Mid-Level Software Developer

We are seeking a motivated and collaborative Mid-Level Software Developer to join our growing engineering team. This role is ideal for a developer with experience building scalable applications, working with cloud infrastructure, and contributing to data-driven platforms and services.

Our company develops decision engines, underwriting systems, model execution platforms, data platforms, and business intelligence solutions focused on the consumer and commercial lending industries. The ideal candidate is excited about solving complex technical problems in a highly analytical, data-centric, and model-driven environment and contributing across multiple areas of the software stack.

Responsibilities

• Design, develop, test, and maintain scalable software applications and services
• Collaborate with engineering, analytics, operations, and business stakeholders across internal and external teams
• Develop and maintain integrations with internal and external data sources
• Write and optimize SQL queries and interact with relational databases and data warehouses
• Build backend systems and APIs using Python
• Contribute to the development of client-facing platforms such as underwriting systems, decision engines, and model execution platforms
• Work with cloud infrastructure and services, primarily within Amazon Web Services (AWS)
• Participate in CI/CD pipelines, deployment automation, and release processes
• Troubleshoot production issues and contribute to system reliability and performance improvements
• Participate in code reviews and contribute to engineering best practices and technical documentation

Required Qualifications

• 3+ years of professional software development experience with strong proficiency in Python and object-oriented programming principles
• Experience working with cloud computing platforms, preferably AWS
• Working knowledge of SQL and relational databases
• Experience using Git-based version control workflows
• Experience writing and maintaining automated tests and familiarity with CI/CD concepts and workflows
• Strong analytical, problem-solving, testing, and debugging skills
• Ability to communicate technical concepts clearly and work collaboratively in a team environment

Preferred Qualifications

• Experience with frontend development technologies such as JavaScript, React, HTML/CSS, or similar frameworks
• Familiarity with REST APIs, microservices, and distributed systems
• Experience working with financial services, lending, underwriting, risk, or credit-related platforms
• Exposure to data engineering concepts, ETL pipelines, or data warehouse technologies
• Experience with containerization technologies such as Docker
• Familiarity with Agile software development methodologies
• Experience working with large datasets and data-intensive applications
• Familiarity with statistical modeling, predictive analytics, or machine learning workflows
• Experience using data analysis tools and libraries such as Pandas or NumPy

Nice to Have

• Experience supporting machine learning or statistical model deployment workflows
• Exposure to workflow orchestration or event-driven architectures
• Experience with monitoring, observability, and logging platforms
• Understanding of security and compliance considerations in financial systems