Senior DevOps & Automation Engineer (OCI, Multi-Cloud & LLMOpsAgentic Focus)

• Bachelors or Masters degree in Computer Science Information Technology Engineering or a related discipline.
• 58 years of professional experience in DevOps Cloud Engineering Platform Engineering or Software Development.
• Hands-on expertise with Oracle Cloud Infrastructure (OCI) including networking IAM Resource Manager security services and Landing Zone implementations.
• Strong programming skills in Python (including asynchronous programming) Go and/or Java Bash scripting and REST API development.
• Practical experience with Infrastructure as Code using Terraform OpenTofu Ansible and infrastructure automation practices.
• Experience deploying and managing containerized workloads using Docker Kubernetes (OKE preferred) Helm and cloud-native deployment patterns.
• Experience implementing CI/CD and GitOps pipelines using Jenkins GitLab CI GitHub Actions ArgoCD or equivalent platforms.
• Working knowledge of agentic AI frameworks such as LangChain LangGraph CrewAI AutoGen or LlamaIndex including tool calling memory management structured outputs and workflow orchestration.
• Experience with OCI Generative AI Services vector databases AI model deployment or enterprise LLMOps practices.
• Strong understanding of observability monitoring security and operational excellence using OCI Cloud Guard Vault OCI Logging Analytics LangSmith Arize Phoenix or similar platforms.
• Excellent verbal and written English communication skills with the ability to collaborate across distributed teams and produce high-quality technical documentation.

• Experience implementing production-grade autonomous AI agents and multi-agent orchestration platforms.
• Experience integrating OCI-hosted AI solutions with OpenAI Azure OpenAI AWS Bedrock or other enterprise AI platforms.
• Knowledge of service mesh technologies and hybrid or multi-cloud networking architectures.
• Experience working in enterprise financial services banking or highly regulated industries.
• Familiarity with secure software supply chains DevSecOps and policy-as-code frameworks.
• Experience with AI evaluation prompt lifecycle management model governance and tracing frameworks.
• Exposure to Site Reliability Engineering (SRE) practices chaos engineering and platform resiliency.

Oracle Certifications

• Oracle Cloud Infrastructure Generative AI Professional
• Oracle Cloud Infrastructure DevOps Professional
• Oracle Cloud Infrastructure Architect Professional
• Oracle Cloud Infrastructure Multicloud Architect Professional

Industry Certifications

• Certified Kubernetes Administrator (CKA)
• AWS Certified SysOps Administrator Associate
• AWS Certified Developer Associate
• Microsoft Azure Administrator or Azure AI certifications (preferred)

Before applying consider the following:

1. Have you designed and managed enterprise-scale infrastructure on Oracle Cloud Infrastructure (OCI) using Infrastructure as Code and cloud-native best practices
2. Are you proficient in developing production automation using Python Go or Java and integrating these solutions into modern CI/CD and GitOps pipelines
3. Have you deployed operated or supported Kubernetes-based platforms and containerized applications across OCI or other cloud environments
4. Do you have practical experience with LLMOps agentic AI frameworks (such as LangChain LangGraph CrewAI AutoGen or LlamaIndex) or enterprise AI deployment pipelines
5. Can you independently troubleshoot complex cloud infrastructure issues implement self-healing automation and collaborate effectively across geographically distributed engineering teams

• Design deploy and manage secure scalable OCI Landing Zones networking IAM policies and infrastructure using Infrastructure as Code (Terraform OpenTofu and OCI Resource Manager).
• Build deploy monitor and optimize production environments supporting LLMOps platforms multi-agent orchestration frameworks and autonomous AI workloads.
• Develop self-healing DevOps automation by integrating OCI Generative AI services and autonomous agents into CI/CD pipelines incident response rollback mechanisms and operational workflows.
• Develop clean maintainable automation and platform engineering solutions using Python Go Java Bash and REST APIs to support cloud operations and AI-enabled workflows.
• Design and maintain declarative GitOps and CI/CD pipelines using Jenkins GitLab CI GitHub Actions ArgoCD and related DevOps tooling to enable zero-downtime deployments.
• Deploy scale and operate containerized applications and AI agent runtimes using Docker Kubernetes (OKE EKS AKS) Helm and service mesh technologies.
• Enable secure multi-cloud interoperability by integrating OCI with AWS Azure and third-party AI services through FastConnect Direct Connect and secure networking architectures.
• Implement comprehensive observability logging tracing security monitoring and governance using OCI Logging Analytics Cloud Guard Vault LangSmith Arize Phoenix TruLens and related monitoring platforms.

Career Level - IC3