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
**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.

📌 Operations Engineer (Zapopan)
🏢 Oracle
📍 Zapopan