Lead Software Engineer

Job Description

Lead Software Engineer – GenAI & Microservices

Location

Irving, Texas

Required Experience

16+ years

Primary Skills

Java 17, Spring Boot Microservices, Generative AI, Agentic AI, RAG

Job Summary

seeking an experienced Lead Software Engineer with deep expertise in Java-based microservices, enterprise software engineering, and Generative AI technologies. The ideal candidate will lead the design, development, and implementation of GenAI-powered engineering solutions while integrating AI-assisted development tools into enterprise software development lifecycle (SDLC) and CI/CD workflows.

This role requires a strong technical leader with hands-on expertise in Java 17, Spring Boot, full-stack development, distributed systems, cloud platforms, and emerging AI architectures. The candidate will collaborate with business and technology stakeholders to accelerate developer productivity, improve engineering practices, and drive enterprise adoption of Generative AI solutions.

Key Responsibilities

• Design, develop, test, and deploy GenAI-powered enterprise solutions.
• Build, enhance, and maintain scalable Java 17 and Spring Boot microservices.
• Develop full-stack applications using Java, React or Angular, TypeScript, and Python.
• Design distributed systems, REST APIs, event-driven architectures, and scalable integration solutions.
• Integrate AI-assisted development tools such as Devin, Claude by Anthropic, Cursor, or similar platforms into engineering workflows.
• Apply prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based or multi-agent architectures to enterprise use cases.
• Implement and integrate Model Context Protocol (MCP) and autonomous AI workflows where appropriate.
• Incorporate AI capabilities into enterprise SDLC processes, CI/CD pipelines, and developer productivity initiatives.
• Deploy and support applications across cloud and container platforms, including OpenShift Container Platform (OCP), Google Cloud Platform (GCP), or equivalent environments.
• Establish engineering standards, best practices, reusable patterns, and guidelines for responsible and effective GenAI adoption.
• Lead technical discussions, architecture reviews, troubleshooting, performance tuning, and production issue resolution.
• Collaborate with business stakeholders, architects, developers, and cross-functional teams to translate requirements into scalable technical solutions.
• Mentor engineering teams and support onboarding, knowledge sharing, and adoption of AI-powered development practices.

Required Qualifications

• 16+ years of software engineering experience, with strong technical leadership capabilities.
• Extensive hands-on experience with Java 17 and Spring Boot microservices.
• Full-stack development experience with Java, React and/or Angular, TypeScript, and Python.
• Strong understanding of distributed systems, API design, event-driven architecture, and CI/CD pipelines.
• Experience with cloud or container platforms such as OCP, GCP, OpenShift, or similar technologies.
• Hands-on experience with AI-assisted software development tools such as Devin, Claude, Cursor, or equivalent platforms.
• Knowledge of prompt engineering, RAG, agent-based systems, and multi-agent architectures.
• Understanding of MCP (Model Context Protocol), autonomous AI workflows, and AI orchestration.
• Experience integrating AI capabilities into enterprise engineering workflows.
• Strong problem-solving, communication, system design, and technical leadership skills.

Preferred Qualifications

• Experience implementing enterprise-grade GenAI solutions and AI-powered developer productivity tools.
• Knowledge of secure, scalable, and maintainable AI application architectures.
• Experience with automated testing, DevOps practices, CI/CD automation, and production monitoring.
• Ability to evaluate emerging AI tools and translate them into practical engineering solutions.