Software Engineer, Integrations

This is a fully remote position, open to applicants in New York.

📋 Description

• Develop, scale, and manage integrations that connect M7 Health with healthcare systems' time-and-attendance and HRIS platforms.

• Improve and expand current integrations with UKG, Symplr, Workday, and ADP.

• Create new integrations to broaden platform accessibility.

• Design transformation and reconciliation logic for diverse source data.

• Ensure robust and accurate data pipelines as customer needs and source systems evolve.

• Assist in monitoring, alerting, and maintaining runbooks.

• Engage in the team's on-call rotation.

• Investigate data discrepancies to identify root causes and resolve underlying issues.

• Develop systems with features for idempotency, replay, and recovery.

• Convert customer technical requirements into well-defined systems alongside product teams.

• Ensure integrations are deployable, well-documented, and supportable at scale in collaboration with the Activations team.

• Participate in technical discussions with customer IT, payroll, or HR departments.

• Contribute to at least one new integration from inception to completion, including scoping from the source system through to customer launch.

⛳️ Requirements

• Over 4 years of experience in building and operating production software.

• Proven history of owning systems from start to finish.

• Proficiency with REST and SOAP APIs.

• Familiarity with file-based and SFTP data feeds.

• Experience with webhook architectures.

• Understanding of data schemas and SQL.

• Background in transformation and reconciliation logic for complex external systems.

• Knowledge of data accuracy and idempotency principles.

• Experience with failure modes, observability, and recovery processes.

• Strong ability to communicate technical findings and data inconsistencies effectively.

• Capable of navigating ambiguity and working with undocumented source systems.

• Proficient in using AI coding assistants in day-to-day tasks.

• Must be authorized to work in the United States.

• Preferred: hands-on experience with UKG data models.

• Preferred: experience in healthcare SaaS.

• Preferred: familiarity with TypeScript, Node.js, NestJS, PostgreSQL, and AWS or similar cloud infrastructures.

• Preferred: experience in data platforms or pipelines that support intelligence or ML features.

• Preferred: experience in a venture-backed startup environment.

🏝️ Benefits

• Competitive compensation aligned with industry standards.

• Annual bonus based on performance.

• Comprehensive healthcare benefits.

• Option for remote work for eligible candidates.

• Opportunity to contribute to AI-driven healthcare workforce solutions on a national scale.