Key Responsibilities:

• Design and implement the cloud-managed platform supporting the GenAI Gateway, prioritizing serverless and multicloud architectures.

• Integrate and operate LLM providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI Gemini, Anthropic, etc.) under a managed-first model.

• Configure and maintain API Gateways (Kong, NGINX, Apigee, or equivalent) for access control, authentication, routing, and security policies.

• Automate infrastructure and deployments using CI/CD and Infrastructure as Code (IaC) tools, applying GitOps and DevSecOps principles.

• Implement security, compliance, and traceability policies across environments and pipelines.

• Manage identities, secrets, and secure configurations (IAM, Parameter Store, Secrets Manager, Vault).

• Define and monitor metrics, observability, and usage telemetry (CloudWatch, X-Ray, OpenTelemetry).

• Participate in defining SLAs, capacity planning, and auto-scaling policies.

• Collaborate with architecture and governance teams to standardize MCP (Model Context Protocol) and A2A (Agent-to-Agent) patterns for interoperability between agents.

Required Skills & Qualifications:

Languages:

• Python: Integration, API, and automation development (FastAPI, asyncio, LangChain).

• Lua: Embedded scripting in gateways (Kong, NGINX/OpenResty, MCP servers) for control, auditing, or policy enforcement.

Infrastructure & Managed Services (AWS core):

• Execution: AWS Fargate (serverless containers)

• Load Balancing: Application Load Balancer (ALB)

• Persistence/Caching: DynamoDB, ElastiCache (Redis)

• Security & Management: Parameter Store, Secrets Manager, IAM, KMS, PrivateLink

• Observability: AWS CloudWatch, X-Ray, CloudTrail, S3

Other Cloud Environments:

• Azure: Azure OpenAI Service, API Management (APIM), Key Vault

• GCP: Vertex AI Gemini, Cloud Run, Secret Manager

• IaC & CI/CD: Terraform, GitHub Actions, Cloud Build, Azure DevOps

Protocols & Frameworks:

• REST, gRPC, MCP (Model Context Protocol), A2A (Agent-to-Agent)

• API Gateway frameworks: Kong, NGINX/OpenResty, Apigee, AWS API Gateway

Security & Compliance:

• mTLS, OAuth2, JWT, Zero Trust architectures

• Encryption in transit and at rest

• DevSecOps controls: scanning, compliance checks, hardening, auditing, and traceability

Observability:

• OpenTelemetry, AWS CloudWatch, X-Ray, and native cloud monitoring tools

Ideal Profile:

• DevSecOps Engineer or Cloud Platform Specialist with hands-on experience in multi-cloud environments, API management, and automation.

• Strong background in secure, lightweight infrastructures (Fargate + ALB + Redis + DynamoDB).

• Proven expertise in API Gateway frameworks (Kong, NGINX, Apigee) for traffic control, authentication, and observability.

• Ability to work cross-functionally with architecture, security, and AI integration teams to enable enterprise-wide GenAI adoption.