Lead AI Engineer - Java with Claude Code

EPAM Systems Inc

  • Georgia, GA
  • 30+ days ago

    Highlights

    This is a hands-on leadership role that requires deep technical expertise, a drive for innovation, and the ability to leverage AI tools like Claude Code to enhance engineering workflows. Provide strategic guidance on serverless workflows, including authoring Lambda functions and Lambda@Edge logic for authentication, CDN-layer functionality, and other edge use cases.

    Numbers & Facts

    LocationGeorgia, GA

    Description

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    Lead AI Engineer - Java with Claude Code

    Remote in Georgia

    Java& 3 others

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    We are looking for a talented Lead AI Engineer to guide and collaborate with development teams in creating high-quality, AI-assisted software solutions. You will lead the delivery of production-grade Java services, architect robust frontend components in Angular, and manage scalable cloud infrastructure on AWS. This is a hands-on leadership role that requires deep technical expertise, a drive for innovation, and the ability to leverage AI tools like Claude Code to enhance engineering workflows.

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    Responsibilities

    • Lead the design and delivery of production-grade Java services using frameworks like Spring Boot and containerization platforms such as AWS Fargate

    • Serve as the technical authority for frontend development using Angular, focusing on efficient component architecture, RxJS, and routing strategies

    • Architect and oversee the implementation of AWS CDK stacks, including infrastructure for Fargate tasks, ALB routing, Lambda functions, and CloudFront distributions

    • Provide strategic guidance on serverless workflows, including authoring Lambda functions and Lambda@Edge logic for authentication, CDN-layer functionality, and other edge use cases

    • Oversee CI/CD pipelines in GitLab, including automating workflows, reviewing merge requests, and ensuring best practices in deployment processes

    • Utilize AI tools like Claude Code to streamline specification, implementation, and iteration processes, integrating AI into daily development workflows

    • Ensure the development and maintenance of AI context packs to keep aligned with evolving codebases and domain-specific knowledge

    • Lead sprint planning, reviews, and team discussions to ensure alignment with project goals and delivery timelines

    • Mentor developers on technical implementation, AI tool adoption, and best practices for full-stack development

    • Advocate for quality assurance through rigorous code reviews, testing practices, and adherence to architectural standards

    Requirements

    • 5+ years of full-stack engineering experience with a strong focus on backend Java services and cloud-native architecture

    • At least 1 year of relevant leadership experience

    • Expertise in Java with senior-level production experience in Spring Boot, including deploying scalable containerized services in cloud environments like AWS

    • Proficiency in Angular development, including RxJS, routing mechanisms, and SPA deployments via S3 and CloudFront

    • Advanced knowledge of AWS services, including Fargate, Lambda, API Gateway, and infrastructure as code using AWS CDK

    • Familiarity with managing and improving CI/CD pipelines in GitLab, with experience automating workflows and promoting deployments across environments

    • Background in writing and deploying serverless solutions using Lambda and Lambda@Edge for edge logic and CDN functionality

    • Flexibility to use IntelliJ IDEA for Java and VS Code for Angular and AWS infrastructure development

    • Proven ability to mentor and guide development teams to leverage AI tools like Claude Code effectively for collaborative software delivery

    • English language proficiency at an Upper-Intermediate level (B2) or higher

    Nice to have

    • Understanding of domain-specific context management for optimizing AI-assisted workflows

    • Showcase of past work using AI tools like Claude Code or similar for production-ready software delivery

    • Familiarity with alternative AI tools like Kiro for development support

    • Background in designing user experience workflows for web-based applications

    • Knowledge of best practices for embedded engineering within collaborative team environments

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