Cloud Solutions Engineer — AI-Driven Cloud-Native

Redapt inc

Las Vegas (NV)

On-site

USD 150,000 - 170,000

Full time

2 days ago

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Job summary

RedaptInc. is seeking a Senior Software Engineer to join our Cloud Solutions team. You will design, build, and deliver modern cloud-native applications across public, private, and customer-managed environments, using containers, serverless, and APIs.

You will work with AI-assisted tools to accelerate coding, participate in reviews, and help translate requirements into architectures and tasks. Experience with C#, Java, Python, React, TypeScript, CI/CD, and DevOps is valued.

Qualifications

BS or MS in Computer Science preferred, equivalent experience considered.
5+ years as an Engineer with depth on the application and software side of the stack
2+ years of experience developing and automating software delivery workflows, including CI/CD, infrastructure as code, deployment automation, and cloud services. Familiarity with tools such as Terraform.

Responsibilities

Design, develop, test, and deliver modern applications and services across public cloud, private cloud, and customer-managed environments.
Build cloud-native and distributed applications using modern APIs, managed cloud services, containers, serverless technologies, and appropriate application frameworks.
Modernize and migrate existing applications and workloads to cloud platforms, including refactoring, replatforming, and integration with IaaS, PaaS, and SaaS services.
Develop and maintain front-end, back-end, API, and integration components as required by the solution.
Build automated development, testing, deployment, and infrastructure provisioning workflows using CI/CD, infrastructure as code, scripting, and cloud-native tooling.
Analyze existing applications, codebases, dependencies, and workloads to identify modernization opportunities and appropriate implementation strategies.
Translate customer business and technical requirements into well-defined architectures, user stories, engineering tasks, and implementation plans that can be executed across multiple disciplines.
Use AI-assisted development tools and coding agents to accelerate code generation, refactoring, testing, debugging, documentation, and codebase analysis while maintaining appropriate engineering review and quality controls.
Participate in code reviews, automated testing, troubleshooting, performance optimization, security reviews, and production-readiness activities.
Prototype and evaluate new platforms, frameworks, tools, and development methodologies, and help determine when and how they should be incorporated into customer solutions.