AI Platform Engineer
Posted 1hrs ago
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Job Description
AI Platform Engineer responsible for platform foundation, supporting ERP Suites' AI products. Collaborating with teams to manage, secure, and optimize Oracle Cloud Infrastructure.
Responsibilities:
- Monitor OCI service health, logs, dashboards, and alerts.
- Troubleshoot platform issues and customer environment concerns.
- Support development teams with infrastructure questions and deployment needs.
- Manage CI/CD pipeline performance and resolve deployment failures.
- Execute provisioning, onboarding, and configuration requests.
- Update documentation and architecture artifacts as infrastructure evolves.
- Participate in standups, planning meetings, and technical reviews.
- Review OCI consumption reports, billing dashboards, and cost optimization opportunities.
- Conduct IAM, security, and credential audits.
- Evaluate reference architecture environments for configuration drift and required updates.
- Refine deployment methodologies, runbooks, and onboarding documentation.
- Assess Oracle OCI roadmap updates and emerging platform capabilities.
- Contribute technical documentation, architecture guidance, and internal knowledge-sharing content.
Requirements:
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
- 2+ years of experience in AI Platform Engineering, Infrastructure Engineering, MLOps, DevOps, or Cloud Engineering.
- Strong experience with Oracle Cloud Infrastructure (OCI), including:
- Experience deploying and supporting AI agents, microservices, or cloud-native applications.
- Experience with monitoring and observability platforms such as Grafana, LangFuse, OCI Logging, and Metrics APIs.
- Knowledge of TLS, DNS, ACME protocols, Let's Encrypt, and certificate automation.
- Experience with CI/CD tools, source control, deployment pipelines, and artifact management.
- Proficiency in Python, SQL, and Bash scripting.
- Strong technical writing, documentation, and architecture diagramming skills.
- Excellent communication and collaboration skills.
Benefits:
- Flexible work arrangements
- Professional development opportunities

















