About the Role :

The Software Engineer Associate Manager puts the system user at the center of everything they do, ensuring that users receive the most value out of the products being developed. They develop test-driven code daily, own their application in production, and are accountable for digital product success.

Key Responsibilities :

- Design and implement enterprise-grade AI Gateway solutions using Kong AI Gateway.

- Configure AI-specific policies including prompt logging, content filtering, token controls, and guardrails.

- Enable secure access to multiple LLM providers through a unified gateway architecture.

- Implement AI observability, token analytics, usage tracking, and cost governance.

- Develop routing strategies across multiple AI models based on latency, cost, and availability.

- Integrate RAG-based AI services through secure API management frameworks.

- Ensure compliance with enterprise AI governance, security, and regulatory requirements.

- Establish AI platform standards, reusable AI APIs, and best practices for GenAI adoption.

- Support AI agent and MCP-based integrations within enterprise ecosystems.

- Drive AI platform reliability, scalability, and operational excellence.

- Configure, administer, and support Kong Gateway environments.

- Develop and manage AI Gateway proxies for GenAI/LLM services.

- Implement API security, authentication, throttling, and governance policies.

- Integrate AI platforms such as Azure OpenAI and OpenAI through secure API gateways.

- Deploy and manage Kong in Kubernetes-based environments.

- Monitor, troubleshoot, and optimize gateway performance and availability.

- Automate deployments and operational processes using DevOps tools.

Tech Stack :

- Kong Gateway (OSS/Enterprise), Kong Konnect, API Lifecycle Management.

- AI Gateway / LLM Proxy Development, OpenAI / Azure OpenAI Integration.

- REST APIs, GraphQL, OAuth2, JWT, OIDC, API Security.

- Kubernetes, Docker, Helm, CI/CD (Jenkins, GitHub Actions, Azure DevOps).

- Prometheus, Grafana, ELK/Splunk, Azure/AWS/GCP.

- Multi-LLM Integration (Anthropic Claude, Google Gemini, Mistral, Llama), RAG Architecture, Vector Databases.

- LLMOps, AI Observability, Prompt Management, AI Governance.

Experience :

- 3 - 9 years of experience in API Management, Middleware, or Platform Engineering.

- Minimum 3 to 5 years of hands-on experience with Kong Gateway Administration.

- Experience with cloud-native and microservices architectures preferred.