Python Developer

Work closely with business team, business analysts, and architects and be able to quickly understand the new requirements and helps to identify the changes to the system.

Work closely on a day-to-day basis with development team, designers, copy writers and other IT teams.

The role develops and presents recommendations from analysis of current solution. Assist in design peer reviews, code peer reviews, build and unit test functional enhancements. Identify areas for code refactoring. Review and contribute to development process and procedures to assist in the continual improvement of the development team activities.

Be able to offer solutions and designs to solve process, project or program issues; provides recommendations to improve the efficiency and effectiveness. Defends a recommendation and can confidently support it.

Strong organization, communication, and interpersonal skills. Ability to communicate with business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal

Must be able to exhibit technical thought leadership and excellent problem solving ability, with an aptitude for technical innovation.

5+ years of software development experience

Strong backend development experience with Python, writing clean and maintainable production code

Proven experience designing and building production APIs (FastAPI preferred)

Strong system and API design skills, including scalability, performance, and reliability

Strong SQL skills for data modeling and query optimization

Experience designing and using caching strategies

Cloud experience (preferably AWS) on services beyond basic compute, storage, and databases

Experience with infrastructure-as-code and cloud-native architectures

Strong debugging and problem-solving skills

Consistently follows coding standards, testing practices, and code review processes

Proficient with Git workflows and CI/CD pipelines

Experience with Databricks, Spark, and data engineering workflows

Familiarity with LLMs and modern AI tooling

Experience with Docker and Kubernetes

Understanding of event-driven architectures