Sr. Full Stack Software Engineer

Job Title: Sr. Full Stack Software Engineer

Work Location: Reston, VA & Plano, TX (Day one Onsite)

Duration: Long term

Must-Have Skills:

• Amazon CloudFront
• Angular
• AWS Fargate
• Java
• GitHub Copilot
• XML
• Java, AWS,
• Python,
• AI/GenAI

Description:

• We are seeking a highly skilled Senior Full Stack Engineer with deep expertise in modern web development, cloud-native architecture, and applied AI/GenAI technologies.
• This role requires a hands-on engineer who can design, build, and scale end-to-end solutions while leveraging AI to enhance productivity, code quality, and innovation.

Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications using Java (Spring Boot), Python, and Angular.
• Architect and deploy cloud-native solutions on AWS (e.g., Lambda, ECS/EKS, S3, API Gateway, DynamoDB, RDS).
• Integrate and apply AI/GenAI capabilities (e.g., GitHub Copilot, ChatGPT, LLM-based tools) into the software development lifecycle
• Leverage Large Language Models (LLMs) and agentic workflows to accelerate development, automate tasks, and improve system capabilities
• Use AI tools to generate code, create unit and automation tests, and enhance code quality through AI-assisted reviews
• Collaborate in AI-assisted and human peer review processes to ensure high standards of code quality and maintainability
• Translate business requirements into technical solutions with a strong understanding of both business and technology domains
• Mentor and guide junior developers while contributing as an independent, hands-on engineer.

Required Qualifications:

• 7+ years of experience in full-stack software engineering.
• Strong proficiency in Java, Python, and Angular.
• Hands-on experience building and scaling applications on AWS.
• Practical experience using AI/GenAI tools (e.g., GitHub Copilot, ChatGPT) in day-to-day development.
• Solid understanding and experience working with LLMs and agent-based architectures.
• Experience with AI-driven code generation, automated testing, and code review processes.
• Strong problem-solving skills with the ability to work independently and lead initiatives.
• Proven ability to mentor junior engineers and contribute to a collaborative team environment.
• Preferred Qualifications:
• Experience designing AI-powered applications or integrating LLM APIs.
• Familiarity with CI/CD pipelines, DevOps practices, and test automation frameworks.
• Knowledge of microservices architecture and distributed systems.