Join our dynamic team as an Application Engineer, specializing in AWS Quick. This role is pivotal in designing, evaluating, and implementing scalable automation solutions across enterprise systems. You will be instrumental in ensuring processes are optimized for automation, driving efficiency and innovation.

We are committed to fostering a diverse and inclusive environment where all experiences are valued. If your career path is unique or you don't meet every preferred qualification, we still encourage you to apply. AWS is a leader in cloud computing, offering a robust platform trusted by businesses worldwide. Our culture promotes continuous learning, inclusivity through employee affinity groups, and opportunities for mentorship and career growth.

Key responsibilities include creating, reviewing, and validating Process Design Documents (PDDs) to guarantee their completeness and technical accuracy for automation.

You will assess process automation feasibility, pinpointing gaps, edge cases, exceptions, and system dependencies. Guiding teams in developing high-quality, automation-ready PDDs is also a core function.

Furthermore, you'll translate process requirements into technical workflows, build and deploy automations, and integrate APIs and external systems. Ensuring solutions are reliable, maintainable, and production-ready is paramount.

A strong foundation in automation development is essential, with hands-on experience in enterprise automation platforms like UiPath, Blue Prism, or Quick Automate. Proficiency in designing workflows, managing orchestration, handling exceptions, and deploying automations in production is required.

Expertise in Python is critical for developing custom scripts, integrating with REST APIs, processing data, and extending automation capabilities. Familiarity with Python libraries such as requests, httpx, pandas, and logging frameworks is necessary.

Additional requirements include experience with REST APIs, JSON, webhooks, Git for version control, Postman for API testing, and basic SQL for data validation and support. A Bachelor's degree or higher in a related field, coupled with at least 2 years of experience in building production software and front-end web development, is also expected.