Senior Cloud Solutions Engineer: AI & Microservices

Avaya

United States

On-site

USD 179,000 - 234,000

Full time

23 hours ago
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Job summary

Avaya is seeking a Senior Consulting Engineer in the United States to help lead and expand the Infinity and Nexus teams. You will own features from design through deployment and field support, collaborating with business, product, and technology teams to deliver value in a cloud-based CCaaS and critical communications platform.

The role emphasizes AI/ML integration, scalable cloud architectures, and multi-region deployments.

Qualifications

  • Fluent English required with strong written and verbal communication.
  • Experience using AI coding tools to build innovative products.
  • Experience with one or more cloud platforms (GCP, Azure).
  • Deep understanding of Microservices Architecture and scalable cloud apps.
  • Proficiency with build automation and source control tools (Jenkins, GitLab, GitHub).
  • Experience with containerization and service mesh technologies.

Responsibilities

  • Conduct research to stay updated on cloud AI tech and integrate into products.
  • Enable reliable, scalable, and secure cloud solutions.
  • Provide thought leadership on applying AI/ML to services.
  • Implement architectural ideas and present to stakeholders.
  • Work under tight deadlines and adapt to changing technical challenges.
  • Develop and maintain design and solution documentation for cloud-native tech.

Skills

English fluency
AI tools experience
Cloud platforms
Microservices architecture
Go & Java development

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker
Kubernetes
Spring Boot
GitHub
Terraform
Ansible
Istio

Job description

Avaya is seeking a Senior Consulting Engineer in the United States to help lead and expand the Infinity and Nexus teams. You will own features from design through deployment and field support, collaborating with business, product, and technology teams to deliver value in a cloud-based CCaaS and critical communications platform.

The role emphasizes AI/ML integration, scalable cloud architectures, and multi-region deployments.

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