Manager, ERP Cloud Operations

Oracle; Jalisco; Presencial; MXN 800,000 - 1,200,000; Jornada completa

Descripción de la vacante

A leading cloud solutions provider in Jalisco seeks an experienced Software Engineer to handle end-to-end service ownership, AI/ML design, and operational automation. Candidates should have over 10 years in software engineering with strong skills in Java, Python, and cloud environments. This position emphasizes collaboration across products and requires solid communication skills in English. Competitive benefits and support for work-life balance are offered.

Servicios

Flexible medical options

Life insurance

Retirement options

Volunteer programs

Formación

• 10+ years of software engineering experience in cloud environments.
• Proficient in distributed systems/microservices using Java and Python.
• Expertise in SRE/DevOps including incident response and performance analysis.
• Strong written and verbal communication skills, fluent in English.

Responsabilidades

• Lead service ownership focusing on design for telemetry and resiliency.
• Drive incident management and prevention through coordinated postmortems.
• Design AI/ML solutions with a focus on LLMs and agentic workflows.
• Develop microservices for distributed cloud-native systems.
• Automate operational workflows and improve performance visibility.
• Collaborate cross-functionally to translate requirements into secure solutions.

Conocimientos

Distributed systems

Microservices

Java

Python

SQL

AI/ML

Observability

SRE/DevOps

Educación

BS/MS in Computer Science or related field

Herramientas

CI/CD

Containerization

Linux/Unix

Descripción del empleo

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 with LLMs, RAG, agentic workflows, and conversational AI; build low-latency model serving and retraining pipelines.
• Application engineering: develop performant microservices for distributed, containerized, cloud-native systems.
• 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 - M2

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.