Job description

Posting Type

Hybrid/Remote

Job Overview

Our team is the driving force behind Case Strategy, a comprehensive suite of applications designed to empower case teams in constructing winning cases. By seamlessly integrating with Relativity, Case Strategy allows users to quickly and easily define, validate, and present their case strategies. Our team owns the flagship AI product that significantly reduces the time and effort needed to analyze, organize, and understand case information, enhancing attorney productivity and case management. We are proud to be one of the few teams at Relativity leveraging AI to innovate our products, making us a leader in the legal tech space.

Job Description and Requirements

Your Role in Action:

Utilize new technologies and popular programming languages to design, build, and test our platform and applications.

Work on scalable and dynamic web systems that support integration with multiple search engines, clustering technologies, and client component interaction through web services.

Learn to build highly distributable systems composed of multiple databases, processing, and web servers.

Participate in the SCRUM process.

Troubleshoot and resolve issues.

Your Skills:

Current or recent student pursuing a bachelor's or master's degree in Computer Science, Math, or a related field.

Passion for web development.

Desire to work with the Agile development methodology.

Strong team player.

What You'll Gain:

Hands-on experience writing code in a large codebase.

Opportunity to learn new programming languages such as C# and JavaScript.

Experience working in an Agile environment.

Enhanced technical skills with a strong emphasis on testing.

Join us at Relativity and be part of a dynamic team that is at the forefront of legal tech innovation. Apply now to make a real impact in the legal industry!

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$48,000 and $63,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

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