System Development Engineer, Search Support

As a member of the team, you will independently provide support for search-related issues, deliver high-quality work, leverage our customers' voice to understand their pain-points, and help drive fixes. You will learn about how Amazon search results are generated and rendered. This role requires strong problem solving skills to identify and develop automated solutions to key issues.
Key job responsibilities
• Design and develop new tools to solve emerging problems.
• Maintain and improve existing self-service issue resolution tooling.
• Continuously identify the areas for improvement of self-service by evaluating ticket metrics and logs.
• Collaborate with Technical Program Managers and development team members to troubleshoot complex features.
• Coordinate root cause analysis and defect resolution with the team and key stakeholders.
• Identify search service changes and make independent decisions based on the available information.
• Follow standard operational procedures (SOPs) to resolve emergent issues and escalate to internal search teams. Ensure all issues are properly documented and closed.
• Create knowledge-based articles and SOPs to provide related training to various team members.
- Knowledge of and proficiency in the use of Python scripting language
- 2+ years of contributing to automation for new and current system experience
- Experience with automating and simplifying team development, test, and operations processes
- Knowledge of best practices for software deployment
- Bachelor's degree or above in computer science, engineering, mathematics or equivalent, or experience in defining and creating benchmarks for assessing GenAI model performance
- Experience ability to understand and devise new models that work
- Experience with Linux/Unix operating systems
- Experience working within software development or Internet-related industries
- Experience as a technical specialist in customer-facing roles
- Experience developing, deploying and managing AI products at scale
- Experience working with Angular.
- Knowledge of search algorithms and technologies.
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