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Internship Unit Testing Jobs in Virginia (NOW HIRING)

You should have academic, internship, project-based, or early professional exposure to testing web ... Support automated testing activities at the unit, integration, and end-to-end levels; exposure to ...

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Internship Unit Testing information

What is the difference between Internship Unit Testing vs Software Tester?

AspectInternship Unit TestingSoftware Tester
Required CredentialsBasic knowledge of testing concepts, often pursuing related educationMore comprehensive testing skills, certifications like ISTQB beneficial
Work EnvironmentInternship setting, supervised, learning-focusedFull-time or part-time professional role, independent testing tasks
Employer & Industry UsageInternship programs in software companies, tech startupsEstablished companies, software development firms

Internship Unit Testing typically involves entry-level, supervised testing tasks during a training period, focusing on learning testing fundamentals. Software Testers are experienced professionals responsible for comprehensive testing processes, including planning, execution, and reporting. While both roles involve testing, internships are learning positions, whereas testers are full-time roles with broader responsibilities.

What cities in Virginia are hiring for Internship Unit Testing jobs? Cities in Virginia with the most Internship Unit Testing job openings:
Associate Software Engineer JobID-0050

Associate Software Engineer JobID-0050

Innovative Defense Technologies (IDT)

Arlington, VA • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
Innovative Defense Technologies (IDT) is a provider of cutting-edge cloud-based integration, automated testing, and data analysis for the US Department of Defense. They are seeking an Associate Software Engineer to design, develop, and integrate software solutions for their Warfare Systems team, ensuring high-quality and innovative software delivery.
Responsibilities:
• Design, develop, document, and test backend software components and algorithms using modern programming languages such as C++, Python, Java, or C#.
• Analyze and interpret system and software requirements to ensure clarity, feasibility, and traceability.
• Integrate software components into complex development environments, ensuring interoperability across distributed systems, APIs, databases, and networking layers within DoD software ecosystems.
• Apply secure coding practices and established engineering standards related to security, performance, and reliability.
• Model, implement, and test algorithms and backend services using unit and interface testing frameworks.
• Identify potential technical and cybersecurity risks within software implementations.
• Utilize AI coding assistants to support code generation, refactoring, debugging, and root-cause analysis.
• Work within small, cross-site teams of software and systems engineers.
• Manage multiple concurrent assignments, adapt to changing priorities, and contribute to meeting program milestones.
Qualifications:
Required:
• Bachelor’s Degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, Data Science, Cyber Security, Mathematics, Aeronautical Engineering, or equivalent full-time professional experience.
• 0–2+ years of full-time professional experience in backend software development or related technical roles (internship experience applicable).
• Ability to travel up to 15% of the time as needed.
• Familiarity with the software development lifecycle (requirements through deployment).
• Proficiency in at least one modern backend language (e.g., Python, Java, C++, C#).
• Ability to design, develop, and analyze algorithms and backend software systems.
• Understanding of Windows and Linux file systems.
• Experience using version control systems (e.g., Git).
• Understanding of APIs (REST/gRPC) and modular code design principles.
• Familiarity with SQL and relational databases (e.g., Postgres).
• Familiarity with networking fundamentals and protocols (e.g., TCP/IP, UDP, CORBA, DDS).
• Ability to review, critique, and harden AI-generated code.
• Ability to manage multiple concurrent assignments and adjust priorities as needed.
• Strong analytical thinking, problem-solving skills, and technical communication abilities.
Preferred:
• Experience with cloud computing, virtualization, or containerization technologies.
• Familiarity with cloud infrastructure platforms (e.g., Azure, AWS, GCP).
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Cassandra).
• Demonstrated experience using AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, Codeium) for code generation, optimization, debugging, and iterative improvement.
• Ability to write effective prompts and iterate with AI tools to enhance performance and code quality.
• Understanding of AI limitations, hallucinations, and validation techniques.
• Experience with unit testing and interface testing frameworks.
• Exposure to complex DoD or defense-related software systems.
Company:
Innovative Defense Technologies is an information technology company that provides software testing and data analysis services. Founded in 2006, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.