Work across the application, database, and frontend layers, including implementing API-driven features, writing and optimizing SQL queries, making UI updates, and working with forms and page layouts.
Use AI coding assistants and agentic tools such as GitHub Copilot, Claude Code, or Cursor as part of your daily workflow for code generation, debugging, test writing, and code review, while maintaining full ownership of the code you ship.
Collaborate with product managers, designers, and developers to define requirements, scope work, and deliver solutions.
Write and maintain unit and integration tests to keep features reliable as they evolve.
Review code from peers for quality, maintainability, and adherence to coding standards, providing constructive feedback.
Identify and resolve performance issues and bugs in existing code.
Share knowledge, provide guidance to less experienced developers, and contribute to a collaborative engineering environment.
- Explore where AI can add value to our product and contribute to building AI-powered capabilities.
- What you'll bring:
- A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
2–4 years of professional software development experience, with hands-on experience working on production systems.
Strong proficiency in C# and .NET, including ASP.NET MVC, .NET Framework, or .NET web applications and APIs.
Solid experience with SQL Server, including writing and optimizing queries, and working with stored procedures and indexes.
Working knowledge of JavaScript, HTML, and CSS, including DOM manipulation, form validation, and working with API responses.
Understanding of web fundamentals, including HTTP, REST APIs, and the request/response lifecycle.
Experience writing unit and integration tests and using Git for version control.
Hands-on experience using AI tools in professional development work, such as coding assistants or agentic workflows, and a good sense of when to rely on them and when to verify their output.
- Strong written and verbal communication skills and a collaborative approach to teamwork.
- It's a nice to have if you bring:
- Experience building or integrating AI or LLM-powered features, such as calling LLM APIs, prompt design, or retrieval-based workflows.
Experience on cloud-based SaaS products, particularly on Microsoft Azure.
Familiarity with CI/CD pipelines, agile development, and secure coding practices.
- Experience mentoring junior engineers or contributing to team engineering practices.
- Why work at Cin7?
- We are a fast growing business going through a huge amount of growth.
You’ll have the opportunity to work on products that are used by our global customer-base and at the same time you’ll be growing your career and developing new skills.
Hybrid work environment
Work From Anywhere for 30 days in a six month period
Celebrate your birthday with a paid day off
A Global Cin7 Day celebrated companywide, providing you a dedicated holiday to focus on your own wellbeing.
Recruitment referral bonus
Work for a Great Place to Work®
