Automation Engineering Intern

Automation Engineering Intern at Maximus

Our Automation Engineering Intern position offers hands-on experience working with cutting-edge technologies in Python, AI, and test automation. Interns will collaborate with experienced engineers to develop automation solutions that improve software quality and accelerate delivery. This role is ideal for students who are eager to learn, innovate, and contribute to meaningful projects in a fast-paced technical environment.

Essential Duties and Responsibilities

• Work on IT assignments of moderate difficulty under the direction of a more senior mentor to build a well-rounded skillset.
• Escalate issues and questions to management, as necessary.
• Participate in group discussions with peers or external groups to solution problems of moderate scope.
• Participate in meetings to gain process knowledge and guidance on assigned projects.
• Read, understand, and perform assignments within prescribed guidelines.
• Approach challenges and create solutions with a critical thinking and customer service mindset.
• Prepare standard reports and presentation materials.
• Contribute to the development of test documentation, including test plans, test cases, and automation guidelines.
• Apply strong analytical and critical-thinking skills to identify potential gaps in testing strategies and propose solutions.
• Participate in code reviews to improve coding practices and ensure maintainability of automation scripts.
• Conduct research on emerging technologies in AI, automation tools, and Python frameworks to support continuous improvement initiatives.
• Participate in evaluating and integrating AI-driven testing tools and platforms to improve quality assurance processes.

Minimum Requirements

• High school diploma or GED required and 0-2 years of relevant professional experience, or equivalent combination of education and experience.
• Coursework or hands-on experience using Python for scripting, automation, or data processing.
• Familiarity with basic AI/ML concepts such as model input/output handling, prompt engineering, or using AI tools (e.g., for generating tests or analyzing results).
• Understanding of software testing principles, including functional, regression, and integration testing best practices.
• Experience with Git/GitHub or any source control system, including reviewing or collaborating on code.
• Strong analytical, problem-solving, and critical-thinking skills.
• Comfortable preparing and delivering demo or presentation materials.

Key skills/competency

• Python
• Test Automation
• Artificial Intelligence (AI)
• Software Testing
• Git/GitHub
• Scripting
• Quality Assurance (QA)
• Analytical Skills
• Problem-Solving
• Code Review