Description

You will design, develop, and maintain AI/ML driven applications within AWS cloud environments, owning the full software development life cycle.

This role is on-site.

Responsibilities

• Design, develop, and test code to meet user story acceptance criteria while managing database solutions.
• Build deployment scripts, manage production code, and create operational dashboards for system monitoring.
• Conduct end-to-end testing, integration, and code reviews to ensure compliance with engineering standards.
• Estimate story sizes, mentor junior developers, and improve sprint processes.
• Collaborate with designers and analysts to provide engineering, security, and operations sustainment services.

Required Skills

• 5+ years of IT experience focusing on AI/ML development projects using DevSecOps and AWS.
• 3+ years of experience deploying production enterprise applications in AWS that utilize AI/ML.
• 3+ years of software engineering experience in front-end, back-end, and data services.
• Proficiency in Java, Spring Boot, JSON, and JavaScript.
• Experience with JS frameworks such as Angular and React.
• Experience with big data technologies including Apache Hadoop, Sqoop, Hive, Spark, Tomcat, and Ignite.
• Knowledge of CI/CD pipelines using tools like Jenkins, Snap, or Concourse.
• Experience with microservices and containerization using JHipster.
• Hands-on experience with Git/GitHub and Agile delivery practices.

Preferred Skills

• Experience with large scale, high-performance enterprise big data application deployment on complex heterogeneous AWS environments.

Key Skills

Education

Any Graduate