AI Automation Engineer
New
J
JobgetherSecurity & IT
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 4+ years
- Required Skills
- AWSPythonJavascriptAzureMicroservices
Requirements
- 4+ years of experience in automation engineering, software development, systems engineering, or related technical roles.
- Strong experience with automation platforms such as n8n, Make.com, Zapier, or similar workflow automation tools.
- Experience designing and maintaining microservices in cloud environments such as AWS or Azure.
- Knowledge of cloud infrastructure and technologies supporting AI integrations.
- Proven scripting experience with Python, JavaScript, or similar programming languages.
- Experience working with low-code/no-code platforms for rapid solution deployment.
- Ability to design automation solutions that integrate multiple systems and business processes.
- Strong analytical and problem-solving skills with a practical approach to technology challenges.
- Excellent written and verbal communication skills, with professional fluency in English.
- Ability to work independently while collaborating effectively within agile or startup-style teams.
Responsibilities
- Design, build, and deploy custom automation solutions using low-code and no-code platforms.
- Develop and optimize workflows using automation tools such as n8n, Make.com, Zapier, and similar technologies.
- Work directly with clients to understand automation requirements and translate business needs into effective technical solutions.
- Build, host, manage, and scale microservices within cloud environments such as AWS or Azure.
- Develop custom scripts and integrations using programming languages including Python and JavaScript.
- Collaborate with cross-functional teams to implement AI-powered automation solutions aligned with business objectives.
- Ensure automation solutions are scalable, secure, reliable, and maintainable.
- Analyze existing processes and identify opportunities for automation and improvement.
- Document technical processes, workflows, and implementation approaches to support knowledge sharing.
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