Job Responsibilities:

• Partner with Data Scientists and Data Engineers to operationalize machine learning and optimization models that deliver new insights to the business
• Build data APIs and data delivery services that support critical operational and analytical applications for internal business operations, customers, and partners
• Take responsibility for ensuring that model code, data pipelines, API’s, and user interfaces are developed and deployed successfully into production
• Troubleshooting issues that arise and supporting production applications
• Continuously integrate code into on premise and AWS cloud environments
• Transform data science protypes into “production-ready” software products
• Ensure a good data flow between database and backend systems
• Optimize solutions for performance and scalability
• Ensure that the methodology, standards, and procedures are implemented
• Ensure that solutions meet the customers' business goals and that customer satisfaction with the project and conclusion is high.

Required Skills & Experience:

• 5-7 years of experience hands-on experience designing, developing, integrating, and running business, big data and/or data science applications
• 1-2+ years of hands-on experience working with AWS as a developer
• Experience developing Angular applications
• Experience developing with Java, SQL and building REST APIs
• Experience working with AWS services with an emphasis on managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API gateway
• Experience developing infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, Cloud Formation)
• Experience with automating application deployment, continuous delivery, and continuous integration (Git, GitLab, Jenkins)
• Experience using Agile/Scrum methodologies
• Experience with backlog management tools (e.g., VersionOne, JIRA).
• Strong problem-solving skills and capability to understand and set direction for complex technology integration