Description

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

Responsibilities

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

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.
• Experience with big data technologies including Apache Hadoop, Sqoop, Hive, Spark, Tomcat, and Ignite.
• Proficiency in Java, Spring Boot, JSON, and JavaScript.
• Experience with JS frameworks such as Angular and React.
• 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.
• Experience with test automation using Cucumber and Selenium within TDD/BDD frameworks.
• Familiarity with Kotlin, Scala, Cassandra, Kubernetes, gRPC, Lambda, TypeScript, or Prometheus.

Preferred Skills

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

Key Skills

Education

Any Graduate