Lead Engineer

Medina Talent Group • Irvine, CA

8d

About The Position

The Lead Engineer for Enterprise Applications is responsible for driving the design, development, modernization, and lifecycle management of enterprise application portfolios. This role leads end-to-end delivery—from requirements through production—while optimizing applications for scalability, cost-efficiency, and business agility. The position plays a critical role in advancing digital transformation through application rationalization, cloud adoption, and modern engineering practices.

Requirements

• Bachelor’s degree in computer science, Software Engineering, or related field (Master’s preferred).
• 8+ years of software development experience, including 5+ years leading engineering teams and modernization initiatives.
• Proven experience delivering customer-facing applications and leading enterprise application transformations.
• Strong proficiency in modern development stacks (JavaScript/TypeScript, React, Node.js, Java/.NET, Python, or similar).
• Experience with cloud platforms (AWS/Azure), containerization (Docker/Kubernetes), microservices architectures, and legacy modernization.
• Hands-on experience with Agile and DevOps tools (JIRA, GitHub Actions, Jenkins, Terraform) and application portfolio management practices.
• Demonstrated success in mentoring engineers and scaling engineering capabilities.
• Experience integrating AI/ML capabilities or APIs (e.g., NLP, predictive analytics, generative AI services) into enterprise applications.
• Familiarity with AI-assisted development tools and modern engineering productivity platforms.
• Understanding data pipelines and integration patterns supporting AI-driven applications.
• Strong leadership in team management, mentoring, and cross-functional collaboration.
• Strategic mindset with experience driving application rationalization and modernization at scale.
• Ability to communicate effectively with technical teams, business stakeholders, and executive leadership.
• Data-driven decision-making using KPIs to guide delivery, quality, and portfolio optimization.
• Ability to operate effectively in fast-paced, transformation-driven environments.
• Ability to identify and apply AI solutions to improve application functionality, engineering efficiency, and business outcomes.
• Understanding of responsible AI principles, including governance, explainability, and data security.

Nice To Haves

• PMP, AWS Certified Developer, TOGAF, or similar certifications in cloud, architecture, or modernization.
• Experience with AI/ML platforms or frameworks (e.g., Azure AI, AWS AI/ML services, or similar).
• Exposure to building or integrating conversational AI, recommendation systems, or intelligent automation solutions.

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 (e.g., React, Node.js, .NET, Java, Python).
• Drive Agile execution includes sprint planning, backlog refinement, and release management.
• Incorporate AI-assisted development tools (e.g., code generation, testing automation, documentation) to improve engineering productivity and quality.
• Evaluate and integrate AI/ML capabilities into applications where appropriate (e.g., intelligent workflows, predictive insights, conversational interfaces).
• Assess application portfolios to identify redundancy, technical debt, and opportunities for consolidation or modernization.
• Develop and execute rationalization strategies, including application retirement, consolidation, and migration to cloud or SaaS platforms.
• Lead modernization initiatives such as microservices adoption, API enablement, containerization, and legacy system transformation.
• Leverage AI-driven analysis tools to assess application portfolios, identify redundancy, and prioritize modernization opportunities.
• Identify opportunities to embed AI services into legacy and modernized applications to enhance functionality and user experience.
• Manage and allocate engineering resources based on skills, capacity, and strategic priorities.
• Mentor engineers, conduct code reviews, and promote best practices in modern development and integration patterns.
• Foster a collaborative, high-performing engineering culture across frontend, backend, DevOps, and integration teams.
• Track and report on delivery metrics including velocity, defect rates, deployment frequency, and cost optimization.
• Provide regular updates to stakeholders on progress, risks, technical debt reduction, and modernization ROI.
• Partner with product owners and business stakeholders to prioritize initiatives aligned with strategic objectives.
• Ensure applications meet standards for performance, security, accessibility, and reliability.
• Champion CI/CD, automated testing, observability, and DevOps best practices.
• Participate in architecture governance, change management, and portfolio oversight processes.
• Implement AI-enabled monitoring and observability solutions for anomaly detection, performance optimization, and incident prediction.
• Ensure responsible AI practices, including model governance, data privacy, and compliance with enterprise standards.
• Translate business requirements into scalable technical solutions and modernization roadmaps.
• Collaborate with vendors and partners supporting application development and transformation initiatives.
• Manage budgets through forecasting, cost-benefit analysis, and resource optimization.
• Help define use cases and roadmaps for integrating AI capabilities into business applications.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior