Quality Development Program

InterSystems•Boston, MA

67d•Onsite

About The Position

The Quality Development Rotational Program is a rotational experience for soon-to-be graduates (BS, MS or PhD) who are interested in the delivery of high-assurance software through advanced testing, validation, and system-level analysis. QDP engineers partner with development teams across the company to implement test automation, build continuous integration (CI) pipelines, and identify root causes of bugs and regressions in complex, distributed systems. We focus on software quality at scale —from performance profiling to security testing—to ensure our platforms are robust, reliable, and ready for real-world use. The program includes a 3-week onboarding and training period, followed by two 6-week team rotations to gain hands-on experience with different tools, workflows, and testing strategies across product teams. Participants receive mentorship and support from experienced engineers. Upon successful completion of the program and meeting InterSystems' expectations, participants will transition to their long-term role with a team based on interest, fit, and business needs.

Requirements

Soon-to-be graduates with a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related STEM field.
Graduation dates ranging from December 2025 to August 2026.
Foundational knowledge of Linux and Windows system administration, and networking principles, with an understanding of TCP/IP, DNS, DHCP, SSH, and firewalls.
Proficiency in object-oriented programming (e.g., Java, Python, C++, C#).
Exposure to scripting languages (e.g., Bash, PowerShell, Batch scripting).
Familiarity with unit testing frameworks (e.g., JUnit, pytest, NUnit) and test automation tools.
Understanding of version control (Git preferred) and CI/CD tools (e.g., Jenkins, GitLab CI).
Interest or experience in debugging, test-driven development, or software diagnostics.
Proven ability to effectively leverage AI coding agents (e.g., Claude Code, Codex) for tasks such as code generation, refactoring, debugging, and test creation while maintaining high quality standards.
Comfort working in an AI-augmented development environment, including evaluating outputs from coding agents and ensuring correctness, security, and maintainability.
Strong analytical and problem-solving skills.
Attention to detail and ability to spot edge cases and performance issues.
Eagerness to learn, adapt, and grow in a technical, fast-paced environment.
Passion for software quality and building systems that make a real-world impact.

Responsibilities

Implement test automation.
Build continuous integration (CI) pipelines.
Identify root causes of bugs and regressions in complex, distributed systems.
Focus on software quality at scale, including performance profiling and security testing.