Jobs at RedSail Technologies

• Collect, process, and analyze pharmacy-related datasets — including pharmacy claims, MediSpan, clinical program data, and healthcare metrics — to uncover trends, opportunities, and program outcomes.
• Write and optimize complex SQL queries to extract and transform data from multiple sources, including Snowflake, databases, APIs, and spreadsheets.

• Own the design process for key initiatives from discovery and concepting through wireframes, high-fidelity designs, and handoff
• Design intuitive, scalable experiences for complex B2B marketplace workflows including search, comparison, ordering, checkout, post-purchase, and supplier-side tools

As a QA Automation Manager at Redsail Technologies, you will lead a team of automation engineers across multiple product lines to drive quality through scalable automation solutions. You will oversee test automation strategy, framework architecture, team development, and integration into the CI/C...

• Develops and delivers quality code that meets the functional requirements defined by product management.
• Ensures high quality by recommending and establishing coding best practices.

QA Automation EngineerJob Summary

As a QA Automation Engineer at RedSail Technologies, you will advance your skills in test automation, DevOps practices, and data management. You will develop more complex automation scripts and contribute to the CI/CD pipeline while collaborating with cross-func...

• Full-stack software development experience.
• Demonstrated ability with Agile SDLC, including standard agile ceremonies and leading engineers during an Agile sprint.

• Design, develop, test, and maintain software applications with a focus on quality and efficiency.
• Collaborate with cross-functional teams to define, design, and ship new features.

• Primary focus of work will be on smaller components of the application such as ownership of a screen or portion of a subsystem.
• Will assist others in the gathering and creation of feature specifications, requirements documents, and design documents.

• Collecting and storing data through manual and automated processes, including but not limited to establishing connections to static and dynamic data stores across the enterprise.
• Improving efficiency and quality of data infrastructure through a cycle of continuous quality improvement.