Automation Intern/Student

Description

qSpark is a leading innovator in high-frequency trading technology, developing cutting-edge solutions that power the financial markets. We thrive on pushing the boundaries of speed and efficiency, building robust systems that operate at the forefront of the industry. Our collaborative and dynamic environment empowers every team member to learn, grow, and make a real impact.

Within qSpark, the QA Automation team plays a critical role in ensuring the quality and reliability of our trading platform. We are a dedicated group of engineers who are passionate about automation and committed to delivering exceptional software. As an intern, you'll be immersed in a supportive environment where you can learn from experienced professionals, contribute to impact projects, and gain firsthand experience in the world of low-level code and automation. This internship is a hands-on opportunity to sharpen your Python skills while building and improving automated testing frameworks for mission-critical systems.

Key Responsibilities:

• Develop automated test and infrastructure in Python using common libraries
• Create targeted test cases to increase coverage for critical functionality
• Build and maintain efficient validation tools for our development ecosystem
• Work directly with developers to identify, troubleshoot and verify fixes
• Participate in technical knowledge sharing and code review sessions

Benefits:

• Mentorship and learning: Receive guidance and support from experienced Validation professionals
• Cutting-edge technology: Work with the latest tools and technologies

Dynamic environment: Gain hands-on experience in a fast-paced, growth-oriented environment.

Requirements

• Must-haves:
• Currently pursuing a B.Sc. in Computer Science, Software Engineering, or a related field.
• Solid programming skills in Python.
• Basic understanding of Linux command-line tools.
• Strong analytical and problem-solving abilities.
• Excellent communication skills in English.
• Nice-to-haves:
• Experience with test automation frameworks (e.g., pytest, unittest).
• Familiarity with CI/CD systems (e.g., Jenkins, GitLab CI) and version control (Git).
• Knowledge of networking concepts or backend systems.
• Experience developing automation frameworks or infrastructure components.