AI-Enabled Software Engineer, Requirements & Quality

OhioX; Columbus (OH); Hybrid; USD 118,000 - 222,000; Full time

Job summary

Nationwide in Columbus, OH is seeking a Software Engineer focused on AI-enabled requirements and quality engineering. This role collaborates across teams to apply AI-enabled development lifecycle practices, modernize tooling, and drive scalable patterns enterprise-wide.

The position emphasizes mentoring, secure software practices, and DevSecOps adoption to improve delivery quality and efficiency, with a hybrid schedule requiring two days in the Columbus office weekly.

Qualifications

• Undergraduate degree in computer science, MIS, mathematics, or related field preferred.
• Six or more years of programming, software engineering, or systems analysis experience.
• Three years of project management experience preferred.
• Proficiency in Java, C++, Python, and JavaScript.
• Experience building and improving software delivery and test automation.

Responsibilities

• Apply secure software and systems engineering practices throughout the delivery lifecycle to protect data and systems.
• Mentor and train team members on design techniques, tools, and coding standards.
• Provide strategic technical advice on using technology to achieve goals/strategy.
• Drive cross-collaboration and execution of projects across multiple teams.
• Analyze, develop, test, debug, document, and deploy moderately complex software per standards.
• Champion DevSecOps practices to improve quality, security, automation, and delivery efficiency.
• Manage multiple medium to large project priorities, deadlines, and deliverables.

Skills

Java

C++

Python

JavaScript

DevSecOps

Leadership

Cloud

CI/CD

TypeScript

Playwright

Education

Undergraduate CS/MIS/Math/Related

Tools

Playwright

Kafka

TypeScript

Containers

Harness & Pipelines

GitHub Copilot

Job description

Nationwide in Columbus, OH is seeking a Software Engineer focused on AI-enabled requirements and quality engineering. This role collaborates across teams to apply AI-enabled development lifecycle practices, modernize tooling, and drive scalable patterns enterprise-wide.

The position emphasizes mentoring, secure software practices, and DevSecOps adoption to improve delivery quality and efficiency, with a hybrid schedule requiring two days in the Columbus office weekly.