Truv

Truv

Director of Engineering, Integrations

Miami · Director

Sponsorship not specified$230k-$230kDetected 13 days ago
PythonDistributed SystemsCode ReviewCloud PlatformsAPI DevelopmentLLMsCompliancePerformance ManagementLeadershipCollaboration

About the role

  • Our technology streamlines income and employment verification, direct deposit switching, and more-eliminating outdated processes and unlocking greater financial opportunities.
  • Backed by $30M from top investors like Kleiner Perkins and NYCA, we're disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach.
  • We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

Responsibilities

  • Team capacity planning and hiring: define roles, manage recruitment, interviewing, make hiring decisions, oversee onboarding.
  • Leadership oversight and performance management for technical leads.
  • Team-building activities.
  • Regular performance reviews, address performance issues, and develop PIPs.
  • Guide architectural design and technical decisions for integration projects.
  • Lead design and implementation of data quality monitoring systems for payroll accuracy.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Engineering, Aviation Technology, or related technical field and five years of experience as a Software Engineer, Software Developer, or Backend Developer.
  • Knowledge of PII compliance frameworks and secure coding principles.
  • Experience with:

Compensation

  • Manage personnel (dismissals, promotions, leave authorizations, bonuses, compensation).

Benefits

  • Manage personnel (dismissals, promotions, leave authorizations, bonuses, compensation).

Company info

  • Technical interviewing.
  • Chrome DevTools Protocol (CDP).
  • LLM-based autonomous agents and workflows for data processing.

This listing is sourced directly from Truv's careers page and normalized into a canonical job model.