greenhouse
Software Engineer, Frameworks
Tulip Interfaces
Somerville, USA
Mid · 3+ years experience
USD 130000-180000 / year
Discovered 1 weeks ago
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This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week.
Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations.
Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.
A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel.
Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's “Best Places to Work” and “Best Midsize Places to Work.”
About You
You're an engineer at heart who finds joy in building the software that other software runs on — and you think about that software like a product.
Your customers happen to be other engineers, so you care about how the platform feels to use, not just whether it works.
You believe a platform should be a set of robust, resilient, and intuitive libraries rather than a collection of scripts, and you're curious about where people get stuck and why.
You're eager to use AI-assisted development tools to move faster, improve the developer experience, and make the platform more reliable.
What skills do I need?
- 3+ years of software engineering experience building and shipping complex backend systems
- Strong skills in at least one modern backend programming language
- Working knowledge of relational and non-relational databases
- Solid understanding of cloud native or cloud hybrid solutions
- A product mindset toward internal tooling — you seek out feedback from the engineers using what you build and iterate on it
- Comfort using AI-powered engineering tools (e.g., Claude, Cursor, GitHub Copilot, or similar) in your day-to-day workflow
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