System Development Engineer I, Support Products & Services

Are you interested in building high-performance, globally scalable automation solutions — including AI-driven agentic workflows — that support Amazon Ads' current and future growth? Are you seeking an environment where you can drive innovation by leveraging the scalability and breadth of Amazon's AWS cloud services and cutting-edge generative AI capabilities? Do you have a passion for eliminating manual toil, enabling intelligent decision-making, and ensuring a seamless internal customer experience? This is the job for you.

Key job responsibilities
Interact with business customers and Ads operations teams to understand, document, and prioritize their business processes and automation requirements.
Perform gap analysis to determine the optimal automation approach — rule-based RPA, scripted automation, API integration, agentic AI, or a hybrid — for each use case.
Design, code, test, and deploy automation solutions (including AI agent workflows) following Amazon's engineering and responsible AI standards.
Build and maintain agent orchestration layers that manage agent planning, tool selection, memory/context management, and human-in-the-loop escalation.
Work with business customers, developers, applied scientists, and partner teams to troubleshoot, document, and resolve system issues.
Define and track key metrics (hours saved, error rates, SLA adherence, agent accuracy, human escalation rates) to measure automation impact and continuously improve.
Participate in on-call rotations to support production automation and agent workflows as needed.

Basic Qualifications

- Experience in automating, deploying, and supporting infrastructure
- 5+ years of contributing to automation for new and current system experience
- Experience with automating and simplifying team development, test, and operations processes
- Experience programming or scripting language like Python, Java, C or C++
- Experience with iterative, agile development methodologies (including scrum)
- Bachelor's degree or above in computer science, computer engineering, or related field
- Knowledge of distributed, multi-tiered systems, algorithms, and relational databases
- Knowledge of and proficiency in the use of Python scripting language

Preferred Qualifications

- Experience with CI/CD pipelines build processes

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