Infrastructure Engineer

Oracle Oracle · Enterprise · United States

Infrastructure Engineer role focused on designing, deploying, and optimizing AI and HPC solutions on Oracle Cloud Infrastructure (OCI). Responsibilities include architecting GPU/HPC clusters, building automated solutions for infrastructure management, supporting LLM-based applications and agentic AI systems, and acting as a technical advisor to customers. Requires strong scripting, automation, Linux, and cloud infrastructure experience.

What you'd actually do

  1. Work directly with strategic customers and partners across industry verticals to onboard, integrate, and optimize solutions on Oracle Cloud Infrastructure.
  2. Architect and deploy large-scale GPU, HPC, and AI infrastructure on OCI using tools such as Terraform, Ansible, Slurm, Kubernetes, and other automation frameworks.
  3. Build automated solutions for cluster provisioning, software deployment, infrastructure as code, performance monitoring, and capacity planning.
  4. Support LLM-based applications, agentic AI systems, and robotic AI platforms from architecture and design through deployment and production readiness.
  5. Act as a trusted technical advisor to customers, partners, Oracle sales teams, support teams, and engineering organizations.

Skills

Required

  • scripting and automation using tools like Python, Ansible, Terraform, and/or Kubernetes
  • networking concepts, security principles, and best practices
  • communication and collaboration skills
  • problem-solving skills
  • documentation skills
  • 5+ years of experience in Architecture, Operations, and/or System Engineering
  • Recent technical experience designing and/or deploying infrastructure and high-performance computing (including GPU technology) or at least one major public cloud (AWS, GCP, Azure, OCI)
  • Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

Nice to have

  • Proficiency in at least one of the programming languages such as Python, Rust, Go, Java, or Scala
  • Demonstrated ability in writing as indicated by publications of blogs, white-papers, or other technical collateral and presenting to technical and business audiences.
  • track record of improving customer service uptime or satisfaction.
  • At least 5 years experience consulting/interacting with customers, including architects, C level, etc.
  • Familiarity with DevOps practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, GitLab CI/CD, Prometheus).
  • Strong experience with High-Performance Computing, knowledge of GPU technology
  • Multi-Cloud Management exposure

What the JD emphasized

  • AI solutions
  • AI platforms
  • intelligent agentic solutions
  • AI transformation strategy
  • AI adoption
  • AI infrastructure
  • AI systems
  • AI, GPU, HPC
  • AI, GPU, HPC
  • AI, GPU, HPC

Other signals

  • designing and implementing next-generation accelerated computing and AI solutions on Oracle Cloud Infrastructure (OCI)
  • architect and deploy large-scale GPU, HPC, and AI infrastructure on OCI
  • Support LLM-based applications, agentic AI systems, and robotic AI platforms