Senior Cloud and AI Integration engineer
IND19-01-Bengaluru-EPIP 122 (Phase II), India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply cloud first API first architecture
- Build CI/CD pipelines
- Build MCP servers and supporting components
- Containerize services with Docker
- Design microservices-based applications
- Develop backend services with testable code
- Develop prompt engineering and context retrieval pipelines
- Ensure availability resiliency scalability performance observability
- Ensure secure compliant handling of healthcare data
- Implement AI guardrails validation monitoring safety
- Implement distributed systems best practices fault tolerance idempotency caching event driven patterns
- Implement infrastructure-as-code
- Integrate context providers adapters orchestration layers for AI
- Integrate hosted AI platforms into applications
- Lead system architecture decisions in design reviews
- Orchestrate services with Kubernetes
Perks/Benefits
Skills/Tech-stack
API first | Agentic AI | CI/CD | Caching | Cloud Native | Data Compliance | Distributed Systems | Docker | Event Driven | Event-driven architecture | Fault Tolerance | Healthcare Data | Healthcare data compliance | Idempotency | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Microservices Architecture | Model Context Protocol | Monitoring | Observability | Prompt engineering | Pulumi | Rate Limiting | Retrieval-Augmented Generation | Security | Terraform | TypeScript | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Integration Engineer | Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | Integration Engineer | Software Engineer
Regions
Countries
States
Cities
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