Senior Cloud and AI integration Engineer
IND19-01-Bengaluru-EPIP 122 (Phase II), India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Add guardrails validation monitoring for AI usage
- Apply distributed systems best practices
- Build CI/CD pipelines
- Build MCP servers
- Containerize and orchestrate with Docker and Kubernetes
- Design microservices-based applications
- Develop backend services
- Develop prompt engineering and context retrieval pipelines
- Ensure availability resiliency scalability performance observability
- Ensure secure compliant handling of healthcare data
- Implement AI integration orchestration layers
- Implement cloud first API first architecture
- Implement infrastructure-as-code
- Integrate AI-driven features into applications
Perks/Benefits
Skills/Tech-stack
API Design | API first | AWS | Agentic AI | Asynchronous processing | Azure | CI/CD | Caching | Distributed Systems | Docker | Event Driven | Google Cloud | Idempotency | Infrastructure as Code | Kubernetes | LLM | Language Models | Large Language Models | Microservices | Monitoring | Observability | Orchestration | Prompt engineering | Pulumi | RAG | Rate Limiting | Retrieval-Augmented Generation | Terraform | TypeScript | Validation | “as-code”
Education
Roles
Cloud Engineer | Cloud) | Engineer | Senior Software Engineer | Software Engineer
Regions
Countries
States
Cities
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