Senior Consulting Engineer

Avaya

. Conduct research on advancements in cloud communication and AI technologies and identify product and service integration opportunities .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $179,127 - $234,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud communication and AI technologies, with a strong focus on developing scalable and secure cloud solutions. Proficient in microservices architecture and deploying applications in multi-region cloud environments, ensuring reliability and performance.

Highest-signal resume keywords

Google Cloud PlatformMicrosoft AzureSpring BootKubernetesAI Coding Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Microservices ArchitectureCloud-Native DesignTerraformAnsibleJavaGoOAuth2OpenID ConnectJenkinsDocker

Soft Skills

Excellent Communication SkillsCollaborationThought LeadershipProblem-SolvingAdaptability

Tools & Technologies

GitHubBitbucketBambooGitLabService Mesh

Industry Keywords

Cloud SolutionsAI TechnologiesLoad BalancersFault ToleranceData Residency

Tech Stack

Tools & technologies

AnsibleAzureCloudDockerGoogle Cloud PlatformJavaJenkinsKubernetesMicroservicesRedisSpringSpring BootSpringBootTerraformGo

About the role

Key responsibilities & impact

Conduct research on advancements in cloud communication and AI technologies and identify product and service integration opportunities
Enable reliable, scalable, and secure cloud solutions
Provide thought leadership on applying AI and machine learning technologies
Implement architectural ideas and present them to stakeholders
Own features from initial design through deployment and field support
Collaborate with business, product, and technology teams to improve cross-functional development processes
Develop and maintain documentation for cloud-native designs and solutions
Work under tight deadlines and respond to dynamic technical challenges

Requirements

What you’ll need

Fluent English speaker with excellent oral and written communication skills
Experience using AI coding tools to create innovative products
Experience with Google Cloud Platform and/or Microsoft Azure
Experience with Spring Boot, Java Web Applications, Spring WebFlux, Docker, Kubernetes, and service meshes such as Istio or Linkerd
Deep understanding of microservices architecture
Ability to horizontally scale web applications to multi-million end users, including load balancers, auto scalers, fault tolerance, and resiliency
Strong understanding of multi-region cloud environments, data residency, and global connectivity requirements
Experience deploying secure Kubernetes clusters with service mesh
Experience developing reusable Terraform, Ansible, and GitHub modules
Knowledge of OAuth2, OpenID Connect, and JWT authentication mechanisms
Experience with Jenkins, Bamboo, or GitLab build automation tools
Experience with Bitbucket or GitHub source control tools
Experience analyzing logs, debugging, and troubleshooting
Knowledge of Go and/or Java
Knowledge of Redis or other caching technologies
Bachelor's degree or equivalent experience
Currently authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits

Comp & perks

Benefits are offered (specific benefits not listed)