Senior Software Engineer

Proper AI is an AI-first accounting service built for property managers and real estate operators.

By combining automation, technology, and a global team of accounting experts, we deliver faster, more accurate financial operations at scale.

We’re a team of builders, problem-solvers, and operators from around the world, working together to modernize one of the most critical functions in real estate.

Learn more at Proper.ai 

We are looking for a Senior Software Engineer with strong backend and systems fundamentals to help own the core of our platform: the services, data models, and automations behind workflow and productivity tooling for B2B accounting operations. 

This is a depth role, not a breadth role. The work is logic-heavy — multi-service data flows, third-party platform integrations, and document-processing pipelines where correctness matters more than surface area. The engineer will be a technical counterpart to the Tech Lead on architecture, and will take ownership of our AI-backed document processing service. 

The ideal candidate is language-agnostic in outlook but deep in practice: comfortable moving between Go, Python, and TypeScript, and able to build a real working model of an unfamiliar system before changing it.

• Backend engineering depth — production services in Go and/or Python; TypeScript/Node useful. Multi-language comfort matters more than any single stack.
• Data modelling and relational databases — PostgreSQL, schema design, migrations, query performance, and reasoning about data integrity. 
• Distributed and cross-service debugging — tracing behaviour across services, queues, and databases to isolate a root cause. 
• Third-party integration engineering — external APIs with imperfect contracts: auth expiry, partial failures, retries, idempotency. 
• Reliability practice — observability, structured logging, tracing, failure-mode analysis, and recovery design. 
• Testing and evaluation — unit and scenario tests, invariant checks, and measuring correctness of non-deterministic (AI-backed) output. 
• Cloud and infrastructure — GCP preferred (Cloud Run, Cloud SQL, Pub/Sub); Docker and CI/CD. 
• Working with LLM-backed services — using them as components, understanding their failure modes, and validating their output. Prior agent-framework experience is a plus, not a requirement. 

• Calibrates depth to stakes. Ships routine, low-risk work quickly; deliberately slows down on core systems, data models, and anything touching money or client data — and can tell the difference without being told. 

• Verifies before concluding. Checks the premise of a bug report rather than building on it; can distinguish a real defect from correct behaviour measured the wrong way. Reads the system before changing it. Builds a working model of how something actually behaves, then changes it. 

• Owns outcomes, not tickets. Goes past the literal ticket text when the ticket is wrong, incomplete, or describes the wrong problem. 

• Strong communicator of design decisions, trade-offs, and risk, to technical and non technical audiences. 

• Pragmatic and collaborative — high standards without perfectionism, and works well with Product and Operations.

• Experience in both high-growth startups and larger engineering organisations. Accounting, fintech, or other domain where correctness is non-negotiable. Document processing, OCR, or information-extraction pipelines. 

• Vector databases / retrieval (e.g. Qdrant) and prompt or model evaluation. Frontend familiarity (Vue or React) — useful for full-feature ownership, not a core requirement. 

• B2B SaaS background.

• Bachelor's or Master's in Computer Science, Software Engineering, or a related field — or equivalent practical experience. Strong CS fundamentals matter; the credential does not.

• 6+ years of professional software engineering, with a majority in backend or systems work. Demonstrated ownership of a non-trivial production system (not just feature delivery within someone else's design). 

• Experience at an organisation with mature engineering standards is valuable.

Proper is proud to be an equal opportunity employer committed to creating a diverse environment to work by offering the same opportunities to all applicants regardless of gender, sexual orientation, race, color, religion, disability, national origins, marital status, or other characteristics. We base our talent search exclusively on competencies, abilities and potential.