AES - DE - Generative AI Application Developers
Tasks
- Build MCP integrations for Jira GitHub Confluence Salesforce and internal APIs
- Build adapters for REST GraphQL and gRPC internal APIs
- Containerize and deploy MCP servers on Kubernetes with CI CD and GitOps
- Contribute to internal AI platform infrastructure for MCP deployment
- Create developer tooling with CLI SDK wrappers and scaffolding templates
- Design API gateway patterns with rate limiting and audit logging
- Design and implement MCP servers in Python
- Design multi tenant MCP deployment patterns with isolation and quotas
- Design tool schemas for MCP resources and tool calls
- Develop test suites for MCP servers
- Implement MCP transport modes using SSE and stdio
- Implement OAuth 2.0 authentication flows
- Implement observability with logging distributed tracing and dashboards
- Implement secrets management and TLS security controls
- Integrate identity providers for SSO access control
- Provide technical enablement and review integration designs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asyncio | Azure | Azure AD | CI/CD | Datadog | Docker | FastAPI | Flask | GCP | GRPC | GitHub Actions | GitLab CI | GitOps | Google Workspace | Grafana | GraphQL | HTTPx | JWT | Kubernetes | MCP protocol | OAUTH/OIDC | OAuth 2.0 | OAuth PKCE | Okta | Python | REST API | Secrets management | TLS
Education
N/A
Roles
AI | AI Integration Engineer | Backend | Backend Engineer | Developer | Engineer | Integration Engineer | Python | Python Developer
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