Engineering Manager
Brim Financial
Company Overview
Brim Financial is one the fastest growing enterprise technology companies, according to Deloitte’s Technology Fast 50™ in North America. Brim's Credit-Card-as-a-Service has been recognized as best-in-class for product capabilities by Aite-Novarica Group in their analysis of global Credit-Card-as-a-Service providers. Brim’s robust platform and feature-rich products deliver a broad suite of payment solutions for Businesses and Consumers as well as comprehensive Enterprise Workflows for issuers.
Job Summary
We are looking for an experienced Engineering Manager (Python, PHP, R) with a strong technical background in Python, PHP, and R to lead a high-performance development team. The ideal candidate combines software engineering expertise with leadership capabilities to drive innovation, optimize workflows, and mentor a team of engineers.
Key Responsibilities
- Lead, mentor, and grow a team of software engineers across multiple projects.
- Provide hands-on guidance in PHP, JSON, PYTHON, and R, ensuring high-quality code, security, and best practices.
- Optimize efficiency across all software engineers and ensure that all deadlines are met.
- Collaborate with cross-functional teams to define and execute the technical roadmap.
- Optimize engineering processes and adopt DevOps methodologies where applicable.
- Ensure scalability, security, and reliability of software applications.
- Set performance goals, conduct regular code reviews, and promote professional development.
Required Qualifications
- 8+ years of software development experience, with at least 3+ years in a managerial or leadership role.
- Strong expertise in Python, PHP, and R, with a track record of building scalable applications.
- Solid understanding of database management (MySQL, MariaDB).
- Familiarity with CI/CD pipelines and DevOps methodologies.
- Experience managing engineering teams in an agile environment.
- Strong communication and leadership skills, with a focus on mentorship.
Preferred Qualifications
- Experience in AI, data science, analytics, or statistical modeling using R.
- Familiarity with machine learning frameworks and libraries
- Background in developing API-driven architectures.
- Experience with performance optimization and scalability challenges.