Mandatory Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 5–8 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.
Good-to-Have Qualifications
- 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.
Preferred Certifications (Minimum Two Preferred)
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)
Self-Assessment Questions
Before applying, consider the following:
- Have you designed and managed enterprise-scale infrastructure on Oracle Cloud Infrastructure (OCI) using Infrastructure as Code and cloud-native best practices?
- Are you proficient in developing production automation using Python, Go, or Java and integrating these solutions into modern CI/CD and GitOps pipelines?
- Have you deployed, operated, or supported Kubernetes-based platforms and containerized applications across OCI or other cloud environments?
- Do you have practical experience with LLMOps, agentic AI frameworks (such as LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex), or enterprise AI deployment pipelines?
- 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