Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, mid-level fullstack Java role, metro location, and broad AWS/Java requirements elevate competition.
Core Java, cloud, and microservices skills are widely transferable across industries, so low domain bias.
Explicit 3+ years, Java17+, AWS EKS/ECS, Terraform, and microservices create strict mandatory filters.
Design, develop, and maintain secure, scalable, and reliable full-stack Java applications within an agile team.
Leverage AI-assisted software development tools to improve code quality, delivery speed, and automation within the Software Development Life Cycle.
Produce architecture and design artifacts and analyze large data sets to continuously improve software applications and system stability.
3+ years of applied software engineering experience with formal training or certification.
At least 2 years hands-on experience with Java 17+ in an enterprise environment.
Experience with Agile SDLC delivery and cloud-native AWS microservices development using AWS EKS/ECS, Terraform, and an RDBMS (preferably Oracle or PostgreSQL).
Hands-on experience using enterprise-authorized AI-assisted development tools and understanding of responsible AI use in engineering workflows.
Experienced with full-stack Java enterprise application development and cloud-native microservices architecture in production environments.
Proficient at integrating AI-assisted coding tools into development workflows with ability to evaluate and validate AI outputs critically.
Skilled in delivering complex software projects through Agile methodologies with focus on operational stability, security, and continuous improvement.