Senior Cloud Engineer - Google Cloud Platform/AWS

Description : Excellent Communication Skills.

Role Summary :

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 GCP (Vertex AI) with exposure to AWS Bedrock, while ensuring strong alignment with governance, security, and regulatory standards.

Key Responsibilities :

- Design and implement scalable GCP 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

Required Skills :

- Hands-on experience with GCP (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

- GCP or AWS certifications