Junior Automation Engineer

We are a forward-thinking, technology-driven organization operating across multiple high-growth sectors—from finance and healthcare to e-commerce and automotive. Our culture is built on innovation, collaboration, and a commitment to solving complex challenges through intelligent automation. By joining our distributed team, you will work alongside seasoned experts dedicated to pushing the boundaries of what's possible and fostering the next generation of engineering talent. 

Your Impact and Responsibilities

- Design, develop, and deploy robust automation scripts using Python to streamline critical business processes.

- Integrate cutting-edge AI and machine learning tools (like UiPath, Selenium, and other modern frameworks) to enhance automation capabilities.

- Rigorously test and validate automation workflows to ensure they are efficient, error-free, and meet strict performance benchmarks.

- Troubleshoot and debug complex issues within automation systems, applying systematic problem-solving techniques to find—and permanently fix—root causes.

- Create and maintain clear, comprehensive technical documentation for all developed scripts, processes, and system configurations.

- Participate in the ongoing maintenance and enhancement of existing automation infrastructure, ensuring high availability and system reliability.

- Collaborate effectively with cross-functional teams (including software developers, QA specialists, and business analysts) to identify new automation opportunities.

- Proactively analyze system performance and identify bottlenecks, implementing optimizations to boost speed and efficiency across the board.

- Support the deployment of automation solutions into production environments, contributing to a smooth and successful rollout.

Qualifications and Skills

- A Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field is required.

- A solid foundation in Python programming, including experience with relevant libraries for automation and data handling.

- Hands-on experience or academic project work with automation tools such as Selenium, UiPath, Playwright, or similar RPA/testing frameworks.

- Foundational knowledge of machine learning concepts and an eagerness to apply AI principles to real-world automation challenges.

- Exceptional analytical and problem-solving skills, with a knack for debugging code and untangling complex technical issues.

- Strong collaboration and communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

- An understanding of system integration principles, including experience with APIs (REST, SOAP), is a significant plus.

- A continuous improvement mindset and the adaptability to learn new technologies and frameworks in a fast-paced environment.

- Familiarity with version control systems (e.g., Git) and CI/CD concepts is highly desirable.