PingOne Cloud Engineer
OpenKyber LLC
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Google BigQuery
Cloud Computing
Cloud Engineering
Data Security
Github
Identity and Access Management
Python
Network Security
Management of Software Versions
Google Cloud Platform
Chatbots
Large Language Models
Prompt Engineering
Generative AI
Build Management
Kubernetes
Infrastructure Automation Frameworks
Machine Learning Operations
Terraform
Docker
Microservices
Job description
We are hiring a hands-on Senior Cloud Engineer with Generative AI expertise to build secure, scalable, and compliant AI platforms. The role focuses on enterprise- grade GenAI solutions on Google Cloud Platform (Vertex AI) with exposure to AWS Bedrock, while ensuring strong alignment with governance, security, and regulatory standards., * Design and implement scalable Google Cloud Platform architectures (Vertex AI, GKE, Cloud Run, BigQuery)
- Build and deploy Generative AI solutions (LLMs, RAG, copilots, chatbots) using Vertex AI / AWS Bedrock
- Develop and manage MLOps pipelines (model deployment, monitoring, versioning)
- Implement Infrastructure as Code (IaC) using Terraform or equivalent
- Build and maintain CI/CD pipelines (GitHub Actions or similar)
- Ensure strong cloud networking, secure connectivity, and IAM controls
- Enforce data security, privacy, and compliance standards
- Partner with risk, security, and compliance teams to support governance and MRM requirements
Requirements
- Hands-on experience with Google Cloud Platform (Vertex AI preferred) or AWS (Bedrock)
- Strong experience in Generative AI (LLMs, prompt engineering, embeddings, RAG)
- Deep understanding of cloud networking, VPCs, private connectivity, and network security
- Expertise in IAM, access control, and security best practices
- Hands-on experience with Terraform (or equivalent IaC tools)
- Strong experience with CI/CD pipelines (GitHub Actions preferred)
- Proficiency in Python and microservices-based architecture
- Experience with Docker, Kubernetes (GKE/EKS)
Preferred
- Experience in financial services / regulated environments
- Knowledge of Model Risk Management (MRM) / Responsible AI frameworks
- Familiarity with LangChain, LlamaIndex, vector databases
- Google Cloud Platform or AWS certifications