Software Engineer, Financial Systems
Opendoor · Seattle, WA · Engineering
About this role
Opendoor is hiring a mid-level Software Engineer based in Seattle, WA. The posting calls out experience with Python, TypeScript, SQL, Node.js and roughly 8+ years of relevant work. Compensation is listed at $198,000–$271,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Seattle, WA
- Work mode
- On-site
- Experience
- 8+ years
- Department
- Engineering
More roles at Opendoor
Job description
from Opendoor careersSoftware Engineer, Financial Systems
Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington
About the Role
At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.
We are eliminating the manual work that slows down operations. We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention. You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.
What You'll Do
- Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
- Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
- Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
- Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
- Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.
Tech Stack
- Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
- Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
- Languages: Python, Go, SQL, TypeScript/Node.js
- Infrastructure: AWS, Terraform, Docker, GitHub Actions
- AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration
What You'll Need
- Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
- 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
- Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
- Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
- Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
- Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.
Bonus Points For
- Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
- Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
- Track record building AI-powered automation, workflow orchestration, or internal tools.
- M.S. in Computer Science.
Compensation
The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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