Cloud Solutions Engineer: Microservices & DevOps

Jobtailor; Spring (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor in Spring, TX seeks an experienced software engineer to develop cloud-based solutions using AWS/Azure/GCP and microservices. You will collaborate with the software engineering team to design and deploy scalable cloud applications.

The role requires 4–7 years in distributed/cloud computing, strong Java/JavaScript/Python skills, and familiarity with DevOps, CI/CD, and container technologies like Docker and Kubernetes. Certifications are preferred.

Qualifications

• Bachelor’s degree or equivalent work experience in CS/IT.
• 4–7 years of cloud computing and software design experience.
• Certifications in AWS, Azure, GCP, or CSA preferred.
• Proficiency in Java, JavaScript, Python, React.js, API development, and DevOps.

Responsibilities

• Develop new software solutions and services using cloud development techniques.
• Collaborate with the software engineering team to implement optimal cloud-based solutions.
• Plan, design, and develop cloud-based applications.
• Manage cloud environments following security guidelines.
• Deploy and debug cloud initiatives within CI/CD best practices.
• Lead moderate to high complexity projects and produce professional reports.

Skills

Java

JavaScript

Python

AWS

Microsoft Azure

GCP

DevOps

Microservices

Docker

Kubernetes

API development

React.js

Education

Four-year or graduate degree in Computer Science, Information Technology, or related discipline

Tools

Docker

Kubernetes

Job description

Jobtailor in Spring, TX seeks an experienced software engineer to develop cloud-based solutions using AWS/Azure/GCP and microservices. You will collaborate with the software engineering team to design and deploy scalable cloud applications.

The role requires 4–7 years in distributed/cloud computing, strong Java/JavaScript/Python skills, and familiarity with DevOps, CI/CD, and container technologies like Docker and Kubernetes. Certifications are preferred.