Senior Software Engineer II (Integrations)

What You'll Do

• Design and build integrations, APIs, and data exchange systems that connect Wrapbook to accounting, ERP, and other third-party and AI-enabled systems

• Own integration pipelines and SLAs end-to-end, ensuring data moves reliably between systems with clear expectations and well-defined metrics

• Define and manage data contracts that prevent upstream changes from breaking downstream integrations and analytics

• Pitch in at a code level, whether it's code reviews, executing tickets to keep the team on track, or taking ownership of critical customer data issues

• Work with cross-functional partners in product, design, research, business development, and go-to-market teams to build secure, compliant, and seamless integration experiences for companies and workers

• Be a technical influencer across the company, advocating for engineering-specific roadmap items and integrations best practices

• Provide technical direction through design reviews and pair programming

• Stand up observability across integrations so the team can understand system health and troubleshoot quickly

• Advocate for quick iterative development accompanied by experimentation analysis

• Participate in an on-call rotation to support production integration systems

What You'll Have

• Deep technical expertise in building integrations, APIs, and data exchange systems; accounting integrations or systems experience a plus

• Experience designing and developing data-centric systems, including ETL/ELT pipelines and data architecture; data architecture experience a plus

• Familiarity with a variety of data lakes, BI systems , and iPaaS platforms a plus

• Strong coding fluency and hands-on experience with modern data/integration tooling (e.g., Dagster, Airbyte, Airflow, dbt ) as well as Python and Rails

• Experience with accounting systems and basic accounting principles a plus

• High ownership mentality — self-directed and solution-oriented, comfortable with ambiguity, and able to drive execution with minimal oversight

• Systems and architectural thinking — proven ability to design scalable, elegant architecture that balances performance, cost, and governance

• A collaborative mindset — experience partnering across product, data, compliance, and security to align architecture with business goals

• An AI-centric workflow — comfort using AI coding assistants (e.g., Claude Code ) and building AI-enabled agents and MCP servers as part of your engineering toolkit

• Excellent communication and interpersonal skills that allow you to effectively influence an organization

• Experience working with Scrum or Agile teams

Our Tech Stack

• Full stack Ruby on Rails (Frontend & Backend)

• StimulusJS

• Redis

• PostgreSQL/Snowflake

• Python

• Typescript