Senior Python Engineer

About Solifi

About Solifi deliver a solid financial technology foundation for equipment, working capital, wholesale, and automotive finance firms. At Solifi, we believe that commerce is only as strong as the system it runs on. Our mission is to reshape finance technology by bringing together proven solutions into a singular powerful technology platform designed to help protect and scale financial organizations. We guard our customers by being precise and reliable, we guide their success by combining powerful technology with proven expertise, and we help them grow by unleashing their potential.

You will be working with other engineers to build out a new product for Solifi. The team consists of Python engineers, Angular engineers, and software quality automation engineers.

As a Senior Python Engineer, you will play a key role in designing, building, and maintaining the backend services and APIs that power Solifi’s risk‑management clearinghouse. You will develop cloud‑native Python applications that sit on top of our data platform, exposing curated data and business logic to product features through well‑designed, performant interfaces.

• Design, build, and maintain Python backend services and RESTful APIs that power product features built on top of our data platform.
• Develop clean, well‑structured application code in Python, with strong attention to readability, testability, and long‑term maintainability.
• Design API contracts and service boundaries that balance product needs, performance, and consumer ergonomics.
• Query and integrate with data lakes and data warehouses (e.g., S3‑based lakes, Redshift) to surface curated datasets through application APIs.
• Write and tune SQL against analytical and transactional sources to support product features and backend workflows.
• Build and maintain AWS‑native backend infrastructure using services such as Lambda, ECS/Fargate, API Gateway, S3, and RDS.
• Implement authentication, authorization, validation, error handling, and observability across services.
• Partner with data engineers to understand upstream pipelines and ensure application services consume data correctly and efficiently.
• Work with product managers, designers, and engineers to translate product requirements into well‑scoped services and endpoints.
• Troubleshoot and resolve issues across application, integration, and storage layers, improving reliability and performance over time.
• Participate in code reviews, design discussions, and planning sessions to ensure engineering excellence.
• Contribute to continuous improvement of backend patterns, tooling, and developer workflows.

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of experience in software engineering with strong exposure to cloud‑native backend services.
• Strong experience building production Python applications, including REST APIs and backend services.
• Proficiency with at least one modern Python web framework (e.g., FastAPI, Flask, or Django).
• Hands‑on experience with AWS application services, especially:
  • Compute (Lambda, ECS/Fargate, or EC2)
  • API Gateway and/or application load balancers
  • S3 and at least one relational database (RDS, Postgres, etc.)
• Strong proficiency in SQL, including query design and performance tuning.
• Working understanding of data pipelines, data lakes, and data warehouses sufficient to consume them effectively from application code.
• Experience designing and versioning RESTful APIs and integrating them with downstream consumers.
• Solid grasp of testing practices for backend services (unit, integration, and contract tests).
• Strong understanding of service reliability, observability, logging, and monitoring practices.
• Excellent problem‑solving, debugging, and communication skills.
• Ability to work independently while collaborating effectively within a cross‑functional engineering team.

• Experience building services that sit on top of a data platform or data warehouse (e.g., Redshift, Snowflake, Databricks).
• Familiarity with columnar/structured data formats (Parquet, Avro, ORC) when consuming data from a lake.
• Familiarity…