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.

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.

AI Platform Engineer

Key skills