Lead Software Engineer - Full Stack Java

As a Lead Full Stack Engineer, you will design and build highly scalable web applications and backend services that power our EPI-INTL and Editorial Suite products. You will lead the architecture for modern Angular front-end experiences, robust Java-based APIs, and cloud-native microservices that fuel AI, GenAI, and advanced analytics workflows.

If you''re passionate about building enterprise-scale platforms, modern UI frameworks, microservices, and AI-ready applicationsthis role is for you.

About You experience, education, skills, and accomplishments:

• Bachelor''s degree in computer science, Engineering, or related field.
• 5+ years of Java full-stack engineering experience delivering production applications.
• Strong expertise in Angular (architecture, state management, performance optimization).
• Solid hands-on experience building Java-based APIs (Spring Boot preferred).
• Deep understanding of building scalable, cloud-native web applications on AWS.
• Exposure to AI/GenAI workflows and data engineering concepts (LLMs, vector search, embeddings, pipelines).
• Strong fundamentals in software design patterns, clean architecture, microservices, CI/CD, and DevOps.

It would be great if you also had . . .

• RAG pipelines, LangChain, Bedrock, OpenAI APIs

What will you be doing in this role?

• Lead Angular application development with best practices around architecture, code quality, and performance.
• Design and implement Java microservices and REST APIs powering AI and analytics workflows.
• Build cloud-native application components using modern AWS services.
• Partner with AI/ML engineers to integrate GenAI capabilities into the platform.
• Build interfaces, APIs, and workflows for LLM features such as summarization, insights extraction, and intelligent search.
• Evaluate new AI technologies and recommend integration strategies.
• Drive end-to-end architecture decisions across frontend, backend, and cloud components.
• Mentor developers, conduct design/code reviews, and enforce engineering excellence.
• Ensure reliability, performance, and scalability of the entire application stack.
• Work closely with Product, UX, Data Science, and Engineering leadership.
• Translate business requirements into technical designs and user-focused solutions.
• Deliver features in an Agile environment with strong emphasis on quality and velocity.