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TrueML is a mission-driven financial software company using machine learning to create better customer experiences for distressed borrowers. The company combines data scientists, financial services experts, and customer experience specialists to build technology that recognizes unique customer needs and ensures financial inclusion.
The Legacy Performance Improvement team maintains and modernizes the systems that power TrueML's highest-revenue projects. These are business-critical platforms with organization-wide visibility and real impact.
In this role, you will design, build, and maintain internal tools and services within legacy systems. You'll contribute to architectural decisions about how to incrementally modernize and improve existing platforms, deliver on high-revenue projects where reliability and performance are essential, and collaborate with stakeholders across engineering and the business to understand needs and communicate progress.
Key responsibilities include:
- Design, build, and maintain internal tools and services, primarily within legacy systems
- Contribute to architectural decisions for incremental modernization of existing platforms
- Deliver on high-revenue projects where reliability, correctness, and performance are critical
- Collaborate with stakeholders across engineering and business to understand needs
- Improve maintainability, testing, and observability of existing codebases
- Write clear technical documentation and share knowledge with the team
- Participate in code reviews, mentor less-experienced engineers, and raise the engineering bar
Success in this role means shipping meaningful improvements to legacy platforms, taking ownership of services or components, contributing to architectural discussions, earning stakeholder trust for reliable delivery, and becoming a dependable code reviewer and source of sound technical judgment.
QUALIFICATIONS:
- 5+ years of professional software engineering experience building and shipping production software
- Experience with software architecture, including designing systems and making sound technical trade-offs
- Comfort working in and improving legacy codebases
- Strong programming fundamentals and ability to learn new languages and tools quickly
- Experience with Python
- Experience building services or APIs used by other engineers or internal teams
- Strong communication skills and confidence working on high-visibility projects
Nice to have:
- Experience leading or contributing to legacy system modernization or migration efforts
- Familiarity with cloud infrastructure (AWS/GCP), containers, and CI/CD pipelines
