Staff Software Engineer

ApartmentIQ is a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. They are seeking a staff-level engineer to own the pipeline that produces pricing recommendations for real apartments, solving complex data challenges and building infrastructure.

Responsibilities:

• Own a system that sets rents
• Solve a genuinely hard data problem
• Build the infrastructure you depend on
• Build the orchestration layer
• Prove the numbers are right
• Work across the whole stack, for real
• Set the bar on AI-assisted engineering

Requirements:

• Proven Track Record: 8+ years building and operating production systems, with real ownership of something significant
• Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration
• Infrastructure as Code: Hands-on Terraform. You've stood up a production data store yourself, including the IAM, encryption, networking, and alarms around it
• Data & SQL depth: Fluent in analytical SQL and data modeling - you've built and debugged multi-stage warehouse pipelines (ours run on Redshift) and reconciled messy source data into something trustworthy. You've worked across the major database paradigms - relational, key-value/document, and search — and know what one is the best tool for the job at hand
• Ruby on Rails: You can own changes across a large Rails codebase, even if it's not where you've spent the most time
• Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM
• ML in Production: You've kept models serving correctly over time - versioning, dependency drift, feature plumbing, explainability. You don't need to have trained them
• Adaptable & Autonomous: Experience navigating a fast-paced, growth-stage environment where priorities shift and ownership is expected
• Golang experience
• Web scraping at scale (Playwright or similar)
• OpenSearch index management and tuning
• SOC 2 or similar compliance and security remediation work
• xgboost, scikit-learn, or SHAP
• Multifamily, PropTech, or revenue management domain experience