Join our dynamic Retail Business Services team and play a key role in enhancing the shopping experience for millions of Amazon customers globally. You will tackle challenging, high-impact problems within catalog management, supply chain optimization, and retail operations. Leveraging your technical acumen, you'll construct scalable solutions that deliver tangible business outcomes.

This role offers a unique opportunity to contribute to critical retail functions, from ensuring catalog accuracy to optimizing operational efficiency. You will be at the forefront of innovation, applying technology to solve real-world business challenges and directly impact customer satisfaction.

Key responsibilities include evaluating emerging technologies and cloud infrastructure to boost operational capabilities and system performance. You will lead incident management, conduct root cause analysis, and develop automation solutions for improved stability and scalability. Collaborating with cross-functional teams is essential to identify opportunities for enhancing customer experience. Contribute to operational excellence by designing robust processes and systems to support large-scale retail operations.

Responsibilities also involve participating in on-call rotations, deep-diving into complex technical challenges, and engaging with retail operations and engineering teams to translate needs into technical solutions. Your efforts will directly influence product discovery and purchasing journeys for customers.

We seek candidates with a minimum of 4 years in software development or technical support, coupled with proven experience in troubleshooting and debugging technical systems. Proficiency in scripting with modern programming languages and experience in agile/scrum workflows are essential.

Preferred qualifications include familiarity with distributed and enterprise applications, UNIX/Linux operating systems, and operating highly available distributed systems. Experience with data extraction, ingestion, processing of large datasets, designing automated test suites, QA frameworks, and CI/CD integration is highly valued. A solid understanding of software quality methodologies, establishing quality metrics, and driving root-cause analysis for quality escapes is also beneficial. Knowledge of data infrastructures like relational DBMS, Elasticsearch, and Big Data technologies, along with AI/ML concepts for automation, is a strong plus.