Lead Enterprise Apps Engineer: AI-Driven Modernization

Veritas Search Group; Tustin (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Veritas Search Group is seeking a Lead Engineer, Enterprise Applications to drive modernization of large-scale application portfolios. You will lead delivery from requirements through production, overseeing web, mobile, and cloud-native apps while improving scalability, reliability, and cost efficiency.

The role focuses on AI-enabled development, cloud adoption, and DevOps practices, with mentorship of engineers and collaboration across teams to ensure modernization ROI.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 8+ years of software development experience, including 5+ years leading engineering teams and modernization initiatives.
• Experience delivering customer-facing applications and leading enterprise transformation initiatives.

Responsibilities

• Lead end-to-end delivery of web, mobile, and cloud-native applications using modern frameworks and architectures.
• Define and govern technical architecture, development standards, and technology stack selection.
• Lead Agile development activities, including sprint planning, backlog refinement, and release management.
• Incorporate AI-assisted development tools to improve productivity and quality.
• Mentor engineers, conduct code reviews, and promote modern software development practices.
• Partner with product owners and stakeholders to align modernization with business goals.

Skills

JavaScript/TypeScript

React

Node.js

AWS

Azure

Docker

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Jira

GitHub Actions

Jenkins

Terraform

Docker

Kubernetes

Job description

Veritas Search Group is seeking a Lead Engineer, Enterprise Applications to drive modernization of large-scale application portfolios. You will lead delivery from requirements through production, overseeing web, mobile, and cloud-native apps while improving scalability, reliability, and cost efficiency.

The role focuses on AI-enabled development, cloud adoption, and DevOps practices, with mentorship of engineers and collaboration across teams to ensure modernization ROI.