Posting Type
Hybrid
Job Overview
Are you looking to be in a workplace where colleagues inspire one another, working together to build AI software solutions?We're looking for an Advanced Software Engineer to join our Relativity Privilege Engineering team. Come work with a dynamic group of talented professionals focusing on NLP-based applications that power the pursuit of justice.
Job Description and Requirements
Responsibilities:
- Build user-facing features for our Relativity Privilege product (front-end and server-side)
- Improve and scale our complex distributed data processing pipeline
- Collaborate team members to implement new features, bug fixes, and CI/CD (we own DevOps responsibilities)
- Understand department-wide initiatives and guidelines, ensure work is aligned with Engineering-wide policies and direction
- Build high quality, maintainable solutions
- Participate in code reviews and continue to develop your Engineering skillset
- Stay up-to-date with technologies and best practices related to CI/CD tooling and developer productivity
- Implement unit and integrations tests
- Participate in the on-call rotation and handle escalations as necessary
Qualifications:
- 2+ years of professional experience in software development
- Strong computer science fundamentals in algorithms, data structures and computational complexity
- A self-starter driven to make an impact
- Strong Communications skills
- Proficiency in Java or C#
- Comfortable working from Specifications to create a Technical Approach and scoping work
- Ability to consistently deliver modular and scalable solutions in a timely manner
- Obsession with software quality and empathy for customer experience
- Technical understanding and experience with at least two of the following DevOps Platforms: GitHub, Azure DevOps, GitLab, and Jenkins
Nice to have:
- Experience building AI-powered products that use Natural Language Processing or Machine Learning
- Knowledge of Linux
- Knowledge of NoSQL database systems such as MongoDB, Redis, Elasticsearch
- Fundamental knowledge of Kubernetes and container-based systems
- Experience with distributed processing technologies, e.g. Spark, Hadoop, Kafka
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:
$103,000 and $155,000The 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.
Top Skills
What We Do
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it.
Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200.
Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.
Why Work With Us
We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.
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