Develop and maintain AWS-hosted back-end services using Python/Node.js and AWS services (Lambda, API Gateway, Step Functions, Amplify). Collaborate with cross-functional teams across the SDLC, integrate with databases (RDS, Oracle, PostgreSQL, DynamoDB), and ensure scalable, secure solutions.

Own and maintain end-to-end NetSuite integrations and related middleware (primarily Boomi/iPaaS). Develop NetSuite scripts and backend services/APIs, ensure data accuracy and observability, troubleshoot production issues, partner with Finance/Operations/Data, and provide technical leadership and documentation to scale integration reliability.

Design and optimize data lakes and ETL pipelines using AWS services. Collaborate with stakeholders to ensure high-quality datasets, compliance, and data governance.

Lead the design, architecture, and implementation of cloud-native applications on AWS, utilizing full-stack expertise in Angular and Python. Collaborate with stakeholders to create technical designs, develop scalable architectures, and ensure security and performance of applications.

As a Cloud Backend Engineer, you will work on AWS development tasks, collaborate with teams, and integrate solutions with existing systems, participating in the full software development lifecycle.

The Database Developer will work on AWS database development, collaborate with teams, and integrate solutions into existing systems.

Join a team to convert Pentaho ETL jobs to AWS Glue, collaborating on software development from planning to deployment.

The Full-Stack Developer will design and develop cloud-native applications using Angular and Python, implement APIs, collaborate on system architecture, and maintain code quality.

The Mid-level Full-Stack Developer will design and develop cloud-native applications using Angular and Python, collaborating with teams, and ensuring code quality.

Lead the design and development of cloud-native applications on AWS, mentor developers, ensure compliance with best practices, and manage cross-functional teams to deliver scalable solutions.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.