Software Engineer

Logicbroker

20d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.