Lead and grow the Integrations engineering team at Truv. Oversee hiring, performance, architecture, and delivery of secure payroll data extraction systems, data quality monitoring, and LLM-powered workflows while ensuring SOC 2 compliance and PII security.
180k – 220k
Remote8+ YOEEngineering Management
About the role
Responsibilities
Team capacity planning and hiring: define roles, manage recruitment, interviewing, make hiring decisions, oversee onboarding.
Hold regular team and one-on-one meetings.
Provide leadership oversight and performance management for technical leads.
Conduct regular performance reviews, address performance issues, and develop PIPs.
Run regular grooming sessions.
Assign and monitor engineering tasks.
Provide technical validation (code review, quality assessment, and release authorization); serve as an escalation point for critical issues.
Guide architectural design and technical decisions for integration projects.
Define and enforce team-wide engineering standards.
Oversee infrastructure architecture and security for distributed systems processing sensitive payroll, financial, and PII data in SOC 2-compliant environments.
Lead design and implementation of data quality monitoring systems for payroll accuracy.
Oversee project planning, execution, and timely completion.
Task prioritization, track improvements in business metrics, identify blockers.
Represent the engineering team in client-facing technical discussions.
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.
Proficiency in Python development, distributed backend architecture, API design, performance optimization, relational databases, and major cloud platform deployment.
Experience with designing authorized data extraction systems; API reverse-engineering, browser automation, anti-automation mitigation in compliant, user-authorized environments.
Experience handling sensitive financial data.
Experience implementing observability systems.
Experience with data quality monitoring with alerting for production environments.
Experience implementing data validation and verification techniques, including heuristic or statistical methods for cross-source data validation of financial information.
Experience leading technical projects from design to release.
Experience establishing, enforcing engineering standards, code review workflows, and development best practices.
Experience with cross-functional collaboration: translating business requirements into technical solutions.
Experience with technical interviewing.
Experience with Chrome DevTools Protocol (CDP).
Experience with LLM-based autonomous agents and workflows for data processing.
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