Lead Application Engineer

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

This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is onsite near Tustin, CA.

Position Summary

We are seeking a Lead Engineer, Enterprise Applications to lead the design, development, modernization, and lifecycle management of enterprise application portfolios. This role will oversee end-to-end application delivery, from requirements through production, while improving scalability, cost efficiency, reliability, and business agility.

The Lead Engineer will play a key role in application modernization, cloud adoption, application portfolio rationalization, AI enablement, and the implementation of modern engineering and DevOps practices.

Key Responsibilities

Application Development & Technical Leadership

• 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, including code generation, automated testing, and documentation tools, to improve engineering productivity and quality.
• Evaluate and integrate AI/ML capabilities into applications, including intelligent workflows, predictive insights, and conversational interfaces.

Application Modernization & Portfolio Management

• Assess enterprise application portfolios to identify redundancy, technical debt, and opportunities for consolidation or modernization.
• Develop and execute application rationalization strategies, including application retirement, consolidation, and migration to cloud or SaaS platforms.
• Lead modernization initiatives involving microservices, API enablement, containerization, and legacy application transformation.
• Utilize AI-driven tools to analyze application portfolios and prioritize modernization initiatives.
• Identify opportunities to integrate AI services into legacy and modern applications to improve functionality and user experience.

Engineering Leadership

• Manage and allocate engineering resources based on skills, capacity, and strategic priorities.
• Mentor engineers, conduct code reviews, and promote modern software development and integration best practices.
• Foster collaboration across frontend, backend, DevOps, and integration teams.

Delivery Management & Performance

• Track delivery metrics such as velocity, defect rates, deployment frequency, and cost optimization.
• Communicate progress, risks, technical debt reduction, and modernization ROI to stakeholders.
• Partner with product owners and business stakeholders to prioritize initiatives aligned with strategic objectives.

Quality, Governance & DevOps

• Ensure applications meet established standards for performance, security, accessibility, reliability, and scalability.
• Champion CI/CD, automated testing, observability, and DevOps best practices.
• Participate in architecture governance, change management, and application portfolio oversight.
• Implement AI-enabled monitoring and observability solutions for anomaly detection, performance optimization, and incident prediction.
• Support responsible AI practices related to governance, data privacy, security, and enterprise compliance.

Cross-Functional Collaboration & Financial Management

• Translate business requirements into scalable technical solutions and modernization roadmaps.
• Collaborate with internal teams, vendors, and technology partners supporting application development and transformation initiatives.
• Support budgeting, forecasting, cost-benefit analysis, and resource optimization.
• Define use cases and roadmaps for incorporating AI capabilities into enterprise applications.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field; master's degree preferred.
• 8+ years of software development experience, including 5+ years leading engineering teams and modernization initiatives.
• Experience delivering customer-facing applications and leading enterprise application transformation initiatives.
• Strong proficiency with modern technology stacks such as JavaScript/TypeScript, React, Node.js, Java, .NET, Python, or similar technologies.
• Experience with cloud platforms such as AWS or Azure.
• Experience with Docker, Kubernetes, microservices architectures, and legacy application modernization.
• Hands‑on experience with Agile and DevOps technologies such as Jira, GitHub Actions, Jenkins, Terraform, or comparable platforms.
• Experience with application portfolio management and rationalization.
• Demonstrated ability to mentor engineers and scale engineering capabilities.
• Experience integrating AI/ML capabilities or APIs, including generative AI, NLP, predictive analytics, or similar technologies.
• Familiarity with AI-assisted software development tools.
• Understanding of data pipelines and integration patterns supporting AI-enabled applications.

Preferred Qualifications

• PMP, AWS, TOGAF, or similar cloud, architecture, project management, or modernization certifications.
• Experience with AI/ML platforms and services such as Azure AI, AWS AI/ML services, or comparable technologies.
• Experience building or integrating conversational AI, recommendation systems, or intelligent automation solutions.

Key Competencies

• Strong leadership, team management, mentoring, and cross-functional collaboration skills.
• Strategic mindset with experience driving enterprise application modernization and rationalization at scale.
• Strong communication skills with the ability to work effectively with technical teams, business stakeholders, and executive leadership.
• Data-driven approach to using KPIs to improve delivery, quality, and application portfolio performance.
• Ability to operate effectively in fast-paced, transformation-focused environments.
• Ability to identify and implement AI solutions that improve application functionality, engineering efficiency, and business outcomes.
• Understanding of responsible AI principles, including governance, explainability, privacy, and data security.