Application Engineer , Retail Business Services
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Engineering · DevOps
In short
Application Engineer on the Retail Business Services team, responsible for solving complex, high-impact problems in catalog management, supply chain optimization, and retail operations using technical expertise. The role involves evaluating emerging technologies, leading incident management, developing automation solutions, and collaborating with cross-functional teams to enhance customer experience and operational excellence.
Responsibilities
- Evaluate emerging technologies and cloud infrastructure solutions to enhance operational capabilities and system performance.
- Lead incident management activities, including on-call responsibilities, and conduct thorough root cause analysis.
- Develop and implement automation solutions that improve stability, reliability, and scalability across systems.
- Collaborate with peers across teams to identify opportunities for solving problems that enhance customer experience.
- Contribute to operational excellence initiatives by designing robust processes and systems that support retail operations at scale.
Requirements
- 4+ years of software development or 4+ years of technical support experience.
- Experience troubleshooting and debugging technical systems.
- Experience scripting in modern programming languages.
- Experience in agile/scrum or related collaborative workflow.
Desired Qualifications
- Knowledge of distributed applications/enterprise applications.
- Knowledge of UNIX/Linux operating system.
- Experience operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets.
- Experience designing, developing, and maintaining automated test suites and QA frameworks (unit, integration, regression, and end-to-end).
- Experience with test automation tools/frameworks and CI/CD integration for continuous quality validation.
- Familiarity with software quality methodologies—test strategy, test case design, coverage analysis, performance/load testing, and defect lifecycle management.
- Experience establishing and monitoring quality metrics (test coverage, defect density, escape rate) and driving root-cause analysis of quality escapes.
- Experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda.
- Knowledge of artificial intelligence and machine learning concepts, including their application to automation and operational problem-solving.
Benefits
- Healthy work-life balance.
- Support for professional growth and continuous learning.
- Mentorship, code reviews, and technical conversations with senior engineers.
- Inclusive culture that empowers Amazonians.
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