Java Forward AI Developer

Delan Associates, Inc•Alpharetta, GA

7d•Onsite

About The Position

We are seeking a Java Forward AI Developer located in Alpharetta, GA. This is an onsite position, and we are only considering local candidates to Alpharetta, GA. The role requires strong hands-on experience in Java/J2EE/Spring Boot, a solid understanding of SRE principles, and extensive experience with Google Cloud Platform (GCP). You will be involved in cloud-native application development, working with distributed systems, REST APIs, microservices, and event-driven architectures. Experience with Docker, Kubernetes/GKE, CI/CD tools, and automated deployment pipelines is essential. The position also demands strong troubleshooting and production support skills, familiarity with monitoring and observability tools, and a good understanding of Linux/Unix environments. Proficiency in Git and modern software development practices, along with strong communication and customer-facing skills, are also required.

Requirements

5+ years of software development experience.
Strong hands-on experience with Java / J2EE / Spring Boot.
Strong understanding of SRE principles and practices.
Hands-on experience with Google Cloud Platform (GCP).
Experience with cloud-native application development and distributed systems.
Strong knowledge of REST APIs, microservices, and event-driven architectures.
Experience with Docker and Kubernetes/GKE.
Experience with CI/CD tools and automated deployment pipelines.
Strong troubleshooting and production support experience.
Experience with monitoring and observability tools.
Strong understanding of Linux/Unix environments.
Experience with Git and modern software development practices.
Strong communication and customer-facing skills.

Responsibilities

Develop and maintain Java/J2EE/Spring Boot applications.
Apply SRE principles and practices to ensure system reliability and performance.
Develop and deploy cloud-native applications on Google Cloud Platform (GCP).
Design and implement microservices and event-driven architectures.
Utilize Docker and Kubernetes/GKE for containerization and orchestration.
Implement and manage CI/CD tools and automated deployment pipelines.
Provide troubleshooting and production support for AI systems.
Implement and utilize monitoring and observability tools.
Work within Linux/Unix environments.
Collaborate with team members using Git and modern software development practices.
Communicate effectively with customers and stakeholders.