Senior Software & Automation Engineer (Java, AI-Driven Testing)

ARCHER

Plano (TX)

On-site

USD 90,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Health Care Coverage
On-Site Health And Wellness Centers
Retirement Savings Plan
Backup Childcare
Tuition Reimbursement
Mental Health Support
Financial Coaching

Job summary

ARCHER is seeking a software engineer to design, develop, and troubleshoot secure, high-quality software and automation solutions, including automation frameworks and architecture artifacts. You will leverage Core Java, Selenium, and testing frameworks within the SDLC, Agile and CI/CD practices, to improve code quality, testing, delivery, and resiliency.

AI-assisted tools help validate outputs against security standards.

Qualifications

  • Requires formal software engineering training or certification.
  • At least three years of applied automation experience with Java, Selenium, and testing frameworks.
  • Familiarity with Agile, CI/CD practices, and enterprise AI development tools; cloud and load-testing experience preferred.

Responsibilities

  • Design, develop, and troubleshoot secure, high-quality software and automation solutions.
  • Create automation frameworks and produce architecture and design artifacts.
  • Use data and approved AI-assisted tools to improve code quality, testing, delivery, and system architecture while validating outputs against security and resiliency standards.

Skills

Core Java
Selenium
JUnit
TestNG
Cucumber
SoapUI
REST APIs
Automation Framework Development
Maven
Jenkins
Eclipse IDE
IntelliJ IDEA
AI-Assisted Software Development
Agile Scrum
CI/CD
JMeter

Education

Formal software engineering training or certification

Tools

Maven
Jenkins
Eclipse IDE
IntelliJ IDEA
SoapUI

Job description

ARCHER is seeking a software engineer to design, develop, and troubleshoot secure, high-quality software and automation solutions, including automation frameworks and architecture artifacts. You will leverage Core Java, Selenium, and testing frameworks within the SDLC, Agile and CI/CD practices, to improve code quality, testing, delivery, and resiliency.

AI-assisted tools help validate outputs against security standards.

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