Staff Software Engineer

🕒 il y a 18 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 14%

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🗣️🇺🇸🇬🇧 Anglais requis

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ApartmentIQ

51 - 200 employés

🏠 Immobilier

☁️ SaaS

Real Estate • SaaS

ApartmentIQ est une plateforme de données de marché immobilier multifamilial qui intègre quotidiennement des données sur 40 millions d'unités dans des outils pour les enquêtes de marché, la recherche de marché et la gestion des revenus. Elle offre des enquêtes de marché quotidiennes automatisées, un produit de recherche de marché (Explore Pro) et un produit de gestion de revenus basé sur l'IA appelé Daylight. ApartmentIQ sert plus de 1 500 sociétés de gestion immobilière et suit plus de 8 millions d'unités quotidiennement, avec des données historiques et une agrégation des données de tarification/concession. La plateforme est utilisée par les gestionnaires d'actifs, les gestionnaires de revenus, et les équipes de développement commercial dans l'immobilier multifamilial pour recueillir des renseignements concurrentiels, suivre les pipelines de construction, les comparables de loyer, et automatiser les flux de travail d'intelligence de marché.

Description

• Own the end-to-end pipeline that produces demand models, renewal probability, price elasticity, and compliance scoring recommendations • Rebuild and reconcile lease and charge data from inconsistent property management system APIs • Provision and manage databases, queues, roles, IAM, encryption, networking, and alarms using Terraform • Build the orchestration layer for ingestion, inference, and downstream daily jobs • Ensure jobs run in the correct order, gate on ready inputs, and recover cleanly from upstream delays • Build observability and alerting for pipeline health, data freshness, and recommendation drift • Work across Python, Terraform, and Ruby/Ruby on Rails • Establish standards and review practices for AI-assisted engineering • Operate production systems end to end, including alarms, backfills, runbooks, and migrations • Improve code quality through reviews and raise engineering standards

🎯 Exigences

• 8+ years building and operating production systems • Strong Python experience in serverless or service contexts, including AWS Lambda, container images, dependency and runtime management, and multi-stage job orchestration • Hands-on Terraform experience, including production data stores, IAM, encryption, networking, and alarms • Fluency in analytical SQL and data modeling • Experience building and debugging multi-stage warehouse pipelines on Redshift • Experience reconciling messy source data into trustworthy datasets • Experience with relational, key-value/document, and search database paradigms • Ability to own changes across a large Ruby on Rails codebase • Deep AWS experience with Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM • Experience keeping production ML models serving correctly over time, including versioning, dependency drift, feature plumbing, and explainability • Experience in a fast-paced, growth-stage environment with shifting priorities and expected ownership • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

🏖️ Avantages

• Flexible vacation policy • Dedicated paid parental leave • Medical, Dental, and Vision insurance plans for you and your family • 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance • Supplemental insurance • Specialized pet insurance coverage • 401k Program • Remote work flexibility • In-person offsites

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