Software Engineer
Momentus Technologies
Full Stack Software Engineer
Momentus Technologies is hiring a Full Stack Software Engineer who is experienced in C#,.NET technologies, and modern web technologies (Angular, Aurelia). The expectation for this role is to work across the full stack - from UI to database — while designing, building, and launching cutting-edge SaaS solutions for the event space. Join our collaborative team where our core values – Passion, Speed, Focus, Innovate, and Humility – guide how we work and interact every day, making us a welcoming workplace.
Responsibilities
- Ensure software is delivered efficiently and on time using C#.NET / ASP.NET.
- Work across the full software stack, including UI, backend services, and database layers.
- Work with client technologies like Angular, Aurelia, Typescript, Javascript, CSS, and HTML.
- Participate in an agile (SCRUM) development team.
- Establish and improve high standards for software design and development.
- Collaborate with software engineers, quality engineers, devops, and management to provide technical guidance throughout projects.
- Review business and technical requirements and encourage knowledge sharing within the team.
- Dive deep into system analysis and programming, often involving extensive research.
- Test software thoroughly using unit and integration testing frameworks such as xUnit, NUnit, or MsTest.
- Stay updated on new technologies, AI-first development practices, and software development tools.
- Work with AI coding tools such as Claude Code, GitHub Copilot, Cursor, or similar technologies.
- Collaborate with global teams, with some level of overlapping work hours expected.
Requirements
- Fluent in English.
- At least 5+ years of professional software engineering experience.
- Experience in the Microsoft development stack (C#, ASP.NET, SQL Server).
- Experience in web technologies (JavaScript, Typescript, Angular, Aurelia, HTML, CSS).
- Experience with AI coding tools such as Claude Code, GitHub Copilot, Cursor, or equivalent.
- Understanding or exposure to AI-first SDLC practices is preferred.
- A degree in Computer Science or equivalent experience.
- Experience with issue tracking software like Jira or Azure DevOps.
- Experience with Git/GitHub.
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