Full Stack Developer - POS Platform (React/Node, PostgreSQL)

Machine Learning Technologies, LLC; Plano (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a software engineer to support and enhance a retail POS platform. You will develop front-end components with React.js and Node.js, and build RESTful APIs with PostgreSQL, focusing on data modeling and query optimization for performance.

You will troubleshoot production issues, contribute to unit tests, and support CI/CD deployments on AWS. Collaboration with the Product Owner and a strong Agile/Scrum mindset are essential for timely releases.

Qualifications

• Proficiency with React.js and Node.js.
• Experience with PostgreSQL data modeling and query optimization.
• Experience with CI/CD pipelines on AWS.

Responsibilities

• Support and enhance a retail POS platform with feature development and defect fixes.
• Develop and maintain front-end applications using React.js and Node.js.
• Build and enhance REST APIs and make database changes using PostgreSQL.
• Perform data modeling and query optimization to ensure database performance.
• Troubleshoot production issues, perform root-cause analysis, and implement fixes.
• Write and maintain unit tests and regression tests.
• Support CI/CD pipelines and releases on AWS.
• Use Git for version control and follow Agile/Scrum methodologies.
• Collaborate with the Product Owner on backlog prioritization and release planning.
• Provide production support and assist in onboarding and knowledge transfer.

Skills

React.js

Node.js

PostgreSQL

Tools

Git

AWS

REST APIs

Job description

Machine Learning Technologies, LLC is seeking a software engineer to support and enhance a retail POS platform. You will develop front-end components with React.js and Node.js, and build RESTful APIs with PostgreSQL, focusing on data modeling and query optimization for performance.

You will troubleshoot production issues, contribute to unit tests, and support CI/CD deployments on AWS. Collaboration with the Product Owner and a strong Agile/Scrum mindset are essential for timely releases.