Apigee X API Architect | Python & CI/CD Expert

Excelon Solutions; United States; Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Excelon Solutions seeks an experienced API engineer to design, develop, and manage enterprise APIs using Apigee X in the US. You will implement secure API governance, build backend services in Python, and automate deployments with CI/CD pipelines across GitHub, Azure DevOps, Jenkins, and Terraform.

The role emphasizes security, scalable architectures, and leveraging AI-driven capabilities to accelerate design, testing, and documentation across the SDLC.

Formación

• Experience designing enterprise APIs using API management platforms.
• Strong understanding of API security and governance practices.
• Proficient in backend development and automation tooling.
• Familiarity with SDLC acceleration using AI-driven capabilities.

Responsabilidades

• Design, develop, and manage enterprise APIs using Apigee X.
• Develop API integrations, automation utilities, and backend services using Python.
• Build and maintain CI/CD pipelines using GitHub, Azure DevOps, Jenkins, and Terraform to automate API deployments and platform operations.
• Implement API security and governance standards, including OAuth 2.0, JWT, mTLS, API threat protection, monitoring, and compliance controls.
• Leverage AI-driven capabilities, agents, reusable skills, and MCP frameworks to accelerate API design, code generation, testing, documentation, and governance across the SDLC.

Conocimientos

API design

Security governance

Backend development

SDLC

Herramientas

Apigee X

Python

GitHub

Azure DevOps

Jenkins

Terraform

Descripción del empleo

Excelon Solutions seeks an experienced API engineer to design, develop, and manage enterprise APIs using Apigee X in the US. You will implement secure API governance, build backend services in Python, and automate deployments with CI/CD pipelines across GitHub, Azure DevOps, Jenkins, and Terraform.

The role emphasizes security, scalable architectures, and leveraging AI-driven capabilities to accelerate design, testing, and documentation across the SDLC.