Senior Principal AI Cloud Platform & Devsecops Engineer

Oracle Oracle · Enterprise · Canada

Senior Principal AI Cloud Platform & DevSecOps Engineer role at Oracle, focusing on designing, automating, securing, and operating large-scale cloud-native infrastructure and applications on OCI. The role involves leading AI-enabled operational strategy, integrating Generative AI, AI agents, and intelligent automation into DevOps environments, and driving modernization across cloud platform engineering, security, and operational workflows. Requires strong hands-on expertise in DevSecOps, cloud-native platforms, IaC, Kubernetes, CI/CD, observability, cloud security, and IAM, with a minimum of 2 years of experience with AI/GenAI technologies.

What you'd actually do

  1. Designing and implementing enterprise-grade DevSecOps, cloud automation, and infrastructure security solutions
  2. Building and managing scalable CI/CD and GitOps workflows
  3. Implementing Infrastructure as Code using Terraform and Ansible
  4. Managing Kubernetes and container-based cloud platforms
  5. Driving AI-assisted automation and intelligent operational workflows

Skills

Required

  • DevSecOps
  • cloud-native platforms
  • Infrastructure as Code (IaC)
  • Kubernetes
  • CI/CD automation
  • observability
  • cloud security
  • identity and access management
  • Linux administration
  • Terraform
  • Ansible
  • Git
  • Jenkins/GitLab CI/CD
  • Docker
  • Python
  • Bash/Shell
  • PL/SQL
  • secrets management
  • security automation
  • distributed systems
  • high-availability architectures

Nice to have

  • Oracle Cloud Infrastructure technologies (OCI IAM, OCI Vault, OCI SDK, OCI Functions, OCI DevOps, OCI Monitoring, OCI Observability & Management)
  • OCI AI Services, OCI Generative AI, OCI Data Science, AI Agents
  • MLOps pipelines
  • AI model deployment workflows
  • LLMs
  • Generative AI APIs
  • conversational AI
  • Prometheus
  • Grafana
  • ELK/OpenSearch
  • Splunk
  • Datadog
  • cloud governance
  • infrastructure compliance
  • security posture management
  • enterprise IAM frameworks

What the JD emphasized

  • Minimum 2 years of hands-on experience working with AI/Generative AI technologies, AI-enabled automation, AI operational tooling, or AI-assisted engineering workflows
  • Strong experience with Linux administration, Terraform, Ansible, Git, Jenkins/GitLab CI/CD, Docker, and Kubernetes
  • Strong experience with IAM, cloud security, identity management, infrastructure security, secrets management, and security automation
  • Experience implementing observability and monitoring solutions for distributed systems
  • Experience with AI-assisted development, operational automation, intelligent monitoring, or AI-enabled engineering workflows

Other signals

  • integrating Generative AI, AI agents, coding copilots, reusable AI Skills/workflows orchestration, and intelligent automation platforms into DevOps environments
  • Designing AI-enabled operational solutions using AI agents, reusable Skills, workflow orchestration frameworks
  • Evaluating and adopting emerging cloud, AI, automation, platform engineering, and security technologies
  • Minimum 2 years of hands-on experience working with AI/Generative AI technologies, AI-enabled automation, AI operational tooling, or AI-assisted engineering workflows
  • Familiarity with modern AI engineering ecosystems including LLM integrations, AI agents, RAG architectures, vector databases, MCP-based tooling, coding copilots, reusable Skills/workflow orchestration, or AI-assisted developer platforms