Software Engineer

Summary
As a full-stack software engineer and Dash Enterprise platform owner, you will
develop and maintain AI-driven enterprise applications and take ownership of our data science and
visualization platform. You will play a key role in developing both backend services and frontend
user interfaces, ensuring the effective utilization of Dash Enterprise to drive business value and
support critical use-cases. Collaborating with a dedicated team of data scientists, software
engineers, and business stakeholders, you will deliver innovative solutions that enhance user
experiences and support various data science projects.

What You ll Do

Design, develop, and maintain scalable APIs and backend services to support enterprise-
level applications.

Take ownership of the Dash Enterprise platform, ensuring its effective utilization to drive
business value and support critical use-cases.

Interact with business stakeholders to gather feedback and tailor solutions to business
needs.

Support the design and development of web applications in Dash Enterprise.
Develop and implement platform roadmaps, ensuring they are designed to meet current

and future business requirements.
Apply SDLC best practices, including requirement analysis, coding standards, code

reviews, source control management, build processes, testing, and operations.
Continuously explore and evaluate new features and capabilities of Dash Enterprise to

enhance the platform's functionality and user experience.

What We re Looking For

7+ years of experience in full-stack software engineering with a focus on API development
and frontend technologies.

Proficiency in Python.
Proficiency using Azure or similar cloud computing ecosystem.
Strong communication skills, and ability to collaborate with cross-functional teams and

business stakeholders.
Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.


Preferred Qualifications

Experience developing web applications with the Dash Python library.
Strong understanding of MLOps practices and tools for continuous integration and

continuous deployment (CI/CD).
Experience with the Azure ecosystem, including but not limited to Azure Data Lake Storage,

Azure Kubernetes Service (AKS), Azure DevOps, Azure Entra ID.