Staff Software Engineer

Dwelly is a UK-based, AI-enabled lettings and property management platform that is growing through a roll-up strategy acquiring estate agencies. They are seeking a Staff Software Engineer to join their core domain teams, where the role involves understanding domain operations, identifying automation opportunities, and driving solutions from concept to production.

Responsibilities:

• Gain a deep understanding of your assigned domain (Tenant Find, Property Management, or Payments) and identify the highest-leverage opportunities for automation
• Understand real operational workflows, including legacy processes, manual work, local exceptions, and agency-specific variations
• Determine what should be standardized and what should remain flexible while designing robust, scalable solutions
• Design, implement, and maintain systems that automate manual processes across acquired agencies
• Apply advanced AI and agentic techniques pragmatically to improve decision quality, operational efficiency, and team leverage
• Ensure automation reduces operational load, improves reliability, and enhances business margins
• Partner closely with product managers to frame problems, define solutions, and prioritize initiatives
• Make architectural decisions grounded in operational reality rather than abstract models
• Contribute to moving the system and the people around it toward better outcomes, balancing flexibility, scalability, and reliability
• Take full responsibility for outcomes, not just implementation
• Deliver projects from concept to production rollout, continuously improving processes
• Influence the overall direction of your domain, shape automation strategy, and materially improve business economics

Requirements:

• Strong engineering background with experience independently delivering complex systems from idea to production
• Solid experience with Node.js + TypeScript and React + TypeScript
• Familiarity with modern TypeScript patterns, tRPC, Drizzle, and SQL (MySQL/Postgres), or ability to ramp up quickly
• Ability to design architectures for fast-changing products with real operational constraints
• High autonomy, ownership, and comfort making decisions under ambiguity
• Product judgment and the ability to connect technical decisions to business outcomes
• Strong understanding of the modern AI landscape and agentic workflows, with pragmatic application beyond hype
• Experience in end-to-end delivery in domains with fragmented legacy workflows and operational complexity
• Strong communication skills and fluency in English
• Higher degree education
• Startup mentality: resilience, adaptability, and ability to thrive in a fast-paced environment
• Customer-centric mindset: focus on delivering value to end-users or clients
• Strong problem-solving skills – ability to approach challenges logically and propose practical solutions