Description

You will design, develop, and maintain secure Java-based applications while driving technical decisions and engineering best practices across the team. This role requires deep expertise in the Software Development Life Cycle (SDLC), cloud-native deployment, and the responsible integration of AI-assisted coding tools to improve delivery speed and code quality.

This role is on-site.

Responsibilities

• Develop, review, and debug high-quality production code using advanced Java programming.
• Drive product design, application functionality, and engineering process improvements.
• Establish validation standards for AI-assisted outputs, ensuring correctness, performance, and security.
• Design, deploy, and manage containerized applications using Kubernetes.
• Coach engineers on safe, compliant adoption of AI-assisted engineering practices within delivery workflows.

Required Skills

• 5+ years of applied software engineering experience with a Bachelor's degree.
• Advanced proficiency in Java programming and application development.
• Hands-on experience with CI/CD, automation, and continuous delivery methods.
• Deep understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Experience designing and managing containerized applications using Kubernetes.
• Proficiency in AI-assisted software development tools for coding, review, and test acceleration.
• Strong understanding of responsible AI use, including data sensitivity and secure handling.

Preferred Skills

• Experience with Co-Pilot skills and familiarity with Spring Boot.
• AWS Solution Architect certification.

Key Skills

Education

Bachelor's degree