Staff Software Engineer

Dwelly is a fast-growing, AI-enabled lettings and property management platform based in the UK. 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 to production while collaborating closely with product managers.

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