Manager - Software Engineering

Regional Finance•Greer, SC

About The Position

Regional Management Corporation (RMC) is seeking an experienced, empathetic, and quality-focused Software Engineering Manager to lead the teams that build, support, and run loan application platforms within the Software Engineering team. The group develops and operates technology behind RMC’s consumer lending business, including loan application, origination, and servicing platforms used by branches and customers. The role owns delivery and day-to-day application health, reliability, compliance, people leadership, hiring, performance, delivery commitments, and production health. The manager will work with lead engineers on technical direction and partner with digital product management, branch operations, and other internal clients to understand business inquiries, define requirements, propose solutions, and deliver cross-functional projects and system integrations. The organization is developing a next-generation platform using AWS cloud computing, lightweight microservices, event-driven architecture, and relational and non-relational databases, on premises or in the public cloud. The role owns systems supporting the loan lifecycle, from application intake, identity verification, credit bureau and decisioning integrations, and underwriting through loan booking, servicing, and payments. It also leads production support, including on-call rotation, incident response, root cause analysis, support-queue management, stakeholder communications, and permanent fixes. The manager is accountable for platform reliability, including service level objectives, monitoring and alerting, reducing incident volume and recovery time, release and change risk, capacity planning, and disaster recovery testing for business-critical lending systems.

Requirements

  • BA/BS in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
  • 12+ years of experience, including software engineering experience and at least 2 years leading or managing engineering teams or application support teams.
  • Hands-on experience supporting production applications, including incident management, root cause analysis, and on-call operations.
  • Working knowledge of loan origination, servicing, or payments applications.
  • Strong technical foundation in modern application architecture, APIs, databases, and cloud infrastructure.
  • Must pass a drug screen and other pre-employment screenings.
  • Good interpersonal skills and ability to work well with others, with a friendly presence and helpful attitude.
  • Excellent oral and written communication skills, including clear incident updates and executive summaries.
  • Problem-solving and decision-making skills, including ability to manage shifting priorities, remain effective during production incidents, and act professionally in stressful situations.
  • Maintain knowledge of company guidelines, processes, practices, and procedures.
  • Maintain adequate knowledge of operating systems and application software used to provide a high level of support.
  • Build high-performing teams through coaching, clear expectations, and regular feedback.
  • Develop technical knowledge of company systems and specialized knowledge of nominated areas.
  • Understand opportunities and risks of AI in regulated consumer lending and guide responsible adoption.
  • Take ownership of platform reliability, treating uptime, data integrity, and customer impact as core measures of team success.

Nice To Haves

  • Master’s degree.
  • Experience as a Software Engineering Manager managing multiple Agile squads or teams working on multiple projects in an Agile environment.
  • Experience communicating with users, operations teams, technical teams, and senior leadership, explaining technical issues, incidents, and designs in clear business terms.
  • Experience recruiting, hiring, mentoring, coaching, and managing software engineers to improve their skills and effectiveness as product software engineers.
  • Prior experience in the consumer lending industry, including loan application, origination, or servicing platforms such as NLS.
  • Experience leading teams that delivered AI- or LLM-powered features into production, including guardrails, evaluation, and responsible-AI practices.
  • Experience with site reliability practices such as SLOs, error budgets, observability tools (e.g., Datadog, Splunk, or AWS CloudWatch), and disaster recovery testing.
  • ITIL or IT service management experience, ideally with Jira Service Management.

Responsibilities

  • Lead teams that build, support, and operate loan application platforms.
  • Own application delivery, day-to-day health, reliability, compliance, people leadership, hiring, performance, and delivery commitments.
  • Partner with lead engineers on the team’s technical direction.
  • Work with digital product management, branch operations, and internal clients to understand business needs, drive requirements, propose solutions, and deliver cross-functional projects and integrations.
  • Own systems supporting the loan lifecycle, including application intake, identity verification, credit bureau and decisioning integrations, underwriting, loan booking, servicing, and payments.
  • Lead production support, including on-call operations, incident response, root cause analysis, and permanent fixes.
  • Manage the support queue in the ticketing system and keep business stakeholders informed during incidents.
  • Reduce recurring production issues over time.
  • Define service level objectives for availability and performance; improve monitoring and alerting; reduce incident volume and mean time to recover; manage release and change risk; and plan capacity and disaster recovery testing.
  • Build and institutionalize a reliable engineering ecosystem on premises or in the public cloud.
  • Recruit, hire, mentor, coach, and manage engineering teams.
  • Drive predictable delivery while balancing speed, quality, security, and regulatory compliance.
  • Guide teams in responsible adoption of AI in regulated consumer lending.
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