Staff Software Engineer

About Dwelly

Dwelly — a UK-based, AI-enabled lettings and property management platform, that is growing through a roll-up strategy acquiring estate agencies. The company leverages two arms: i) acquiring existing letting agencies, effectively buying its highly sticky, recurring revenue-type landlords portfolios, and then ii) building a top-notch technology to automate tenant management, payments, and post-rental property maintenance. The company seamlessly integrates AI services to automate all business processes within brick-and-mortar real estate agencies, integrating them into a tech-enabled digital letting platform in two months to radically improve the user experiences and increase efficiency of the business.

We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations.

Position Summary

We’re looking for a Staff Software Engineer to join one of our core domain teams — Tenant Find, Property Management, or Payments. This is a high-impact role at the intersection of business, product, architecture, and hands-on execution. You will be expected to understand how the domain works in practice, identify the highest-leverage opportunities for automation, shape the solution, and drive it through to production. You will work in a small, high-ownership team where exceptional engineers can have disproportionate impact. This role requires advanced day-to-day use of AI and LLMs as part of exploring problems, evaluating solution paths, accelerating implementation, and designing automation systems.

Key Responsibilities

• Deep domain understanding — 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.
• Automation and AI-driven systems — 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.
• Product and architectural collaboration — 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.
• End-to-end ownership and impact — 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