Operations Engineer

Job Description Oracle, the world leader in Enterprise Cloud, is hiring the best and brightest technologists in the industry as we continue to add customer‑centric, premier, leading‑edge, secure, hyper‑scale solutions throughout all levels of the cloud stack. Oracle’s cloud eco‑system is the only complete business cloud platform on the planet, with market leading and business‑transforming solutions spanning SaaS, DaaS, PaaS and IaaS. Oracle’s Cloud applications, such as Enterprise Resource Management, Customer Relationship Management, Human Capital Management, and Supply Chain Management are used by thousands of customers across the globe and are the broadest, most innovative in the industry, providing businesses with adaptive intelligence, standardized business processes and competitive advantage at low cost. The Enterprise Resource Management (ERP) release engineering team is looking for high‑caliber individuals who are passionate, innovative, and value being part of a team that is focused on transforming the development of cloud‑based enterprise business applications. Applicants must have a strong, self‑driven desire to learn, problem solve, and deliver creative integrated solutions that leverage the latest technology has to offer including AI/ML, GenAI technology (LLMs, RAG, low‑latency model serving and retraining pipelines) and experiences (agentic workflows and conversational AI). The ideal candidate is capable of operating comfortably in a complex ecosystem of teams/tools/timelines, at pace, and under dynamic conditions. This is not a good fit for everyone. We put the customer first, whether it is our internal or external customer. Our goal is to continually seek ways to optimize the productivity, and efficiency of the Oracle Fusion Applications factory. If you share our passion for excellence, and the ceaseless pursuit of innovation through the use of AI/ML, GenAI and traditional automation to deliver touchless solutions, this position may be for you. The Operations Engineer – Release Engineering is a technical hands‑on role focused on operating and evolving a next generation, fully automated cloud software delivery pipeline. Career Level : IC2 Qualifications Responsibilities Key Responsibilities Operate, monitor and maintain the ERP software delivery pipeline, focusing on CI/CD, source code management/builds, development environments, testing and delivery. Incident management and prevention: participate in postmortems/RCAs, coordinate fixes, define repair items, and implement data‑driven prevention and continuous improvement. Automation AI/ML and GenAI integrated solutions: Eliminate toil by automating ERP software delivery pipeline operational workflows, code delivery, configuration management, recovery procedures, as well as internal tools and reusable scripts/services to accelerate delivery and reduce errors. As part of a team, contribute to the design & development of AI/ML and GenAI integrated solutions with LLMs, RAG, agentic workflows, and conversational AI. Observability: As part of a team define and implement monitoring, logging, alerting, and tracing strategies; improve diagnostics and performance visibility for rapid triage. Cross‑functional collaboration: partner with product, operations, internal ERP tooling teams to translate requirements into secure, scalable solutions; communicate effectively with technical and non‑technical stakeholders. Minimum Qualifications BS/MS in Computer Science, Engineering, or equivalent work experience. 1-2 years of release engineering experience. Strong troubleshooting, problem‑solving, and analytical skills. Familiarity with Linux environments, especially Oracle Linux. Strong scripting skills (Groovy, Go, Python, Linux shell scripting, etc.). In‑depth understanding of source code management concepts and experience with modern systems (e.g., git). Experience with CI release engineering tools (e.g., Jenkins/Hudson, Maven/Gradle), and monitoring tools (e.g., Prometheus, Grafana). SDLC experience: development & code quality/review practices, codeline & change management practices, CI/CD, testing methodologies & tooling. Excellent communication skills both written and verbal. Able to convey technical content to both technical and non‑technical audiences. MUST BE a dedicated, proactive go‑getter capable of operating in a dynamic, fast‑paced working environment. Preferred Additional Domain Knowledge AI/ML/GenAI experience with foundational models, RAG, agentic architectures; model deployment, optimization, monitoring, and retraining. Observability: hands‑on experience designing dashboards, alerts, traces, logs, and metrics; defining SLOs/SLIs and error budgets; on‑call readiness and runbook quality. 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). Proficient in distributed systems/microservices using java / python; SQL/data modeling; python for AI/automation as well as Oracle Database (RDBMS). Cloud and containers: experience with containerization, orchestration, and resilient, fault‑tolerant microservices. #J-18808-Ljbffr