Posted at: 31 March
Staff Software Engineer - Search & Maps - US (Remote)
Company
Luxury Presence is a New York-based B2B digital platform specializing in award-winning real estate websites and marketing solutions for agents, teams, and brokerages in the luxury real estate market.
Remote Hiring Policy:
Luxury Presence supports remote work for U.S.-based candidates, with team members primarily located in the United States. The company embraces a flexible approach to remote hiring, allowing for collaboration across various time zones.
Job Type
Full-time
Allowed Applicant Locations
United States
Salary
$200,000 to $250,000 per year
Job Description
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
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You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty
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You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture
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You think in systems. You connect technical decisions to customer outcomes and long-term business value
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You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders
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You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real
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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
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8+ years of professional software engineering experience, with meaningful time in senior or staff-level roles
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Deep expertise in TypeScript, Node.js, and React
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Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred)
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Strong understanding of GraphQL, event-driven systems (Kafka, SQS), and distributed databases (PostgreSQL, DynamoDB, Elasticsearch)
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Proven track record leading high-impact initiatives from concept through production in a SaaS environment
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Expert-level grasp of software design principles and experience with multi-tenant platform architectures
Tech Stack
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Frontend: React, Tailwind, Apollo
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Backend: Node/TypeScript Microservices
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Data: Postgres, Redis, Elasticsearch
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Infrastructure: AWS, Kubernetes, Lambda, Temporal
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Messaging: Kafka, SQS