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Staff Software Engineer - Search & Maps - CANADA (Remote)

28 days ago 2026/07/30
Remote
General Engineering Consultancy
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Job description

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.
The Opportunity

We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else.


As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like.


What You'll Do

Own and scale a high-throughput search platform. Drive the architecture and performance of a real estate search system handling 1.5B+ monthly requests and hundreds of millions of listings, optimizing for latency, relevance, and reliability across Kafka and Elasticsearch.


Deliver a world-class home search experience. Build and evolve the core home discovery experience across web and mobile—improving engagement, lead conversion, and agent workflows while maintaining fast, responsive interactions at scale.


Build and evolve a highly reliable notifications platform. Own and extend a centralized system delivering tens of millions of emails per month and SMS traffic, ensuring high deliverability, reliability, and extensibility for product teams.


Push forward AI-powered discovery experiences. Collaborate with teams to integrate LLMs and intelligent ranking into search and user workflows—improving how buyers and agents discover, filter, and engage with listings.


What We're Looking For

Attributes


  • You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty


  • You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture


  • You think in systems. You connect technical decisions to customer outcomes and long-term business value


  • You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders


  • You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real


  • You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together




Skills and Experience


  • 8+ years of professional software engineering experience, with meaningful time in senior or staff-level roles


  • Deep expertise in TypeScript, Node.js, and React


  • Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred)


  • Strong understanding of GraphQL, event-driven systems (Kafka, SQS), and distributed databases (PostgreSQL, DynamoDB, Elasticsearch)


  • Proven track record leading high-impact initiatives from concept through production in a SaaS environment


  • Expert-level grasp of software design principles and experience with multi-tenant platform architectures




Tech Stack


  • Frontend: React, Tailwind, Apollo


  • Backend: Node/TypeScript Microservices


  • Data: Postgres, Redis, Elasticsearch


  • Infrastructure: AWS, Kubernetes, Lambda, Temporal


  • Messaging: Kafka, SQS




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