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Urgent! Principal Site Reliability Engineer – Cloud, AI/ML, GenAI (Remote) Job Opening In Mexico, Mexico – Now Hiring Oracle

Principal Site Reliability Engineer – Cloud, AI/ML, GenAI (Remote)



Job description

This role requires a SRE mindset combined with AI/ML expertise and strong application engineering skills across public and private cloud environments.

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 (., shell scripting, python, configuration-as-code, task runners).


- Familiarity with enterprise ERP applications and standard DevOps tooling and practices.


Career Level - IC4


Required Skill Profession

Computer Occupations



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