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Remote role, generalist automation title, and broad required skillset increase applicant competition.
Skills in Python, APIs, cloud, and integrations are highly transferable across industries.
Explicit 2–4 years plus mandatory Python, APIs, cloud, and integration skills create strict technical filters.
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Design, develop, and deploy scalable automation solutions to eliminate repetitive manual tasks across engineering and business operations.
Build and maintain integrations and workflows using APIs, cloud services, Microsoft 365, and modern automation frameworks.
Collaborate with AI engineering leadership to incorporate AI capabilities such as RAG, document processing, and LLM APIs into automation workflows.
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or related field.
2 to 4 years of experience in software development, automation engineering, system integration, or cloud development.
Strong proficiency in Python programming, REST API integration, Microsoft Word and Excel automation, and SQL databases.
Familiarity with AWS cloud services (e.g., S3, EC2, CloudWatch) and Git; experience with C#, .NET, or VBA is highly desirable.
Experience developing enterprise automation solutions integrating cloud, internal, and third-party platforms (CRM, ERP, GIS, project management).
Technical skills aligned with AI workflow automation using technologies like Retrieval-Augmented Generation, vector databases, and prompt engineering.
Comfortable managing full project lifecycle from requirements gathering to deployment and maintenance in a DevOps environment.
