Associate Applied Engineer, Sales Engineering - Atlanta, GA

NCR Corporation•Atlanta, GA
•Onsite

About The Position

The Associate Applied Engineer, Sales Engineering supports the Sales Engineering team by building and maintaining customer-facing demonstrations on NCR Voyix Edge. The role develops containerized sample applications that run alongside POS, KDS, kiosk, and payment workloads, and creates lightweight Python tools to automate Sales Engineering tasks. Working with Sales Engineers, the position packages proof-of-concepts for customer requests and helps prepare for customer engagements by setting up demo environments, validating integrations, debugging failures, and capturing reusable patterns. The role also maintains a shared library of demo assets, scripts, and reference deployments for reuse across the Sales Engineering organization. It partners with Product and Platform Engineering to stay current on Edge, container orchestration, and integration patterns, and to relay customer-driven feedback. The Associate Applied Engineer helps the existing Sales Engineering team build familiarity with containers, Kubernetes, and cloud fundamentals through paired work and workflow documentation. The position is office-based in Atlanta, Georgia.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, IT, or a related field.
  • Up to 2 years of experience through full-time work, internships, academic projects, or personal projects.
  • Basic proficiency in Python and Linux environments.
  • Familiarity with Docker and foundational Kubernetes concepts.
  • Understanding of cloud platforms and modern application deployment practices.
  • Strong problem-solving skills and willingness to learn new technologies.
  • Ability to work effectively with technical teams and customer-facing stakeholders.

Responsibilities

  • Build and maintain customer-facing demos on NCR Voyix Edge, including containerized sample applications that run alongside POS, KDS, kiosk, and payment workloads.
  • Develop lightweight Python utilities and scripts to automate Sales Engineering tasks such as lab provisioning, data seeding, environment resets, and demo orchestration.
  • Package proof-of-concepts in response to customer requests, working with Sales Engineers to scope and deliver them during sales cycles.
  • Support customer engagements through technical preparation, including standing up demo environments, validating integrations, debugging demo failures, and capturing reusable patterns.
  • Maintain a shared library of demo assets, scripts, and reference deployments for use across the Sales Engineering organization.
  • Partner with Product and Platform Engineering to stay current on Edge, container orchestration, and integration patterns, and share customer-driven feedback.
  • Help upskill the Sales Engineering team on container, Kubernetes, and cloud fundamentals by pairing on builds and documenting common workflows.
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