Staff Software Engineer

🕒 Agosto 8

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ApartmentIQ

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏠 Imobiliário

☁️ SaaS

Real Estate • SaaS

O ApartmentIQ é uma plataforma de dados de mercado imobiliário multifamiliar que integra diariamente dados de 40 milhões de unidades em ferramentas para pesquisas de mercado, pesquisas e gestão de receitas. Ele oferece pesquisas de mercado automatizadas diariamente, um produto de pesquisa de mercado (Explore Pro) e um produto de gestão de receitas baseado em IA chamado Daylight. O ApartmentIQ atende a mais de 1. 500 empresas de gestão de propriedades (PMCs) e monitora diariamente mais de 8 milhões de unidades, com dados históricos e agregação de dados de preços/concessões. A plataforma é utilizada por gestores de ativos, gerentes de receitas e equipes de desenvolvimento de negócios no setor imobiliário multifamiliar para coletar inteligência competitiva, acompanhar pipelines de construção, comparativos de aluguel e automatizar fluxos de trabalho de inteligência de mercado.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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