Senior Software Engineer I

Trader Interactive•Virginia Beach, VA

12d

About The Position

At Trader Interactive, we make buying and selling a great experience. We're a group of go-getters who decided they didn't want to settle for the status quo. We come together as one team to build value and drive innovation across our industries - but we have fun while we do it and make sure our people are always our #1 priority. When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different teams and small enough to connect authentically with leadership.

Requirements

Experience with TypeScript.
Familiarity with AI-assisted development tools (e.g., AI code assistants), and a willingness to use them responsibly to improve productivity.
Understanding of version control systems (e.g., Git), and understanding of software development workflows.
Understanding of software design principles, such as object-oriented programming and software architecture.
Strong problem-solving skills, with the ability to debug simple issues and seek help when needed.
Willingness to learn and adapt, demonstrating initiative in mastering new technologies and improving existing skill sets.
Good communication skills, both written and verbal, with the ability to work collaboratively within a team environment.

Nice To Haves

Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields

Responsibilities

Contribute to the implementation of foundational product features, writing high-quality, secure, and maintainable code under technical guidance.
Adhere to established development standards, managing individual task delivery, and writing robust unit tests to ensure application health.
Collaborate closely within your engineering team, focusing on building domain expertise, absorbing code review feedback, and proactively aligning technical execution with the team's immediate delivery goals.
Actively develop technical skill set and foster collaborative peer connections, contributing to the steady execution and success of the task force.
Consistently write and maintain secure, maintainable, readable, and testable code under supervision, ensuring all deliverables strictly meet relevant acceptance criteria and the team's Definition of Done.
Implement basic features and core functions within a software component while building an introductory understanding of the broader component architecture and standard design patterns.
Adhere closely to established team development standards, style guides, and coding best practices, incorporating code review feedback loops, including critically reviewing AI-generated code before submission, to optimize technical execution.
Identify, report, and debug technical issues within familiar codebases and local systems, collaborating actively with peers and utilizing standard team troubleshooting workflows to resolve blockers quickly.
Actively participate in unit testing efforts and automated testing setups with engineering guidance, aligning code output with the organization's testing pyramid objectives.
Use AI-assisted development tools (such as AI code assistants) to accelerate routine coding, testing, and debugging tasks, always validating generated output for correctness, security, and maintainability before use.
Engage in foundational innovation and domain growth by sharing useful execution ideas, researching team systems, and pursuing stretch assignments to expand overall domain knowledge.
Observe and collaborate with senior team members to learn task breakdown methodologies, aiming to provide reliable, data-backed effort estimations for individual deliverables.
Proactively identify, escalate, and communicate dependencies, technical friction, or blockers within personal scope to mitigate delivery risks early.
Demonstrate standard operational awareness by learning the organization's core monitoring philosophies and observing system health data relative to the team's domain.