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Remote, generalist automation role with mid-level experience and broad cloud/AI requirements increases candidate competition.
Core automation, Python, API and cloud skills are highly transferable across industries.
Explicit 2–4 year requirement plus mandatory Python, API, SQL, AWS and integration experience creates strict filters.
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Design, develop, and deploy scalable automation workflows that eliminate manual work across engineering and business operations.
Build and maintain integrations and reusable automation components involving Microsoft 365, cloud services, REST APIs, and enterprise platforms including CRM, ERP, GIS, and engineering software.
Collaborate with AI Engineering Lead and internal stakeholders to incorporate AI capabilities and deliver AI-powered document processing and automation solutions with long-term ownership from concept through support.
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or related field.
2-4 years of experience in software development, automation engineering, system integration, or related technical roles.
Strong programming skills in Python; experience with REST API integrations, Microsoft Word and Excel automation, and SQL databases.
Familiarity with AWS cloud services (S3, EC2, CloudWatch), Git, and modern software development practices.
Experienced in building enterprise workflow automation involving multiple systems integration (CRM, ERP, GIS, engineering software) with cloud-native solutions.
Proficient in AI-enhanced automation techniques including RAG, knowledge indexing, vector databases, prompt engineering, and LLM APIs.
Comfortable managing end-to-end automation projects with long-term system reliability, scalability, and collaboration with multidisciplinary technical teams.
