Azure API Management Consultant (Part Time)

Azure API Management Consultant (Part Time)

Posted Today by 1761835840

Negotiable
Outside
Remote
USA

Summary: The Azure API Management Consultant (Part Time) role involves configuring diagnostic settings, establishing API connections, and implementing security measures within Azure API Management. The consultant will focus on enhancing observability, performance, and security for API interactions while ensuring efficient management of API consumption. This position requires hands-on experience with Azure API Management and OpenAI technologies.

Key Responsibilities:

  • Configure diagnostic settings in APIM to stream logs to Log Analytics Workspace (LAW).
  • Enable centralized monitoring and visibility through the APIM console.
  • Establish API connections and backend pools to support regional load balancing across multiple APIM instances.
  • Implement endpoint-level token quotas to manage and control API consumption.
  • Enable semantic caching in APIM to reduce repetitive LLM requests and improve latency.
  • Configure private endpoints within VNet/Subnet to ensure secure, internal-only communication between APIM and backend APIs.
  • Integrate Microsoft Entra ID to enforce token-based access restrictions, apply usage quotas, and strengthen governance.

Key Skills:

  • Prior hands-on experience and expertise implementing Azure API Management as an AI Gateway fronting Open AI.
  • Azure API Mgmt
  • OpenAI
  • Azure

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Responsibilities:

Scope 1:

  • Configure diagnostic settings in APIM to stream logs to Log Analytics Workspace (LAW).
  • Enable centralized monitoring and visibility through the APIM console.
  • Establish API connections and backend pools to support regional load balancing across multiple APIM instances.

Expected Outcomes:

  • Improved observability and traceability across all API interactions.
  • Early detection and resolution of performance or availability issues.
  • Foundational setup for regional scalability and traffic optimization.

Scope 2:

  • Implement endpoint-level token quotas to manage and control API consumption.
  • Enable semantic caching in APIM to reduce repetitive LLM requests and improve latency.

Expected Outcomes:

  • Controlled token utilization, minimizing risk of service throttling or overuse.
  • Enhanced performance and response times through intelligent caching.
  • Optimized cost efficiency by reducing redundant LLM calls.

Scope 3:

  • Configure private endpoints within VNet/Subnet to ensure secure, internal-only communication between APIM and backend APIs.
  • Integrate Microsoft Entra ID to enforce token-based access restrictions, apply usage quotas, and strengthen governance.

Expected Outcomes:

  • Enhanced security posture by eliminating public exposure of internal endpoints.
  • Centralized identity-based access control and improved compliance alignment.
  • Strengthened governance and auditability across all API traffic.

Required Skills

  • Prior hands-on experience and expertise implementing Azure API Management as an AI Gateway fronting Open AI.
  • Azure API Mgmt
  • OpenAI
  • Azure