Mid Automation Engineer

New
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
SQLAgileGitJiraRESTful APIs

Requirements

  • Hands-on experience in RPA development using tools such as UiPath, Blue Prism, or similar platforms.
  • Strong understanding of software development principles, including object-oriented programming concepts.
  • Experience working with APIs, web services, webhooks, and system integration workflows.
  • Solid knowledge of SQL and database systems for data handling and troubleshooting.
  • Familiarity with automation testing, debugging, and unit testing practices.
  • Exposure to Agile methodologies and tools such as Jira or similar project tracking systems.
  • Understanding of source control systems such as Git or Subversion.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently in a fast-paced, evolving technical environment.
  • Degree in Computer Science, Engineering, Information Systems, or related field is preferred.
  • Experience with AI-enabled automation tools (e.g., AI agents, OCR, NLP, or machine learning concepts) is a strong plus.
  • Knowledge of cloud platforms such as AWS or Azure and related automation services is highly desirable.

Responsibilities

  • Design, develop, and deploy RPA-based automation solutions aligned with business and technical requirements.
  • Analyze business processes to identify automation opportunities and assess feasibility, effort, and impact.
  • Build and maintain scalable, well-structured, and maintainable automation workflows using RPA best practices.
  • Integrate automation solutions with enterprise systems, databases, APIs, web services, and external data sources.
  • Collaborate with business stakeholders to document requirements, map processes, and define solution architecture.
  • Support end-to-end implementation including testing, UAT, deployment, and production monitoring.
  • Troubleshoot and resolve issues in live automation processes, ensuring stability and performance.
  • Maintain comprehensive technical documentation, including design specifications and test cases.
  • Work within agile delivery teams, contributing to sprint planning, delivery tracking, and risk identification.
  • Contribute to the enhancement of automation frameworks by incorporating AI-driven tools and emerging technologies.
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