Ai engineer

EPAM develops enterprise software products, open source solutions, and accelerators.

• Lead the design and delivery of production‑grade Java services using Spring Boot and AWS Fargate;
• Serve as the technical authority for Angular frontend development, including component architecture, RxJS, and routing strategies;
• Architect and oversee AWS CDK stacks for Fargate tasks, ALB routing, Lambda functions, and Cloud Front distributions;
• Provide strategic guidance on serverless workflows, including Lambda and Lambda@Edge logic for authentication, CDN functionality, and other edge use cases;
• Oversee Git Lab CI/CD pipelines, automate workflows, review merge requests, and ensure deployment best practices;
• Use AI tools such as Claude Code to streamline specification, implementation, and iteration processes;
• Ensure the development and maintenance of AI context packs aligned with evolving codebases and domain‑specific knowledge;
• Lead sprint planning, reviews, and team discussions to align with project goals and delivery timelines;
• Mentor developers on technical implementation, AI tool adoption, and full‑stack development best practices;
• Advocate for quality assurance through code reviews, testing practices, and adherence to architectural standards.

• 5+ Years of full‑stack engineering experience focused on backend Java services and cloud‑native architecture;
• At least 1 year of relevant leadership experience;
• Senior‑level production expertise in Java and Spring Boot, including scalable containerized services in AWS;
• Proficiency in Angular, RxJS, routing mechanisms, and SPA deployments via S3 and Cloud Front;
• Advanced knowledge of AWS, including Fargate, Lambda, API Gateway, and AWS CDK;
• Experience managing and improving Git Lab CI/CD pipelines and automating deployments across environments;
• Experience writing and deploying serverless solutions with Lambda and Lambda@Edge;
• Flexibility to use IntelliJ IDEA for Java and VS Code for Angular and AWS infrastructure development;
• Ability to mentor and guide development teams in using AI tools such as Claude Code;
• English language proficiency at Upper-Intermediate level (B2) or higher;
• Nice to have:
  Domain‑specific context management for AI‐assisted workflows, past production‑ready software delivery using Claude Code or similar AI tools, familiarity with Kiro, user experience workflow design for web applications, embedded engineering best practices.

Remote work in Armenia.