
51 - 200 employees
💼 Consulting
🛡️ Insurance
📦 Logistics
Consulting • Insurance • Logistics
Proper is a company that provides specialized accounting services for property managers and real estate developers. Their services are designed to enhance profitability and efficiency by managing the books for these clients. Proper utilizes expert accountants with backgrounds from leading accounting organizations and integrates with popular property management software platforms. They offer scalable pricing options and are equipped to handle a diverse range of asset class challenges such as co-ops, mobile homes, and short-term rentals.
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51 - 200 employees
💼 Consulting
🛡️ Insurance
📦 Logistics
Consulting • Insurance • Logistics
Proper is a company that provides specialized accounting services for property managers and real estate developers. Their services are designed to enhance profitability and efficiency by managing the books for these clients. Proper utilizes expert accountants with backgrounds from leading accounting organizations and integrates with popular property management software platforms. They offer scalable pricing options and are equipped to handle a diverse range of asset class challenges such as co-ops, mobile homes, and short-term rentals.
• Design, build, and maintain backend services across a Go, NestJS/TypeScript, and Python microservices estate • Own the AI-backed document processing and classification service, including extraction quality, accuracy measurement, and its surrounding pipeline • Design and maintain third-party platform integrations, including authentication, synchronization, retries, and recovery • Design data schemas, migrations, and invariants as the product evolves • Debug across service boundaries and databases to identify root causes • Build observability and provenance into automated flows so actions are traceable, auditable, and reconstructable • Design safe automation with idempotency, preconditions, postconditions, dry runs, and guardrails • Write clean, tested, maintainable code and improve system instrumentation • Define and track correctness and reliability measures • Build evaluation coverage for AI-backed output, including scenario tests, invariant checks, and regression detection • Monitor and improve latency, retries, and failure recovery in automated pipelines • Mentor mid-level engineers • Lead design discussions and code reviews • Document architecture decisions, failure modes, and debugging runbooks • Act as a technical counterpart to the Tech Lead on architecture
• 6+ years of professional software engineering experience, with a majority in backend or systems work • Demonstrated ownership of a non-trivial production system • Production services in Go and/or Python; TypeScript/Node useful • PostgreSQL, schema design, migrations, query performance, and data integrity • Distributed and cross-service debugging across services, queues, and databases • Third-party API integration engineering, including authentication, retries, idempotency, and partial-failure handling • Observability, structured logging, tracing, failure-mode analysis, and recovery design • Unit and scenario testing, invariant checks, and evaluation of non-deterministic AI-backed output • GCP preferred, including Cloud Run, Cloud SQL, and Pub/Sub; Docker and CI/CD • Experience working with LLM-backed services and validating their output • Bachelor's or Master's in Computer Science, Software Engineering, or a related field — or equivalent practical experience • Strong CS fundamentals • Strong communication of design decisions, trade-offs, and risk • Pragmatic and collaborative approach
• Equal opportunity employer committed to a diverse work environment • Full-time employment
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