unix expertise; capacity planning and reliability reviews.
- Automation and scripting: proficiency in scripting to automate operational workflows build tooling and CI/CD tasks (e.g. shell scripting python configuration-as-code task runners).
- Familiarity with enterprise ERP applications and standard DevOps tooling and practices.
Career Level - IC5
Required Experience:
Staff IC
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