Senior Software Engineer - AI-Driven, Low-Latency, AWS/K8s

Vonage

United States

A distancia

USD 120.000 - 160.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Private Medical Insurance and Group P–
Group Pension Plan
Life Insurance
Group Personal Accident coverage
Discretionary Time Off (DTO)
Volunteer Time (VTO)

Descripción de la vacante

Vonage is seeking a software engineer to build frontend and backend solutions with TypeScript, NestJS, and ExpressJS, focusing on quality, fault tolerance, and performance within the Connectors Collection. You will collaborate with product managers and cross-functional teams to deliver world-class products and apply AI-driven approaches to complex tasks.

Ideal candidates bring expertise in AI-driven software development, debugging, and cloud-based environments (AWS, Kubernetes) with experience

Formación

  • Experience building AI-driven software solutions and using AI agents to implement tasks.
  • Strong debugging and problem-solving skills for low-latency, high-throughput systems.
  • Knowledge of cloud technologies such as AWS and Kubernetes, plus automated testing frameworks.

Responsabilidades

  • Develop both frontend and backend solutions using TypeScript and frameworks like NestJS and ExpressJS.
  • Enhance the Vonage Connectors Collection with a focus on quality, fault tolerance, and performance.
  • Collaborate with team members, product managers, and other teams to deliver world-class products.

Conocimientos

AI-driven software development
Debugging and problem-solving
Cloud technologies (AWS)
Low-latency, high-throughput systems
Automated testing frameworks

Herramientas

NestJS
ExpressJS
TypeScript

Descripción del empleo

Vonage is seeking a software engineer to build frontend and backend solutions with TypeScript, NestJS, and ExpressJS, focusing on quality, fault tolerance, and performance within the Connectors Collection. You will collaborate with product managers and cross-functional teams to deliver world-class products and apply AI-driven approaches to complex tasks.

Ideal candidates bring expertise in AI-driven software development, debugging, and cloud-based environments (AWS, Kubernetes) with experience

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