GenAI Cloud Migration Engineer (Azure to AWS/GCP)

Cognizant; Carson City (NV); Remote; USD 91,000 - 155,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Disability insurance

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Frontier Engineer to pilot and migrate a cloud-native payment hub from Azure to AWS and GCP, leveraging GenAI to accelerate delivery. You will collaborate with a cross-functional team across development, QA, cloud, and DB engineering to deliver the pilot.

The role emphasizes Reactivity to migration, cloud-native development, and GenAI tooling to optimize testing and deployment. Remote US-based with potential in-person interviews as needed.

Qualifications

• Experience as a Frontier Engineer with GenAI tools such as Devin, Claude, Codex, and GitHub Copilot.
• Polyglot development expertise in Java and Spring Boot.
• Strong API development experience.
• Hands-on experience building user interfaces with Angular.
• Cloud development experience on AWS and/or GCP.

Responsibilities

• Utilize GenAI tools to migrate API and UI code from Azure to AWS and GCP.
• Develop and enhance API and UI components using Java, Spring Boot, and Angular.
• Design and build cloud-native solutions on AWS and GCP, including CI/CD DevOps pipelines.
• Apply GenAI tools to accelerate testing and QA activities.
• Collaborate across development, QA, cloud and DB engineering workstreams.

Skills

GenAI tools

Java

Spring Boot

Angular

APIs

AWS

GCP

Tools

GitHub Copilot

DevOps tools

CI/CD

Job description

Cognizant is seeking a Frontier Engineer to pilot and migrate a cloud-native payment hub from Azure to AWS and GCP, leveraging GenAI to accelerate delivery. You will collaborate with a cross-functional team across development, QA, cloud, and DB engineering to deliver the pilot.

The role emphasizes Reactivity to migration, cloud-native development, and GenAI tooling to optimize testing and deployment. Remote US-based with potential in-person interviews as needed.