What are the responsibilities and job description for the Java Backend Developer position at Ziddos?
Role: Senior Java Developer with AI/ML
Locals who can go for an in-person interview
Seattle, WA (3 days a week hybrid)
Locals who can go for an in-person interview
Seattle, WA (3 days a week hybrid)
Interview slots available
12 years of professional software engineering experience with Java, Spring, and web services
2 years of hands-on experience with AI/ML implementation and deployment
Experience working with containers, microservices, and cloud environments supporting CI/CD pipelines
Knowledge of databases such as MongoDB or PostgreSQL
As a Senior Java Developer - AI, you will be part of the IT Transformation and Modernization Department, supporting cross-functional teams
Lead the development and deployment of large-scale software solutions supporting high-volume transactions
Collaborate with cross-functional teams to modernize legacy systems to distributed platforms
Implement AI/ML solutions, including Large Language Models, into existing workflows and systems
Support cloud deployment strategies using platforms such as AWS, Google Cloud Platform, or PCF, ensuring high availability and scalability
Drive continuous improvement through automation, scripting, and innovative problem-solving approaches
12 years of professional software engineering experience with Java, Spring, and web services
2 years of hands-on experience with AI/ML implementation and deployment
Experience working with containers, microservices, and cloud environments supporting CI/CD pipelines
Knowledge of databases such as MongoDB or PostgreSQL
As a Senior Java Developer - AI, you will be part of the IT Transformation and Modernization Department, supporting cross-functional teams
Lead the development and deployment of large-scale software solutions supporting high-volume transactions
Collaborate with cross-functional teams to modernize legacy systems to distributed platforms
Implement AI/ML solutions, including Large Language Models, into existing workflows and systems
Support cloud deployment strategies using platforms such as AWS, Google Cloud Platform, or PCF, ensuring high availability and scalability
Drive continuous improvement through automation, scripting, and innovative problem-solving approaches
Salary : $110,000 - $115,000