Mid-Level Software Developer

• 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

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., * 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, * 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, * Software deployment: 3 years (Preferred)

Ability to Commute:

• Dublin, OH 43017 (Preferred)

Work Location: Hybrid remote in Dublin, OH 43017

Pulled from the full job description

• Paid training
• 401(k) 4% Match
• Referral program
• On-the-job training
• Pet insurance
• AD&D insurance
• 401(k), * 401(k)
• 401(k) 4% Match
• 401(k) matching
• AD&D insurance
• Bereavement leave
• Dental insurance
• Dependent health insurance coverage
• Disability insurance
• Employee assistance program
• Flexible spending account
• Gym membership
• Health insurance
• Health savings account
• Life insurance
• On-the-job training
• Paid holidays
• Paid sick time
• Paid time off
• Partner benefits
• Pet insurance
• Referral program
• Retirement plan
• Vision insurance