Main Responsibilities
- Design comprehensive end-to-end AI architecture for 1000 concurrent users including Claude integration strategy MCP server components and enterprise roadmap
- Define integration patterns for Claude API MCP protocol and manage data flows across distributed AI solution stack
- Architect enterprise-grade solutions with focus on high availability auto-scaling and performance optimization
- Design and implement enterprise SSO identity management RBAC and security controls including identity pass-through mechanisms
- Establish monitoring observability and alerting frameworks for production-scale AI systems
- Set standards for security performance scalability and reliability across front-end API gateway and backend infrastructure
- Design disaster recovery backup strategies and multi-region deployment architectures
- Provide technical leadership for DevSecOps practices and CI/CD pipeline design
- Architect data governance frameworks audit logging and compliance controls
- Design cost optimization strategies for cloud resources at enterprise scale
- Provide technical guidance and troubleshoot complex integration challenges across the entire solution
Qualifications :
Required Skills
- Extensive Python experience (5 years) for MCP servers backend AI infrastructure and performance optimization
- Enterprise architecture expertise (7 years) with proven experience scaling systems to 1000 concurrent users
- Claude API integration and deep understanding of MCP protocol implementation and optimization
- Enterprise security architecture including SSO SAML OAuth 2.0 OIDC identity federation and threat modeling
- System design expertise for high availability auto-scaling load balancing and enterprise-grade AI solutions
- Database architecture (SQL and NoSQL) with performance tuning sharding and data governance
- API Gateway and middleware design for enterprise integration patterns and rate limiting
- DevOps/SRE practices including infrastructure as code monitoring and incident response
- Cloud platforms expertise (AWS preferred) with AI/ML services auto-scaling and cost optimization
Preferred Experience
- Production AI/ML platform deployments supporting 1000 concurrent users
- Container orchestration (Docker Kubernetes) and microservices architecture
- Enterprise authentication providers (Entra ID Okta Auth0) integration experience
- Compliance frameworks (SOC 2 GDPR HIPAA) implementation in AI systems
- Performance engineering including load testing caching strategies and optimization
- Full-stack development experience with modern frameworks (React Angular)
- Observability tools (Prometheus Grafana ELK stack Datadog New Relic)
- Multi-cloud or hybrid cloud architecture experience
Additional Information :
Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race creed color national origin sex age disability or marital status.
Remote Work :
Yes
Employment Type :
Full-time