Software Engineer

Logicbroker, Inc.

$90K — $110K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field, or equivalent practical experience.
  • 1-4 years of professional software development experience (internships or academic projects apply).
  • Working proficiency in at least one of: C#/.NET, Python, or Go.
  • Comfort with AI coding assistants and ability to validate their output.
  • Understanding of REST APIs and relational databases (e.g., Postgres, MSSQL).
  • Familiarity with git version control and code review processes.
  • Strong problem-solving skills with a proactive approach to seeking help.

Responsibilities

  • Design, build, and test features in assigned domain under senior engineers' guidance.
  • Write clean, well-tested code and participate in code reviews.
  • Utilize AI coding tools for code scaffolding, test generation, and documentation.
  • Critically evaluate AI-generated suggestions for correctness and fit.
  • Engage in the full development lifecycle from analysis to monitoring.
  • Diagnose bugs and resolve production issues, escalating when necessary.
  • Contribute to technical documentation for features developed.

Benefits

  • Opportunities for mentorship and growth through collaboration with senior engineers.
  • Hands-on experience using advanced AI-assisted development tools.
  • Exposure to a diverse tech stack and various domains within commerce.
  • Participation in on-call rotation for incident response and resolution.
  • Development of solid technical documentation practices.
Full Job Description
Job Summary
We're looking for a Software Engineer to build and maintain features across our commerce platform, working within one of our core stacks (.NET, Python/Django, or Go) depending on team assignment. You'll implement well-tested code against established architectural patterns, work closely with senior engineers to grow your design judgment, and use AI-assisted development tools as a standard part of how you work.

What You'll Do:

  • Design, build, and test features within an assigned domain (order management, catalog, invoicing, connectors, etc.) under the guidance of senior engineers and the team's technical lead.
  • Write clean, well-tested code following existing patterns and conventions; contribute to code review for peers.
  • Use AI coding assistants (e.g., GitHub Copilot, Claude Code) as a core part of your daily workflow for scaffolding, test generation, documentation, and navigating unfamiliar or legacy code.
  • Critically evaluate AI-generated code and suggestions before merging: verify correctness, security, and fit with existing domain models rather than accepting output at face value.
  • Participate in the full development lifecycle: requirements analysis, implementation, testing, deployment, and monitoring.
  • Diagnose and resolve bugs and production issues, escalating appropriately when root cause requires senior/staff involvement.
  • Contribute to technical documentation and runbooks for the features you build.
  • Collaborate with Product, QA, and other engineers to translate requirements into working software.
  • Participate in on-call rotation and incident response.

What We Need:

  • Bachelor's degree in Computer Science or related field, or equivalent practical experience.
  • 1-4 years of professional software development experience (internship or academic project experience considered for candidates at the lower end of this range).
  • Working proficiency in at least one of: C#/.NET, Python, or Go.
  • Demonstrated comfort using AI coding assistants as part of a development workflow, with the judgment to verify rather than blindly trust their output.
  • Understanding of REST APIs and relational databases (e.g., Postgres, MSSQL).
  • Familiarity with git-based version control and code review workflows.
  • Strong problem-solving skills and willingness to ask for help/escalate appropriately.
  • Clear written and verbal communication.

Preferred Skills

  • Exposure to cloud platforms (AWS, Azure) and containerized environments (Docker, Kubernetes).
  • Familiarity with EDI, dropship, or marketplace integration concepts.
  • Experience with automated testing frameworks and CI/CD pipelines.

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