Full Stack Software Engineer – Python, React, Azure

CliftonLarsonAllen•Arlington, VA

16h

About The Position

CLA is currently seeking an Associate Software Engineer – Platform & Workflow Automation to join our growing CLA Digital - Data and Automation Team We’re looking for a motivated and curious Associate Developer to join our agile product development team. You’ll work across the full stack, contributing to cloud-native applications using Python, React, Azure, and workflow automation technologies like Temporal. You’ll also gain exposure to cloud infrastructure and containerized environments while learning from experienced developers in a supportive, collaborative environment.

Requirements

No experience required.
Bachelor's degree is required.
Combination of relevant experience, education, and training may be accepted in lieu of degree.
Degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred.

Nice To Haves

1 year of experience preferred
Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred.
Proficiency in at least one programming language (preferably Python or JavaScript).
Understanding of REST APIs, web application architecture, and CI/CD principles preferred
Basic familiarity with cloud platforms (preferably Azure) and containerized applications preferred
Exposure to infrastructure-as-code or a strong interest in learning ARM, Bicep, or Terraform preferred
Awareness of Kubernetes concepts or willingness to learn Kubernetes-based deployment models preferred
Basic knowledge of version control systems (Git) and Agile methodology preferred

Responsibilities

Collaborate with team members to implement new features across the stack (Python, React, YAML).
Write clean, testable, and well-documented code.
Contribute to the development of APIs, UI components, and workflow automations.
Assist with integrating and configuring cloud services such as Azure Storage, Cosmos DB, PostgreSQL, and Key Vault.
Support infrastructure and deployment work by contributing to infrastructure-as-code templates under guidance.
Assist with deploying and troubleshooting containerized applications in Kubernetes-based or managed container environments.
Participate in code reviews, stand-ups, and sprint planning.
Troubleshoot and debug issues across environments (dev, staging, prod).
Maintain documentation related to features and technical decisions.