Luxury Presence

Luxury Presence

Luxury Presence is a premier provider of real estate websites and digital marketing services tailored for high-grossing agents, teams, and brokers. They combine tech talent with real estate expertise to set a new standard for elite luxury real estate w...

Real Estate
251-1K
Founded 2015
$5M raised

Description

  • Own the end-to-end architecture for MLS and property data, including streaming and batch pipelines, microservices, storage layers, and APIs.
  • Design and evolve event-driven, Kafka-based data flows that power listing ingestion, enrichment, recommendations, and AI use cases.
  • Design, build, and operate backend services and microservices that expose listing, property, and recommendation data via robust APIs.
  • Implement and maintain scalable data processing for streaming and batch workloads (Spark or Flink) orchestrated via Airflow and running on Kubernetes where applicable.
  • Build and maintain high-volume, schema-evolving streaming and batch pipelines that ingest, normalize, and ensure quality of MLS and third-party data across 400+ feeds.
  • Champion observability and operational excellence—metrics, tracing, logging, alerting, runbooks, SLOs—and participate in on-call duties.
  • Collaborate with ML/AI engineers to design, integrate, and scale AI agents that automate feed onboarding, listing discrepancy triage, and other operational workflows.
  • Partner with Product, Analytics Engineering, Data Science, and Operations to translate business problems into technical strategies and shape the data platform roadmap.
  • Drive technical design reviews, set engineering best practices, make tradeoffs around reliability/performance/cost, and mentor other engineers.

Requirements

  • 10+ years of professional software engineering experience, including owning production systems end-to-end.
  • Significant experience with data-intensive or distributed systems at scale (high volume, high availability).
  • Prior experience in a senior or staff/lead role influencing architecture, standards, and technical direction.
  • Strong programming skills in Python or Java, with experience building microservices and APIs (REST/GraphQL).
  • Hands-on experience with Apache Kafka or similar event/messaging platforms (Kinesis, Pub/Sub, etc.).
  • Deep experience with Spark or Flink for large-scale streaming and batch processing (on EMR or similar), and with Airflow (or equivalent) for orchestration.
  • Experience running data/compute workloads on Kubernetes and strong SQL and data modeling skills with understanding of ETL/ELT and data warehousing concepts.
  • Experience building on AWS (preferred) or another major cloud provider with awareness of cost, reliability, and security tradeoffs.
  • Experience building or integrating AI agents into production workflows and familiarity with frameworks such as PydanticAI, LangChain/LangGraph, Claude Code or similar.
  • Comfort working with logs, telemetry, evaluation metrics to monitor and iteratively improve AI-driven systems; strong communication and mentorship experience.

Benefits

  • Remote work (Canada) — full-time remote role within Canada Engineering.
  • Opportunity to work at a fast-growing, well-funded Series C company scaling toward $100M ARR.
  • Hands-on work with cutting-edge AI-powered products, data platform infrastructure, and high-impact customer-facing features.
  • Collaborative, global team environment with cross-functional impact and mentorship opportunities.
  • Company recognition and awards, including BuiltIn 'Best Place to Work' listings and industry accolades.
  • Equal Opportunity Employer commitment to fair consideration for all qualified applicants.

Interested in this position?

Apply directly on the company website

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