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Relativity

Advanced Software Engineer

Posted 2 Days Ago
In-Office
20 Locations
103K-155K Annually
Junior
In-Office
20 Locations
103K-155K Annually
Junior
The Advanced Software Engineer will develop AI features, improve data processing pipelines, implement CI/CD, and ensure software quality.
The summary above was generated by AI

Posting Type

Hybrid

Job Overview

Are you looking for a hybrid or remote work opportunity? Are you looking for a role where you can develop user-facing AI features that reduce current user workflows by 10x...100x+? Are you seeking to join a talented team delivering features that deliver on the promise of AI?
Every year, the global justice system benefits from the insights of Relativity AI on billions of documents – and we are global experts in leveraging generative AI to improve user experience, product, legal matter, and investigation at Relativity. We are focused on helping our users discover the truth more quickly, organize their data, and act on it with confidence.
We're looking for an Advanced Software Engineer to join our Relativity Privilege Engineering team. Come work with a dynamic group of talented professionals building applications that power the pursuit of justice.

Job Description and Requirements

Job Responsibilities

  • Build user-facing features for our Relativity Privilege product (server-side)
  • Improve and scale our complex distributed data processing pipeline
  • Collaborate with team members to implement new features, bug fixes, and CI/CD
  • Build high quality, maintainable solutions
  • Participate in code reviews and continue to develop your Engineering skillset with the latest AI tools and methods for developing software
  • Stay up-to-date with technologies and best practices related to CI/CD tooling and developer productivity
  • Implement unit and integrations tests
  • Participate in 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
  • 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 CI/CD, and Pulumi

Nice to Have

  • Experience building AI-powered products that use NLP, LLMs
  • Knowledge of Linux • Knowledge of Go or Python language
  • Knowledge of NoSQL database systems such as MongoDB, CosmoDB, Elasticsearch
  • Fundamental knowledge of Kubernetes and container-based systems
  • Experience using and building dashboards in tools like New Relic, Grafana, Snowflake
  • 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 $155,000

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. 

Suggested Skills:

Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

Top Skills

Azure Devops
C#
Cosmodb
Elasticsearch
Git
Gitlab Ci/Cd
Go
Grafana
Hadoop
Java
Kafka
Kubernetes
Linux
MongoDB
New Relic
Pulumi
Python
Snowflake
Spark
HQ

Relativity Chicago, Illinois, USA Office

We’re a community of passionate, life-long learners tackling challenging problems. We care about each other and about our community.

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