Software Technical Lead

ImagineX LLC; Northern (KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

ImagineX LLC is a US-based tech company delivering AI-assisted teams to build and secure enterprise software solutions. The Technical Lead will guide engineering across full-stack Java apps, champion AI-driven innovation, and serve as the technical authority for the team.

The role focuses on designing scalable, secure systems, mentoring engineers, and aligning architecture with client goals. Based in the US and open to US citizens and permanent residents only, visa sponsorship is not available.

Qualifications

• 10+ years of professional software engineering experience with full-stack Java.
• Expertise in Java, Spring Boot, microservices, and distributed systems.
• Experience with React, Angular, or Vue.
• Cloud platforms and containerization (AWS/Azure/GCP, Docker, Kubernetes).
• Proven leadership of engineering teams and client engagement.

Responsibilities

• Lead the design and architecture of full-stack Java apps.
• Drive AI and ML integration into enterprise systems.
• Provide hands-on development while guiding best practices.
• Mentor engineers across multiple levels.
• Collaborate with product, data, and AI teams to deliver end-to-end solutions.

Skills

Java

Spring Boot

Microservices

Distributed systems

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

ImagineX is a tech company that deploys AI‑assisted teams to build and secure mission‑critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world‑class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.

As a Technical Lead specializing in Java full‑stack development, you will guide engineering teams in designing, building, and delivering complex enterprise systems—while championing the use of AI to accelerate development and enhance product capabilities. You’ll serve as the technical authority for your team, shaping architecture, mentoring engineers, and ensuring that solutions are scalable, secure, and aligned with client goals. This role is ideal for a seasoned engineer who thrives at the intersection of hands‑on development, technical leadership, and AI‑driven innovation.

This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship.

Responsibilities

• Lead the technical design and architecture of full‑stack Java applications using Spring Boot and modern front‑end frameworks
• Drive the integration of AI/ML capabilities into enterprise systems, including LLM‑powered features, intelligent automation, and AI‑assisted workflows
• Provide hands‑on development while guiding the team in best practices, code quality, and modern engineering standards
• Mentor and coach engineers across multiple levels, fostering growth and technical excellence
• Collaborate closely with product, data, and AI teams to define technical strategy and deliver end‑to‑end solutions
• Oversee system performance, scalability, observability, and security across the stack
• Champion the use of AI‑assisted engineering tools to improve velocity, reliability, and developer experience
• Facilitate technical discussions with clients, translating complex concepts into clear recommendations
• Contribute to CI/CD pipelines, cloud architecture, and DevOps practices to ensure smooth, reliable deployments

Qualifications

• 10+ years of professional software engineering experience, including significant full‑stack Java development
• Deep expertise in Java, Spring Boot, microservices, and distributed system design
• Strong experience with modern front‑end frameworks such as React, Angular, or Vue
• Proven experience integrating AI/ML services or building AI‑enhanced product features
• Strong understanding of cloud platforms (AWS, Azure, or GCP), containerization, and orchestration (Docker, Kubernetes)
• Demonstrated ability to lead engineering teams, mentor developers, and drive technical decision‑making
• Experience with observability, performance tuning, and secure architecture patterns
• Excellent communication skills and the ability to engage directly with clients and stakeholders
• A mindset focused on innovation, continuous improvement, and leveraging AI to elevate engineering outcomes